| row_id,title,url,url_kind,domain,audit_status,http_status,final_url,content_type,source_title,source_description,github_repo,github_stars,github_forks,github_open_issues,github_description,github_license,github_updated_at,arxiv_id,error,retrieved_at |
| ale-0001,Canonical Definition,DEFINITION.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/DEFINITION.md,,Canonical Definition,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0002,Loop Engineering Manifesto,MANIFESTO.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/MANIFESTO.md,,Loop Engineering Manifesto,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0003,Loop Engineering Taxonomy,TAXONOMY.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/TAXONOMY.md,,Loop Engineering Taxonomy,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0004,Loop Engineering Anti-Patterns,ANTI-PATTERNS.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/ANTI-PATTERNS.md,,Loop Engineering Anti-Patterns,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0005,Comparison Guide,COMPARISON.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/COMPARISON.md,,Comparison Guide,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0006,Sourced Signals And Quotes,QUOTES.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/QUOTES.md,,Sourced Signals And Quotes,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0007,Outreach Kit,meta/OUTREACH.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/meta/OUTREACH.md,,Outreach Kit,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0008,Loop Engineering,https://addyosmani.com/blog/loop-engineering/,external,addyosmani.com,ok,200,https://addyosmani.com/blog/loop-engineering/,text/html; charset=UTF-8,AddyOsmani.com - Loop Engineering,You don't really need to be good at prompting anymore. The thing to get good at is the loop that does the prompting for you. It's five building blocks plus s...,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0009,Loop Engineering,https://addyo.substack.com/p/loop-engineering,external,addyo.substack.com,ok,200,https://addyo.substack.com/p/loop-engineering,text/html; charset=utf-8,Loop Engineering - by Addy Osmani - Elevate,Loop engineering is replacing yourself as the person who prompts the agent.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0010,Loop Engineering,https://cobusgreyling.substack.com/p/loop-engineering,external,cobusgreyling.substack.com,ok,200,https://cobusgreyling.substack.com/p/loop-engineering,text/html; charset=utf-8,Loop Engineering,The core of Loop Engineering,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0011,Loop Engineering: The Guide for AI Agents,https://lushbinary.com/blog/loop-engineering-ai-coding-agents-guide/,external,lushbinary.com,ok,200,https://lushbinary.com/blog/loop-engineering-ai-coding-agents-guide/,text/html,Loop Engineering: The Guide for AI Agents | Lushbinary,"Loop engineering means designing the systems that prompt your AI agents, not prompting by hand. The 5 building blocks, Claude Code & Codex commands, and risks. Updated June 2026.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0012,Codex Loops: What Boris Cherny Gets Right About Managing Agent Work,https://www.developersdigest.tech/blog/codex-loops-boris-cherny-agent-routines,external,www.developersdigest.tech,ok,200,https://www.developersdigest.tech/blog/codex-loops-boris-cherny-agent-routines,text/html; charset=utf-8,Codex Loops: What Boris Cherny Gets Right About Managing Agent Work - Developers Digest,"Boris Cherny's loop-heavy Claude Code workflow points at the next Codex content lane: recurring agents that babysit PRs, CI, deploys, and feedback streams.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0013,I Now Just Write Loops To Prompt Claude Code: Claude Code Creator Boris Cherny,https://officechai.com/ai/i-now-just-write-loops-to-prompt-claude-code-claude-code-creator-boris-cherny/,external,officechai.com,ok,200,https://officechai.com/ai/i-now-just-write-loops-to-prompt-claude-code-claude-code-creator-boris-cherny/,text/html; charset=UTF-8,I Now Just Write Loops To Prompt Claude Code: Claude Code Creator Boris Cherny,"The definition of top tier coding is changing month-on-month in the AI era. Boris Cherny, the creator of Claude Code at Anthropic, has...",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0014,My Lord! AI Programming Undergoes Another Major Shift,https://eu.36kr.com/en/p/3844224911346184,external,eu.36kr.com,ok,200,https://eu.36kr.com/en/p/3844224911346184,text/html; charset=utf-8,My Lord! AI Programming Undergoes Another Major Shift: Claude Code Father & Lobster Founder Endorse New Paradigm - Could It Kill Prompt Engineering?,Stop writing prompts for programming agents now.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0015,Peter Steinberger on designing loops,https://x.com/steipete/status/2063697162748260627,external,x.com,ok,200,https://x.com/steipete/status/2063697162748260627,text/html; charset=UTF-8,"Peter Steinberger 🦞 on X: ""Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents."" / X",Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0016,The Anthropic leader who built Claude Code ditched prompting - now he writes loops,https://thenewstack.io/loop-engineering/,external,thenewstack.io,ok,200,https://thenewstack.io/loop-engineering/,text/html; charset=UTF-8,The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. - The New Stack,Loop engineering — the practice of designing automated agent workflows instead of prompting manually — is reshaping how developers use Claude Code and OpenAI Codex in 2026.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0017,Stop Prompting. Design the Loop.,https://www.pulumi.com/blog/stop-prompting-design-the-loop/,external,www.pulumi.com,ok,200,https://www.pulumi.com/blog/stop-prompting-design-the-loop/,text/html; charset=utf-8,Stop Prompting. Design the Loop. | Pulumi Blog,"The unit of work moved from the prompt to the loop. The five pieces of loop engineering, the memory that makes it compound, and what it won't do for you.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0018,Boris Cherny: five tips for running Opus autonomously for hours or days,https://x.com/bcherny/status/2063792263067754658,external,x.com,ok,200,https://x.com/bcherny/status/2063792263067754658,text/html; charset=UTF-8,"Boris Cherny on X: ""Seeing a number of benchmarks showing Opus is the best model for long-running work. Five tips for running Opus autonomously for hours/days: 1. Use auto mode for permissions, so Claude doesn’t ask for approval 2. Use dynamic workflows, to have Claude orchestrate"" / X","Seeing a number of benchmarks showing Opus is the best model for long-running work. Five tips for running Opus autonomously for hours/days: 1. Use auto mode for permissions, so Claude doesn’t ask for approval 2. Use dynamic workflows, to have Claude orchestrate",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0019,Automations - Codex app,https://developers.openai.com/codex/app/automations,external,developers.openai.com,ok,200,https://developers.openai.com/codex/app/automations,text/html; charset=utf-8,Automations – Codex app | OpenAI Developers,Schedule recurring Codex tasks,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0020,Follow a goal - Codex use cases,https://developers.openai.com/codex/use-cases/follow-goals,external,developers.openai.com,ok,200,https://developers.openai.com/codex/use-cases/follow-goals,text/html; charset=utf-8,Follow a goal | Codex use cases,Use `/goal` when a task needs Codex to keep working across turns toward a verifiable stopping condition.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0021,Worktrees - Codex app,https://developers.openai.com/codex/app/worktrees,external,developers.openai.com,ok,200,https://developers.openai.com/codex/app/worktrees,text/html; charset=utf-8,Worktrees – Codex app | OpenAI Developers,Leverage Git worktrees within the Codex app to let Codex work in parallel,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0022,Prompting - Codex,https://developers.openai.com/codex/prompting,external,developers.openai.com,ok,200,https://developers.openai.com/codex/prompting,text/html; charset=utf-8,Prompting – Codex | OpenAI Developers,Interacting with the Codex agent,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0023,Customization - Codex,https://developers.openai.com/codex/concepts/customization,external,developers.openai.com,ok,200,https://developers.openai.com/codex/concepts/customization,text/html; charset=utf-8,Customization – Codex | OpenAI Developers,"How to customize Codex with project guidance, skills, MCP, and subagents",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0024,Agent Skills - Codex,https://developers.openai.com/codex/skills,external,developers.openai.com,ok,200,https://developers.openai.com/codex/skills,text/html; charset=utf-8,Agent Skills – Codex | OpenAI Developers,Give Codex new capabilities and expertise,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0025,Plugins - Codex,https://developers.openai.com/codex/plugins,external,developers.openai.com,ok,200,https://developers.openai.com/codex/plugins,text/html; charset=utf-8,Plugins – Codex | OpenAI Developers,Use plugins in Codex to add reusable workflows with skills and app integrations,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0026,dotskills,https://github.com/vincentkoc/dotskills,external,github.com,ok,200,https://github.com/vincentkoc/dotskills,text/html; charset=utf-8,"GitHub - vincentkoc/dotskills: 🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns. · GitHub","🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns. - vincentkoc/dotskills",vincentkoc/dotskills,88,7,7,"🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.",MIT,2026-06-19T11:59:10Z,,,2026-06-21T15:15:25+00:00 |
| ale-0027,Slash commands in Codex CLI,https://developers.openai.com/codex/cli/slash-commands,external,developers.openai.com,ok,200,https://developers.openai.com/codex/cli/slash-commands,text/html; charset=utf-8,Slash commands in Codex CLI | OpenAI Developers,Control Codex during interactive sessions,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0028,Autonomous Loops,https://claudecodeguide.dev/docs/patterns/autonomous-loops,external,claudecodeguide.dev,ok,200,https://claudecodeguide.dev/docs/patterns/autonomous-loops,text/html; charset=utf-8,Claude Code Autonomous Loops | Claude Code Guide,"Point Claude Code at a problem, walk away, come back to a green build. Task templates, kill switches, and why boundaries matter more than anything else.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0029,Claude Code Glossary,https://code.claude.com/docs/en/glossary.md,external,code.claude.com,ok,200,https://code.claude.com/docs/en/glossary.md,text/markdown; charset=utf-8,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0030,Keep Claude working toward a goal,https://code.claude.com/docs/en/goal,external,code.claude.com,ok,200,https://code.claude.com/docs/en/goal,text/html; charset=utf-8,Keep Claude working toward a goal - Claude Code Docs,Set a completion condition with /goal and Claude keeps working across turns until the condition is met.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0031,Run prompts on a schedule,https://code.claude.com/docs/en/scheduled-tasks,external,code.claude.com,ok,200,https://code.claude.com/docs/en/scheduled-tasks,text/html; charset=utf-8,Run prompts on a schedule - Claude Code Docs,"Use /loop and the cron scheduling tools to run prompts repeatedly, poll for status, or set one-time reminders within a Claude Code session.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0032,Automate work with routines,https://code.claude.com/docs/en/routines,external,code.claude.com,ok,200,https://code.claude.com/docs/en/routines,text/html; charset=utf-8,Automate work with routines - Claude Code Docs,"Put Claude Code on autopilot. Define routines that run on a schedule, trigger on API calls, or react to GitHub events from Anthropic-managed cloud infrastructure.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0033,Desktop scheduled tasks,https://code.claude.com/docs/en/desktop-scheduled-tasks,external,code.claude.com,ok,200,https://code.claude.com/docs/en/desktop-scheduled-tasks,text/html; charset=utf-8,Schedule recurring tasks in Claude Code Desktop - Claude Code Docs,"Set up scheduled tasks in Claude Code Desktop to run Claude automatically on a recurring basis for daily code reviews, dependency audits, or morning briefings.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0034,Run parallel sessions with worktrees,https://code.claude.com/docs/en/worktrees,external,code.claude.com,ok,200,https://code.claude.com/docs/en/worktrees,text/html; charset=utf-8,Run parallel sessions with worktrees - Claude Code Docs,"Isolate parallel Claude Code sessions in separate git worktrees so changes don't collide. Covers the --worktree flag, subagent isolation, .worktreeinclude, cleanup, and non-git VCS hooks.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0035,Automate actions with hooks,https://code.claude.com/docs/en/hooks-guide,external,code.claude.com,ok,200,https://code.claude.com/docs/en/hooks-guide,text/html; charset=utf-8,Automate actions with hooks - Claude Code Docs,"Run shell commands automatically when Claude Code edits files, finishes tasks, or needs input. Format code, send notifications, validate commands, and enforce project rules.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0036,Hooks reference,https://code.claude.com/docs/en/hooks.md,external,code.claude.com,ok,200,https://code.claude.com/docs/en/hooks.md,text/markdown; charset=utf-8,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0037,Common workflows - Claude Code,https://code.claude.com/docs/en/common-workflows,external,code.claude.com,ok,200,https://code.claude.com/docs/en/common-workflows,text/html; charset=utf-8,Common workflows - Claude Code Docs,"Step-by-step guides for exploring codebases, fixing bugs, refactoring, testing, and other everyday tasks with Claude Code.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0038,Manage multiple agents with agent view,https://code.claude.com/docs/en/agent-view.md,external,code.claude.com,ok,200,https://code.claude.com/docs/en/agent-view.md,text/markdown; charset=utf-8,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0039,Run agents in parallel,https://code.claude.com/docs/en/agents.md,external,code.claude.com,ok,200,https://code.claude.com/docs/en/agents.md,text/markdown; charset=utf-8,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0040,Orchestrate subagents at scale with dynamic workflows,https://code.claude.com/docs/en/workflows,external,code.claude.com,ok,200,https://code.claude.com/docs/en/workflows,text/html; charset=utf-8,Orchestrate subagents at scale with dynamic workflows - Claude Code Docs,"Dynamic workflows orchestrate many subagents from a script Claude writes and you can rerun. Use them for codebase audits, large migrations, and cross-checked research.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0041,Create plugins,https://code.claude.com/docs/en/plugins,external,code.claude.com,ok,200,https://code.claude.com/docs/en/plugins,text/html; charset=utf-8,Create plugins - Claude Code Docs,"Create custom plugins to extend Claude Code with skills, agents, hooks, and MCP servers.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0042,Model Context Protocol,https://modelcontextprotocol.io/docs/getting-started/intro,external,modelcontextprotocol.io,ok,200,https://modelcontextprotocol.io/docs/getting-started/intro,text/html; charset=utf-8,What is the Model Context Protocol (MCP)? - Model Context Protocol,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0043,Allowing GitHub Copilot CLI to work autonomously,https://docs.github.com/en/copilot/concepts/agents/copilot-cli/autopilot,external,docs.github.com,ok,200,https://docs.github.com/en/copilot/concepts/agents/copilot-cli/autopilot,text/html; charset=utf-8,Allowing GitHub Copilot CLI to work autonomously - GitHub Docs,"The CLI's autopilot mode lets Copilot CLI work autonomously on a task, carrying out multiple steps until the task is complete.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0044,Run long horizon tasks with Codex,https://developers.openai.com/blog/run-long-horizon-tasks-with-codex,external,developers.openai.com,ok,200,https://developers.openai.com/blog/run-long-horizon-tasks-with-codex,text/html; charset=utf-8,Run long horizon tasks with Codex | OpenAI Developers,OpenAI Developer Blog,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0045,Best practices - Codex,https://developers.openai.com/codex/learn/best-practices,external,developers.openai.com,ok,200,https://developers.openai.com/codex/learn/best-practices,text/html; charset=utf-8,Best practices – Codex | OpenAI Developers,Getting started with Codex and proven practices for better results,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0046,Agents SDK,https://developers.openai.com/api/docs/guides/agents,external,developers.openai.com,ok,200,https://developers.openai.com/api/docs/guides/agents,text/html; charset=utf-8,Agents SDK | OpenAI API,Learn how the OpenAI Agents SDK fits together and which docs to read next.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0047,Agents - OpenAI Agents SDK,https://openai.github.io/openai-agents-python/agents/,external,openai.github.io,ok,200,https://openai.github.io/openai-agents-python/agents/,text/html; charset=utf-8,Agents - OpenAI Agents SDK,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0048,Running agents,https://developers.openai.com/api/docs/guides/agents/running-agents,external,developers.openai.com,ok,200,https://developers.openai.com/api/docs/guides/agents/running-agents,text/html; charset=utf-8,Running agents | OpenAI API,"Learn how to run agents, stream output, and choose the right conversation-state strategy in the OpenAI Agents SDK.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0049,Integrations and observability,https://developers.openai.com/api/docs/guides/agents/integrations-observability,external,developers.openai.com,ok,200,https://developers.openai.com/api/docs/guides/agents/integrations-observability,text/html; charset=utf-8,Integrations and observability | OpenAI API,Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0050,Sandbox Agents,https://developers.openai.com/api/docs/guides/agents/sandboxes,external,developers.openai.com,ok,200,https://developers.openai.com/api/docs/guides/agents/sandboxes,text/html; charset=utf-8,Sandbox Agents | OpenAI API,"Learn how sandboxes fit into Agents SDK workflows, when to use them, and how orchestration stays separate from execution.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0051,Guardrails and human review,https://developers.openai.com/api/docs/guides/agents/guardrails-approvals,external,developers.openai.com,ok,200,https://developers.openai.com/api/docs/guides/agents/guardrails-approvals,text/html; charset=utf-8,Guardrails and human review | OpenAI API,"Learn how to use guardrails and human review in the OpenAI Agents SDK for safer, more controlled workflows.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0052,Building agents with the Claude Agent SDK,https://code.claude.com/docs/en/agent-sdk/overview.md,external,code.claude.com,ok,200,https://code.claude.com/docs/en/agent-sdk/overview.md,text/markdown; charset=utf-8,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0053,How the agent loop works,https://code.claude.com/docs/en/agent-sdk/agent-loop,external,code.claude.com,ok,200,https://code.claude.com/docs/en/agent-sdk/agent-loop,text/html; charset=utf-8,How the agent loop works - Claude Code Docs,"Understand the message lifecycle, tool execution, context window, and architecture that power your SDK agents.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0054,Extend Claude with skills,https://code.claude.com/docs/en/skills,external,code.claude.com,ok,200,https://code.claude.com/docs/en/skills,text/html; charset=utf-8,Extend Claude with skills - Claude Code Docs,"Create, manage, and share skills to extend Claude's capabilities in Claude Code. Includes custom commands and bundled skills.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0055,Create custom subagents,https://code.claude.com/docs/en/sub-agents,external,code.claude.com,ok,200,https://code.claude.com/docs/en/sub-agents,text/html; charset=utf-8,Create custom subagents - Claude Code Docs,Create and use specialized AI subagents in Claude Code for task-specific workflows and improved context management.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0056,GitHub Agentic Workflows,https://github.github.com/gh-aw/,external,github.github.com,ok,200,https://github.github.com/gh-aw/,text/html; charset=utf-8,Home | GitHub Agentic Workflows,Write repository automation workflows in natural language using markdown files and run them as GitHub Actions. Use AI agents with strong guardrails to automate your development workflow.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0057,GitHub Agentic Workflows technical preview,https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/,external,github.blog,ok,200,https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/,text/html; charset=UTF-8,GitHub Agentic Workflows are now in technical preview - GitHub Changelog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon,"GitHub Agentic Workflows let you automate repository tasks using AI agents that run within GitHub Actions. Write workflows in plain Markdown instead of complex YAML, and let AI handle intelligent…",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0058,Continuous AI,https://githubnext.com/projects/continuous-ai/,external,githubnext.com,ok,200,https://githubnext.com/projects/continuous-ai/,text/html; charset=utf-8,Continuous AI,Exploring LLM-powered automation in platform-based software collaboration,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0059,Automate repository tasks with GitHub Agentic Workflows,https://github.blog/ai-and-ml/automate-repository-tasks-with-github-agentic-workflows/,external,github.blog,ok,200,https://github.blog/ai-and-ml/automate-repository-tasks-with-github-agentic-workflows/,text/html; charset=UTF-8,Automate repository tasks with GitHub Agentic Workflows - The GitHub Blog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon,"Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0060,Continuous AI in practice: What developers can automate today with agentic CI,https://github.blog/ai-and-ml/generative-ai/continuous-ai-in-practice-what-developers-can-automate-today-with-agentic-ci/,external,github.blog,ok,200,https://github.blog/ai-and-ml/generative-ai/continuous-ai-in-practice-what-developers-can-automate-today-with-agentic-ci/,text/html; charset=UTF-8,Continuous AI in practice: What developers can automate today with agentic CI - The GitHub Blog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon,Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0061,About GitHub Copilot coding agent,https://docs.github.com/en/copilot/concepts/agents/coding-agent/about-coding-agent,external,docs.github.com,ok,200,https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-cloud-agent,text/html; charset=utf-8,About GitHub Copilot cloud agent - GitHub Docs,"Copilot can research a repository, create an implementation plan, and make code changes on a branch. You can review the diff, iterate, and create a pull request when you're ready.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0062,GitHub Copilot: Meet the new coding agent,https://github.blog/news-insights/product-news/github-copilot-meet-the-new-coding-agent/,external,github.blog,ok,200,https://github.blog/news-insights/product-news/github-copilot-meet-the-new-coding-agent/,text/html; charset=UTF-8,GitHub Copilot: Meet the new coding agent - The GitHub Blog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon,"GitHub Copilot has a new feature: a coding agent that can implement a task or issue, run in the background with GitHub Actions, and more.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0063,Jules,https://jules.google/docs,external,jules.google,ok,200,https://jules.google/docs,text/html,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0064,Cursor cloud agents,https://cursor.com/docs/cloud-agent,external,cursor.com,ok,200,https://cursor.com/docs/cloud-agent,text/html; charset=utf-8,Cloud Agents | Cursor Docs,Run Agent in the cloud for continuous coding assistance.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0065,Devin Docs,https://docs.devin.ai/get-started/devin-intro,external,docs.devin.ai,ok,200,https://docs.devin.ai/get-started/devin-intro,text/html; charset=utf-8,Introducing Devin - Devin Docs,"Devin is the AI software engineer, built to help ambitious engineering teams crush their backlogs.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0066,Writing effective tools for AI agents,https://www.anthropic.com/engineering/writing-tools-for-agents,external,www.anthropic.com,ok,200,https://www.anthropic.com/engineering/writing-tools-for-agents,text/html; charset=utf-8,Writing effective tools for AI agents—using AI agents \ Anthropic,Writing effective tools for AI agents—using AI agents,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0067,Introducing advanced tool use on the Claude Developer Platform,https://www.anthropic.com/engineering/advanced-tool-use?e45d281a_page=3,external,www.anthropic.com,ok,200,https://www.anthropic.com/engineering/advanced-tool-use?e45d281a_page=3,text/html; charset=utf-8,Introducing advanced tool use on the Claude Developer Platform \ Anthropic,"Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0068,Effective harnesses for long-running agents,https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents,external,www.anthropic.com,ok,200,https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents,text/html; charset=utf-8,Effective harnesses for long-running agents \ Anthropic,"Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0069,Claude Code best practices,https://code.claude.com/docs/en/best-practices,external,code.claude.com,ok,200,https://code.claude.com/docs/en/best-practices,text/html; charset=utf-8,Best practices for Claude Code - Claude Code Docs,"Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0070,ReAct: Synergizing Reasoning and Acting in Language Models,https://arxiv.org/abs/2210.03629,external,arxiv.org,ok,200,https://arxiv.org/abs/2210.03629,text/html; charset=utf-8,[2210.03629] ReAct: Synergizing Reasoning and Acting in Language Models open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2210.03629: ReAct: Synergizing Reasoning and Acting in Language Models,,,,,,,,2210.03629,,2026-06-21T15:15:25+00:00 |
| ale-0071,Reflexion: Language Agents with Verbal Reinforcement Learning,https://arxiv.org/abs/2303.11366,external,arxiv.org,ok,200,https://arxiv.org/abs/2303.11366,text/html; charset=utf-8,[2303.11366] Reflexion: Language Agents with Verbal Reinforcement Learning open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2303.11366: Reflexion: Language Agents with Verbal Reinforcement Learning,,,,,,,,2303.11366,,2026-06-21T15:15:25+00:00 |
| ale-0072,Self-Refine: Iterative Refinement with Self-Feedback,https://arxiv.org/abs/2303.17651,external,arxiv.org,ok,200,https://arxiv.org/abs/2303.17651,text/html; charset=utf-8,[2303.17651] Self-Refine: Iterative Refinement with Self-Feedback contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2303.17651: Self-Refine: Iterative Refinement with Self-Feedback,,,,,,,,2303.17651,,2026-06-21T15:15:25+00:00 |
| ale-0073,CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing,https://arxiv.org/abs/2305.11738,external,arxiv.org,ok,200,https://arxiv.org/abs/2305.11738,text/html; charset=utf-8,[2305.11738] CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2305.11738: CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing,,,,,,,,2305.11738,,2026-06-21T15:15:25+00:00 |
| ale-0074,Tree of Thoughts,https://arxiv.org/abs/2305.10601,external,arxiv.org,ok,200,https://arxiv.org/abs/2305.10601,text/html; charset=utf-8,[2305.10601] Tree of Thoughts: Deliberate Problem Solving with Large Language Models open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2305.10601: Tree of Thoughts: Deliberate Problem Solving with Large Language Models,,,,,,,,2305.10601,,2026-06-21T15:15:25+00:00 |
| ale-0075,Graph of Thoughts,https://arxiv.org/abs/2308.09687,external,arxiv.org,ok,200,https://arxiv.org/abs/2308.09687,text/html; charset=utf-8,[2308.09687] Graph of Thoughts: Solving Elaborate Problems with Large Language Models contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2308.09687: Graph of Thoughts: Solving Elaborate Problems with Large Language Models,,,,,,,,2308.09687,,2026-06-21T15:15:25+00:00 |
| ale-0076,Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models,https://arxiv.org/abs/2310.04406,external,arxiv.org,ok,200,https://arxiv.org/abs/2310.04406,text/html; charset=utf-8,[2310.04406] Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2310.04406: Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models,,,,,,,,2310.04406,,2026-06-21T15:15:25+00:00 |
| ale-0077,Voyager: An Open-Ended Embodied Agent with Large Language Models,https://arxiv.org/abs/2305.16291,external,arxiv.org,ok,200,https://arxiv.org/abs/2305.16291,text/html; charset=utf-8,[2305.16291] Voyager: An Open-Ended Embodied Agent with Large Language Models open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2305.16291: Voyager: An Open-Ended Embodied Agent with Large Language Models,,,,,,,,2305.16291,,2026-06-21T15:15:25+00:00 |
| ale-0078,Generative Agents: Interactive Simulacra of Human Behavior,https://arxiv.org/abs/2304.03442,external,arxiv.org,ok,200,https://arxiv.org/abs/2304.03442,text/html; charset=utf-8,[2304.03442] Generative Agents: Interactive Simulacra of Human Behavior open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2304.03442: Generative Agents: Interactive Simulacra of Human Behavior,,,,,,,,2304.03442,,2026-06-21T15:15:25+00:00 |
| ale-0079,Measuring AI Ability to Complete Long Software Tasks,https://arxiv.org/abs/2503.14499,external,arxiv.org,ok,200,https://arxiv.org/abs/2503.14499,text/html; charset=utf-8,[2503.14499] Measuring AI Ability to Complete Long Software Tasks contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2503.14499: Measuring AI Ability to Complete Long Software Tasks,,,,,,,,2503.14499,,2026-06-21T15:15:25+00:00 |
| ale-0080,Measuring AI Ability to Complete Long Tasks,https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/,external,metr.org,ok,200,https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/,text/html; charset=UTF-8,Measuring AI Ability to Complete Long Tasks - METR Substack twitter Bluesky,"We propose measuring AI performance in terms of the *length* of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can independently complete a large fraction of software tasks that currently take humans days or weeks.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0081,Reflection-Driven Control for Trustworthy Code Agents,https://arxiv.org/abs/2512.21354,external,arxiv.org,ok,200,https://arxiv.org/abs/2512.21354,text/html; charset=utf-8,[2512.21354] Reflection-Driven Control for Trustworthy Code Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2512.21354: Reflection-Driven Control for Trustworthy Code Agents,,,,,,,,2512.21354,,2026-06-21T15:15:25+00:00 |
| ale-0082,PARC: An Autonomous Self-Reflective Coding Agent for Robust Execution of Long-Horizon Tasks,https://arxiv.org/abs/2512.03549,external,arxiv.org,ok,200,https://arxiv.org/abs/2512.03549,text/html; charset=utf-8,[2512.03549] PARC: An Autonomous Self-Reflective Coding Agent for Robust Execution of Long-Horizon Tasks contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2512.03549: PARC: An Autonomous Self-Reflective Coding Agent for Robust Execution of Long-Horizon Tasks,,,,,,,,2512.03549,,2026-06-21T15:15:25+00:00 |
| ale-0083,When the Specification Emerges: Benchmarking Faithfulness Loss in Long-Horizon Coding Agents,https://arxiv.org/abs/2603.17104,external,arxiv.org,ok,200,https://arxiv.org/abs/2603.17104,text/html; charset=utf-8,[2603.17104] When the Specification Emerges: Benchmarking Faithfulness Loss in Long-Horizon Coding Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2603.17104: When the Specification Emerges: Benchmarking Faithfulness Loss in Long-Horizon Coding Agents,,,,,,,,2603.17104,,2026-06-21T15:15:25+00:00 |
| ale-0084,Reflexion code,https://github.com/noahshinn/reflexion,external,github.com,ok,200,https://github.com/noahshinn/reflexion,text/html; charset=utf-8,GitHub - noahshinn/reflexion: [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning · GitHub,[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning - noahshinn/reflexion,noahshinn/reflexion,3186,308,22,[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning,MIT,2026-06-21T05:31:10Z,,,2026-06-21T15:15:25+00:00 |
| ale-0085,Building Effective Agents,https://www.anthropic.com/engineering/building-effective-agents,external,www.anthropic.com,ok,200,https://www.anthropic.com/engineering/building-effective-agents,text/html; charset=utf-8,Building Effective AI Agents \ Anthropic,"Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0086,How we built our multi-agent research system,https://www.anthropic.com/engineering/multi-agent-research-system,external,www.anthropic.com,ok,200,https://www.anthropic.com/engineering/multi-agent-research-system,text/html; charset=utf-8,How we built our multi-agent research system \ Anthropic,On the the engineering challenges and lessons learned from building Claude's Research system,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0087,Building Effective AI Agents: Architecture Patterns and Implementation Frameworks,https://resources.anthropic.com/hubfs/Building%20Effective%20AI%20Agents-%20Architecture%20Patterns%20and%20Implementation%20Frameworks.pdf,external,resources.anthropic.com,ok,200,https://resources.anthropic.com/hubfs/Building%20Effective%20AI%20Agents-%20Architecture%20Patterns%20and%20Implementation%20Frameworks.pdf,application/pdf,,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0088,AI Agent Architectures,https://hld.handbook.academy/curriculum/ai-ml-system-design/ai-agent-architectures/,external,hld.handbook.academy,ok,200,https://hld.handbook.academy/curriculum/ai-ml-system-design/ai-agent-architectures/,text/html; charset=utf-8,"AI Agent Architectures (ReAct, Reflection, Planning, Tool Use, Memory) - The HLD Handbook","The canonical patterns for turning an LLM into an agent: ReAct's think-act-observe loop, reflection and self-critique, planner-executor decomposition, tool use and function calling, and how agents manage short- and long-term memory.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0089,What Are Agentic Workflows?,https://weaviate.io/blog/what-are-agentic-workflows,external,weaviate.io,ok,200,https://weaviate.io/blog/what-are-agentic-workflows,text/html; charset=UTF-8,"What Are Agentic Workflows? Patterns, Memory, Use Cases, and Examples | Weaviate","Agentic workflows combine AI agents, tools, and agent memory to create adaptive systems. Learn the core patterns, use cases, and real-world examples.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0090,Agent Planning & Reflection Patterns,https://learnaivisually.com/tracks/ai-agents/planning-reflection,external,learnaivisually.com,ok,200,https://learnaivisually.com/tracks/ai-agents/planning-reflection,text/html; charset=utf-8,Agent Planning & Reflection Patterns | Learn AI Visually,"When agents should plan, retry, pause, or stop. Reasoning budget, ReAct, Reflexion, and termination logic — each tied to a 'when' decision.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0091,Agentic Design Patterns,https://addyosmani.com/agents/04-agentic-design-patterns/,external,addyosmani.com,ok,200,https://addyosmani.com/agents/04-agentic-design-patterns/,text/html; charset=UTF-8,AddyOsmani.com - Lesson 4: agentic design patterns,"Addy Osmani is an engineering and evangelism leader who spent over 14 years at Google leading developer experience across Chrome and, in recent years, AI (Gemini, coding agents, and agentic engineering), most recently as a Director at Google Cloud AI.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0092,12 Factor Agents,https://github.com/humanlayer/12-factor-agents,external,github.com,ok,200,https://github.com/humanlayer/12-factor-agents,text/html; charset=utf-8,GitHub - humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? · GitHub,What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents,humanlayer/12-factor-agents,23445,1794,28,What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?,NOASSERTION,2026-06-21T15:08:15Z,,,2026-06-21T15:15:25+00:00 |
| ale-0093,Durable Execution for Agentic Workflows,https://arizenai.com/durable-execution/,external,arizenai.com,ok,200,https://arizenai.com/durable-execution/,text/html; charset=utf-8,Durable Execution for Agentic Workflows | Arizen,A while loop is at-most-once across process boundaries. Production agents need exactly-once. The architecture must encode the guarantee.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0094,Code as Agent Harness,https://arxiv.org/abs/2605.18747,external,arxiv.org,ok,200,https://arxiv.org/abs/2605.18747,text/html; charset=utf-8,[2605.18747] Code as Agent Harness contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2605.18747: Code as Agent Harness,,,,,,,,2605.18747,,2026-06-21T15:15:25+00:00 |
| ale-0095,Agentic Agile-V: From Vibe Coding to Verified Engineering,https://arxiv.org/abs/2605.20456,external,arxiv.org,ok,200,https://arxiv.org/abs/2605.20456,text/html; charset=utf-8,[2605.20456] Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2605.20456: Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development,,,,,,,,2605.20456,,2026-06-21T15:15:25+00:00 |
| ale-0096,"Harness Engineering for Language Agents: The Harness Layer as Control, Agency, and Runtime",https://www.preprints.org/manuscript/202603.1756,external,www.preprints.org,restricted,403,https://www.preprints.org/manuscript/202603.1756,text/html,,,,,,,,,,,restricted_or_rate_limited,2026-06-21T15:15:25+00:00 |
| ale-0097,SWE-agent,https://github.com/SWE-agent/SWE-agent,external,github.com,ok,200,https://github.com/SWE-agent/SWE-agent,text/html; charset=utf-8,"GitHub - SWE-agent/SWE-agent: SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024] · GitHub","SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024] - GitHub - SWE-agent/SWE-agent: SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]",SWE-agent/SWE-agent,19579,2139,23,"SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]",MIT,2026-06-21T14:54:29Z,,,2026-06-21T15:15:25+00:00 |
| ale-0098,SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering,https://arxiv.org/abs/2405.15793,external,arxiv.org,ok,200,https://arxiv.org/abs/2405.15793,text/html; charset=utf-8,[2405.15793] SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2405.15793: SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering,,,,,,,,2405.15793,,2026-06-21T15:15:25+00:00 |
| ale-0099,mini-SWE-agent,https://mini-swe-agent.com/latest/,external,mini-swe-agent.com,ok,200,https://mini-swe-agent.com/latest/,text/html; charset=utf-8,Overview - mini-SWE-agent documentation,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0100,OpenHands,https://github.com/All-Hands-AI/OpenHands,external,github.com,ok,200,https://github.com/OpenHands/OpenHands,text/html; charset=utf-8,GitHub - OpenHands/OpenHands: 🙌 OpenHands: AI-Driven Development · GitHub,🙌 OpenHands: AI-Driven Development. Contribute to OpenHands/OpenHands development by creating an account on GitHub.,All-Hands-AI/OpenHands,77898,9906,332,🙌 OpenHands: AI-Driven Development,NOASSERTION,2026-06-21T15:12:45Z,,,2026-06-21T15:15:25+00:00 |
| ale-0101,OpenHands: An Open Platform for AI Software Developers as Generalist Agents,https://arxiv.org/abs/2407.16741,external,arxiv.org,ok,200,https://arxiv.org/abs/2407.16741,text/html; charset=utf-8,[2407.16741] OpenHands: An Open Platform for AI Software Developers as Generalist Agents open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2407.16741: OpenHands: An Open Platform for AI Software Developers as Generalist Agents,,,,,,,,2407.16741,,2026-06-21T15:15:25+00:00 |
| ale-0102,Agentless,https://github.com/OpenAutoCoder/Agentless,external,github.com,ok,200,https://github.com/OpenAutoCoder/Agentless,text/html; charset=utf-8,GitHub - OpenAutoCoder/Agentless: Agentless🐱: an agentless approach to automatically solve software development problems · GitHub,Agentless🐱: an agentless approach to automatically solve software development problems - OpenAutoCoder/Agentless,OpenAutoCoder/Agentless,2072,234,53,Agentless🐱: an agentless approach to automatically solve software development problems,MIT,2026-06-20T17:08:28Z,,,2026-06-21T15:15:25+00:00 |
| ale-0103,Agentless: Demystifying LLM-based Software Engineering Agents,https://arxiv.org/abs/2407.01489,external,arxiv.org,ok,200,https://arxiv.org/abs/2407.01489,text/html; charset=utf-8,[2407.01489] Agentless: Demystifying LLM-based Software Engineering Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2407.01489: Agentless: Demystifying LLM-based Software Engineering Agents,,,,,,,,2407.01489,,2026-06-21T15:15:25+00:00 |
| ale-0104,AutoCodeRover,https://github.com/AutoCodeRoverSG/auto-code-rover,external,github.com,ok,200,https://github.com/AutoCodeRoverSG/auto-code-rover,text/html; charset=utf-8,GitHub - AutoCodeRoverSG/auto-code-rover: A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7. · GitHub,A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7. - AutoCodeRoverSG/auto-code-rover,AutoCodeRoverSG/auto-code-rover,3086,330,20,A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7.,NOASSERTION,2026-06-21T12:08:43Z,,,2026-06-21T15:15:25+00:00 |
| ale-0105,AutoCodeRover: Autonomous Program Improvement,https://arxiv.org/abs/2404.05427,external,arxiv.org,ok,200,https://arxiv.org/abs/2404.05427,text/html; charset=utf-8,[2404.05427] AutoCodeRover: Autonomous Program Improvement open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2404.05427: AutoCodeRover: Autonomous Program Improvement,,,,,,,,2404.05427,,2026-06-21T15:15:25+00:00 |
| ale-0106,Ralph,https://ghuntley.com/ralph/,external,ghuntley.com,ok,200,https://ghuntley.com/ralph/,text/html; charset=utf-8,"Ralph Wiggum as a ""software engineer""","How Ralph Wiggum went from 'The Simpsons' to the biggest name in AI right now - Venture Beat 😎Here's a cool little field report from a Y Combinator hackathon event where they put Ralph Wiggum to the test. ""We Put a Coding Agent in a While Loop and It Shipped",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0107,everything is a ralph loop,https://ghuntley.com/loop/,external,ghuntley.com,ok,200,https://ghuntley.com/loop/,text/html; charset=utf-8,everything is a ralph loop,"I’ve been thinking about how I build software is so very very different how I used to do it three years ago. No, I’m not talking about acceleration through usage of AI but instead at a more fundamental level of approach, techniques and best practices. Standard software practices",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0108,how-to-ralph-wiggum,https://github.com/ghuntley/how-to-ralph-wiggum,external,github.com,ok,200,https://github.com/ghuntley/how-to-ralph-wiggum,text/html; charset=utf-8,GitHub - ghuntley/how-to-ralph-wiggum: The Ralph Wiggum Technique—the AI development methodology that reduces software costs to less than a fast food worker's wage. · GitHub,The Ralph Wiggum Technique—the AI development methodology that reduces software costs to less than a fast food worker's wage. - ghuntley/how-to-ralph-wiggum,ghuntley/how-to-ralph-wiggum,1699,144,1,The Ralph Wiggum Technique—the AI development methodology that reduces software costs to less than a fast food worker's wage.,,2026-06-21T10:30:16Z,,,2026-06-21T15:15:25+00:00 |
| ale-0109,A Brief History of Ralph,https://www.humanlayer.dev/blog/brief-history-of-ralph,external,www.humanlayer.dev,ok,200,https://www.humanlayer.dev/blog/brief-history-of-ralph,text/html; charset=utf-8,A Brief History of Ralph | HumanLayer Blog,The Ralph Wiggum Technique went viral in the last week of 2025. Here's the story of ralph since the first time I met Geoff in June of 2025.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0110,Ralph Copilot,https://github.com/giocaizzi/ralph-copilot/tree/e5b2813cc876c73a8c9d3398c0115da0d15f63cf,external,github.com,ok,200,https://github.com/giocaizzi/ralph-copilot/tree/e5b2813cc876c73a8c9d3398c0115da0d15f63cf,text/html; charset=utf-8,GitHub - giocaizzi/ralph-copilot at e5b2813cc876c73a8c9d3398c0115da0d15f63cf · GitHub,Copilot implementation of Ralph loop. Contribute to giocaizzi/ralph-copilot development by creating an account on GitHub.,giocaizzi/ralph-copilot,134,14,0,Copilot implementation of Ralph loop,,2026-06-16T17:56:48Z,,,2026-06-21T15:15:25+00:00 |
| ale-0111,Compound Engineering,https://every.to/guides/compound-engineering,external,every.to,ok,200,https://every.to/guides/compound-engineering,text/html; charset=utf-8,Compound Engineering - Every,The AI-native engineering philosophy,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0112,Gas Town,https://github.com/steveyegge/gastown,external,github.com,ok,200,https://github.com/gastownhall/gastown,text/html; charset=utf-8,GitHub - gastownhall/gastown: Gas Town - multi-agent workspace manager · GitHub,Gas Town - multi-agent workspace manager. Contribute to gastownhall/gastown development by creating an account on GitHub.,steveyegge/gastown,16000,1492,246,Gas Town - multi-agent workspace manager,MIT,2026-06-21T14:16:41Z,,,2026-06-21T15:15:25+00:00 |
| ale-0113,Amp,https://ampcode.com/,external,ampcode.com,ok,200,https://ampcode.com/,text/html,Amp,Amp is a frontier coding agent that lets you wield the full power of leading models.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0114,karl,https://github.com/kayoslab/karl,external,github.com,ok,200,https://github.com/kayoslab/karl,text/html; charset=utf-8,GitHub - kayoslab/karl: Autonomous multi-agent development loop · GitHub,Autonomous multi-agent development loop. Contribute to kayoslab/karl development by creating an account on GitHub.,kayoslab/karl,0,0,0,Autonomous multi-agent development loop,MIT,2026-04-08T07:56:55Z,,,2026-06-21T15:15:25+00:00 |
| ale-0115,joelclaw agent-loop skill,https://github.com/joelhooks/joelclaw/blob/main/skills/agent-loop/SKILL.md,external,github.com,ok,200,https://github.com/joelhooks/joelclaw/blob/main/skills/agent-loop/SKILL.md,text/html; charset=utf-8,joelclaw/skills/agent-loop/SKILL.md at main · joelhooks/joelclaw · GitHub,"Personal AI operating system — blog, architecture decisions, and the journey from zero to a composable agent system. - joelclaw/skills/agent-loop/SKILL.md at main · joelhooks/joelclaw",joelhooks/joelclaw,58,3,13,"Personal AI operating system — blog, architecture decisions, and the journey from zero to a composable agent system.",,2026-06-17T20:31:24Z,,,2026-06-21T15:15:25+00:00 |
| ale-0116,SWE-bench reading list,https://github.com/SWE-bench/reading-list,external,github.com,ok,200,https://github.com/SWE-bench/reading-list,text/html; charset=utf-8,GitHub - SWE-bench/reading-list: Academic papers and works related to SWE-bench and SWE-agents · GitHub,Academic papers and works related to SWE-bench and SWE-agents - SWE-bench/reading-list,SWE-bench/reading-list,11,4,0,Academic papers and works related to SWE-bench and SWE-agents,,2026-03-30T04:39:41Z,,,2026-06-21T15:15:25+00:00 |
| ale-0117,TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code,https://arxiv.org/abs/2602.06875,external,arxiv.org,ok,200,https://arxiv.org/abs/2602.06875,text/html; charset=utf-8,[2602.06875] TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2602.06875: TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code,,,,,,,,2602.06875,,2026-06-21T15:15:25+00:00 |
| ale-0118,The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase,https://arxiv.org/abs/2603.25697,external,arxiv.org,ok,200,https://arxiv.org/abs/2603.25697,text/html; charset=utf-8,[2603.25697] The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2603.25697: The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase,,,,,,,,2603.25697,,2026-06-21T15:15:25+00:00 |
| ale-0119,Why Agentic Systems Must Produce Deterministic Outputs to Scale,https://streamzero.com/blog/posts/deep-dives-tools-technologies-architectures/agentic-patterns/why-agentic-systems-must-produce-deterministic-outputs-to-scale,external,streamzero.com,ok,200,https://streamzero.com/blog/posts/deep-dives-tools-technologies-architectures/agentic-patterns/why-agentic-systems-must-produce-deterministic-outputs-to-scale,text/html; charset=UTF-8,Why Agentic Systems Must Produce Deterministic Outputs to Scale,"Agentic systems are gaining traction, but their inherent non-determinism poses a significant challenge for production environments. This document argues that deterministic outputs are essential for scaling agentic systems, enabling validation, security, and compliance in critical applications.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0120,Stop Babysitting Your Coding Agent. Give It Backpressure.,https://generativeprogrammer.com/p/stop-babysitting-your-coding-agent,external,generativeprogrammer.com,ok,200,https://generativeprogrammer.com/p/stop-babysitting-your-coding-agent,text/html; charset=utf-8,Stop Babysitting Your Coding Agent. Give It Backpressure.,Backpressure is feedback that reaches the agent before the agent reaches the human.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0121,How to Build a Self-Verification Loop in Claude Code,https://dev.to/shipwithaiio/how-to-build-a-self-verification-loop-in-claude-code-3-layers-20-minutes-m1p,external,dev.to,ok,200,https://dev.to/shipwithaiio/how-to-build-a-self-verification-loop-in-claude-code-3-layers-20-minutes-m1p,text/html; charset=utf-8,"How to Build a Self-Verification Loop in Claude Code (3 Layers, 20 Minutes) - DEV Community Navigation menu Search Search Close More... Copy link Enter fullscreen mode Exit fullscreen mode Enter fullscreen mode Exit fullscreen mode Enter fullscreen mode Exit fullscreen mode Enter fullscreen mode Exit fullscreen mode Enter fullscreen mode Exit fullscreen mode Enter fullscreen mode Exit fullscreen mode","Claude Code's Stop hook blocks the agent from finishing until verification passes. Combine it with... Tagged with ai, programming, productivity, claude.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0122,How to build a better agent harness with traces and evals,https://arize.com/blog/improve-ai-agents-traces-evals-harness/,external,arize.com,ok,200,https://arize.com/blog/improve-ai-agents-traces-evals-harness/,text/html; charset=UTF-8,How to build a better agent harness with traces and evals - Arize AI,"Agents are easy to prototype and hard to improve. A repeatable loop of traces, evals, failed-span inspection, and targeted harness changes makes agent behavior easier to debug and improve.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0123,Better Harness: A Recipe for Harness Hill-Climbing with Evals,https://www.langchain.com/blog/better-harness-a-recipe-for-harness-hill-climbing-with-evals,external,www.langchain.com,ok,200,https://www.langchain.com/blog/better-harness-a-recipe-for-harness-hill-climbing-with-evals,text/html; charset=utf-8,Better Harness: A Recipe for Harness Hill-Climbing with Evals,"We can build better agents by building better harnesses. But to autonomously build a “better” harness, we need a strong learning signal to “hill-climb” on. We share how we use evals as that signal, plus design decisions that help our agent generalize instead of overfit. Better-Harness is a system for iteratively sourcing and improving your harness with evals.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0124,Improving Deep Agents with harness engineering,https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering,external,www.langchain.com,ok,200,https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering,text/html; charset=utf-8,Improving Deep Agents with harness engineering,"Harness engineering improved LangChain's coding agent from Top 30 to Top 5 on Terminal Bench using self-verification, tracing, and context optimization.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0125,OpenAI agent evals,https://developers.openai.com/api/docs/guides/agent-evals,external,developers.openai.com,ok,200,https://developers.openai.com/api/docs/guides/agent-evals,text/html; charset=utf-8,Evaluate agent workflows | OpenAI API,"Learn how to evaluate agent workflows with traces, graders, datasets, and evaluation runs on the OpenAI platform.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0126,Promptfoo OpenAI Agents provider,https://www.promptfoo.dev/docs/providers/openai-agents/,external,www.promptfoo.dev,ok,200,https://www.promptfoo.dev/docs/providers/openai-agents/,text/html; charset=utf-8,OpenAI Agents | Promptfoo,"Test OpenAI Agents with tools, handoffs, sessions, sandbox workflows, and tracing in promptfoo.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0127,Inspect AI,https://github.com/UKGovernmentBEIS/inspect_ai,external,github.com,ok,200,https://github.com/UKGovernmentBEIS/inspect_ai,text/html; charset=utf-8,GitHub - UKGovernmentBEIS/inspect_ai: Inspect: A framework for large language model evaluations · GitHub,Inspect: A framework for large language model evaluations - UKGovernmentBEIS/inspect_ai,UKGovernmentBEIS/inspect_ai,2228,567,229,Inspect: A framework for large language model evaluations,MIT,2026-06-21T12:40:22Z,,,2026-06-21T15:15:25+00:00 |
| ale-0128,OpenTelemetry Semantic Conventions for Generative AI Systems,https://opentelemetry.io/docs/specs/semconv/gen-ai/,external,opentelemetry.io,ok,200,https://opentelemetry.io/docs/specs/semconv/gen-ai/,text/html; charset=UTF-8,Moved: Generative AI semantic conventions | OpenTelemetry The OpenTelemetry Logo,Important GenAI semantic conventions have moved to the OpenTelemetry GenAI semantic conventions repository. This page has moved and is no longer maintained in this repository.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0129,AgentOps,https://github.com/AgentOps-AI/agentops,external,github.com,ok,200,https://github.com/AgentOps-AI/agentops,text/html; charset=utf-8,"GitHub - AgentOps-AI/agentops: Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI · GitHub","Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI - AgentOps-AI/agentops",AgentOps-AI/agentops,5645,598,166,"Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI",MIT,2026-06-21T13:12:19Z,,,2026-06-21T15:15:25+00:00 |
| ale-0130,Langfuse,https://github.com/langfuse/langfuse,external,github.com,ok,200,https://github.com/langfuse/langfuse,text/html; charset=utf-8,"GitHub - langfuse/langfuse: 🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23 · GitHub","🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23 - GitHub - langfuse/langfuse: 🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23",langfuse/langfuse,29466,3064,656,"🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23",NOASSERTION,2026-06-21T14:50:01Z,,,2026-06-21T15:15:25+00:00 |
| ale-0131,LangSmith,https://www.langchain.com/langsmith,external,www.langchain.com,ok,200,https://www.langchain.com/langsmith/observability,text/html; charset=utf-8,LangSmith: AI Agent & LLM Observability Platform,"Complete AI agent and LLM observability platform with tracing and real-time monitoring. Debug agents, find failures fast, and track costs and latency.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0132,Arize Phoenix,https://github.com/Arize-ai/phoenix,external,github.com,ok,200,https://github.com/Arize-ai/phoenix,text/html; charset=utf-8,GitHub - Arize-ai/phoenix: AI Observability & Evaluation · GitHub,AI Observability & Evaluation. Contribute to Arize-ai/phoenix development by creating an account on GitHub.,Arize-ai/phoenix,10221,939,615,AI Observability & Evaluation,NOASSERTION,2026-06-21T14:37:11Z,,,2026-06-21T15:15:25+00:00 |
| ale-0133,Braintrust,https://www.braintrust.dev/,external,www.braintrust.dev,ok,200,https://www.braintrust.dev/,text/html; charset=utf-8,Braintrust - The AI observability platform for building quality AI products,"Ship quality AI at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0134,Weave,https://docs.wandb.ai/weave,external,docs.wandb.ai,ok,200,https://docs.wandb.ai/weave,text/html; charset=utf-8,W&B Weave - Weights & Biases Documentation,"Track, test, and improve language model apps with W&B Weave",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0135,Agentic Verification of Software Systems,https://arxiv.org/abs/2511.17330,external,arxiv.org,ok,200,https://arxiv.org/abs/2511.17330,text/html; charset=utf-8,[2511.17330] Agentic Verification of Software Systems contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2511.17330: Agentic Verification of Software Systems,,,,,,,,2511.17330,,2026-06-21T15:15:25+00:00 |
| ale-0136,Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses,https://arxiv.org/abs/2604.25850,external,arxiv.org,ok,200,https://arxiv.org/abs/2604.25850,text/html; charset=utf-8,[2604.25850] Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2604.25850: Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses,,,,,,,,2604.25850,,2026-06-21T15:15:25+00:00 |
| ale-0137,The lethal trifecta for AI agents,https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/,external,simonwillison.net,ok,200,https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/,text/html; charset=utf-8,"The lethal trifecta for AI agents: private data, untrusted content, and external communication",If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0138,Prompt injection series,https://simonwillison.net/series/prompt-injection/,external,simonwillison.net,ok,200,https://simonwillison.net/series/prompt-injection/,text/html; charset=utf-8,Simon Willison: Prompt injection,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0139,Agentic AI - Threats and Mitigations,https://genai.owasp.org/resource/agentic-ai-threats-and-mitigations/,external,genai.owasp.org,ok,200,https://genai.owasp.org/resource/agentic-ai-threats-and-mitigations/,text/html; charset=UTF-8,Agentic AI - OWASP Lists Threats and Mitigations,"Explore key threats and mitigation strategies for agentic AI, focusing on security measures to address vulnerabilities in AI applications and their potential risks.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0140,Designing AI agents to resist prompt injection,https://openai.com/index/designing-agents-to-resist-prompt-injection/,external,openai.com,restricted,403,https://openai.com/index/designing-agents-to-resist-prompt-injection/,text/html; charset=UTF-8,,,,,,,,,,,restricted_or_rate_limited,2026-06-21T15:15:25+00:00 |
| ale-0141,sandbox-runtime,https://github.com/anthropic-experimental/sandbox-runtime,external,github.com,ok,200,https://github.com/anthropic-experimental/sandbox-runtime,text/html; charset=utf-8,"GitHub - anthropic-experimental/sandbox-runtime: A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container. · GitHub","A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container. - anthropic-experimental/sandbox-runtime",anthropic-experimental/sandbox-runtime,4461,329,122,"A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container.",Apache-2.0,2026-06-21T00:29:54Z,,,2026-06-21T15:15:25+00:00 |
| ale-0142,E2B,https://github.com/e2b-dev/E2B,external,github.com,ok,200,https://github.com/e2b-dev/E2B,text/html; charset=utf-8,"GitHub - e2b-dev/E2B: Open-source, secure environment with real-world tools for enterprise-grade agents. · GitHub","Open-source, secure environment with real-world tools for enterprise-grade agents. - e2b-dev/E2B",e2b-dev/E2B,12661,937,49,"Open-source, secure environment with real-world tools for enterprise-grade agents.",Apache-2.0,2026-06-21T07:53:31Z,,,2026-06-21T15:15:25+00:00 |
| ale-0143,Modal Sandboxes,https://modal.com/docs/guide/sandboxes,external,modal.com,ok,200,https://modal.com/docs/guide/sandboxes,text/html,Sandboxes | Modal Docs,"This page is a high-level guide to Sandboxes, secure containers for executing untrusted user or agent code on Modal.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0144,Daytona,https://www.daytona.io/,external,www.daytona.io,ok,200,https://www.daytona.io/,text/html,Daytona - Secure Infrastructure for Running AI-Generated Code,"Deploy Al code with confidence using Daytona's lightning-fast infrastructure. 90ms environment creation, stateful operations, and enterprise-grade security.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0145,Effective Context Engineering for AI Agents,https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents,external,www.anthropic.com,ok,200,https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents,text/html; charset=utf-8,Effective context engineering for AI agents \ Anthropic,"Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0146,Agent Harnesses: the Infrastructure Layer Your LLM Agent Actually Needs,https://ninadpathak.com/blog/agent-harnesses/,external,ninadpathak.com,ok,200,https://ninadpathak.com/blog/agent-harnesses/,text/html; charset=utf-8,Agent Harnesses: the Infrastructure Layer Your Llm Agent Actually Needs | Ninad Pathak,"Every production AI agent needs a harness. Here is what one contains, why frameworks often are not enough, and how to build the layer that actually determines reliability.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0147,The Agent Loop Is the New OS,https://www.harness.io/blog/agent-loop-new-os,external,www.harness.io,ok,200,https://www.harness.io/blog/agent-loop-new-os,text/html; charset=utf-8,The Agent Loop Is the New OS | Harness Blog | Harness Share in X Share in Facebook Share in LinkedIn Search in ChatGpt Github icon LinkedIn icon Facebook icon Instagram icon Twitter icon,"The Harness MCP server treats the AI agent loop as an operating system, mapping the LLM to the CPU and the Context Window to RAM. Learn how this design uses 10 generic, composable tools to abstract complexity and keep the context window clean for higher-quality, cost-efficient AI agent reasoning. | Blog",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0148,Harness engineering for coding agent users,https://martinfowler.com/articles/harness-engineering.html,external,martinfowler.com,ok,200,https://martinfowler.com/articles/harness-engineering.html,text/html,Harness engineering for coding agent users,"A mental model for building trust in coding agents through feedforward guides, feedback sensors, and iterative harness engineering.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0149,Context Engineering,https://simonwillison.net/2025/Jun/27/context-engineering/,external,simonwillison.net,ok,200,https://simonwillison.net/2025/Jun/27/context-engineering/,text/html; charset=utf-8,Context engineering,The term context engineering has recently started to gain traction as a better alternative to prompt engineering. I like it. I think this one may have sticking power. Here's an …,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0150,Agentic Coding in 2026,https://sourcegraph.com/blog/agentic-coding,external,sourcegraph.com,ok,200,https://sourcegraph.com/blog/agentic-coding,text/html,Agentic Coding in 2026: A Practical Guide for Big Code | Sourcegraph,"Learn what agentic coding is, how AI coding agents work in real engineering orgs, and how to give them the codebase context they need to ship safely.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0151,Agentic AI State Management with ScyllaDB and LangGraph,https://www.scylladb.com/2026/04/08/agentic-ai-state-management-with-scylladb-and-langgraph/,external,www.scylladb.com,ok,200,https://www.scylladb.com/2026/04/08/agentic-ai-state-management-with-scylladb-and-langgraph/,text/html; charset=UTF-8,Agentic AI State Management with ScyllaDB and LangGraph - ScyllaDB,"How to combine LangGraph and ScyllaDB for durable state management, crash recovery, and a highly available backend for your agentic AI applications.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0152,Mem0,https://github.com/mem0ai/mem0,external,github.com,ok,200,https://github.com/mem0ai/mem0,text/html; charset=utf-8,GitHub - mem0ai/mem0: Universal memory layer for AI Agents · GitHub,Universal memory layer for AI Agents. Contribute to mem0ai/mem0 development by creating an account on GitHub.,mem0ai/mem0,59034,6814,391,Universal memory layer for AI Agents,Apache-2.0,2026-06-21T15:11:25Z,,,2026-06-21T15:15:25+00:00 |
| ale-0153,Letta,https://github.com/letta-ai/letta,external,github.com,ok,200,https://github.com/letta-ai/letta,text/html; charset=utf-8,GitHub - letta-ai/letta: Platform for stateful agents: AI with advanced memory that can learn and self-improve over time. · GitHub,Platform for stateful agents: AI with advanced memory that can learn and self-improve over time. - letta-ai/letta,letta-ai/letta,23446,2493,66,Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.,Apache-2.0,2026-06-21T14:48:02Z,,,2026-06-21T15:15:25+00:00 |
| ale-0154,Zep,https://github.com/getzep/zep,external,github.com,ok,200,https://github.com/getzep/zep,text/html; charset=utf-8,"GitHub - getzep/zep: Zep | Examples, Integrations, & More · GitHub","Zep | Examples, Integrations, & More. Contribute to getzep/zep development by creating an account on GitHub.",getzep/zep,4684,635,9,"Zep | Examples, Integrations, & More",Apache-2.0,2026-06-20T12:35:09Z,,,2026-06-21T15:15:25+00:00 |
| ale-0155,LangMem,https://github.com/langchain-ai/langmem,external,github.com,ok,200,https://github.com/langchain-ai/langmem,text/html; charset=utf-8,GitHub - langchain-ai/langmem · GitHub,Contribute to langchain-ai/langmem development by creating an account on GitHub.,langchain-ai/langmem,1513,172,56,,MIT,2026-06-21T09:48:56Z,,,2026-06-21T15:15:25+00:00 |
| ale-0156,Beads,https://github.com/steveyegge/beads,external,github.com,ok,200,https://github.com/gastownhall/beads,text/html; charset=utf-8,GitHub - gastownhall/beads: Beads - A memory upgrade for your coding agent · GitHub,Beads - A memory upgrade for your coding agent. Contribute to gastownhall/beads development by creating an account on GitHub.,steveyegge/beads,24662,1651,468,Beads - A memory upgrade for your coding agent,MIT,2026-06-21T15:03:52Z,,,2026-06-21T15:15:25+00:00 |
| ale-0157,ARC: Active and Reflection-driven Context Management for Long-Horizon Agents,https://arxiv.org/abs/2601.12030,external,arxiv.org,ok,200,https://arxiv.org/abs/2601.12030,text/html; charset=utf-8,[2601.12030] ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2601.12030: ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents,,,,,,,,2601.12030,,2026-06-21T15:15:25+00:00 |
| ale-0158,"Memory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers",https://arxiv.org/abs/2603.07670,external,arxiv.org,ok,200,https://arxiv.org/abs/2603.07670,text/html; charset=utf-8,"[2603.07670] Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers contact arXiv subscribe to arXiv mailings","Abstract page for arXiv paper 2603.07670: Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers",,,,,,,,2603.07670,,2026-06-21T15:15:25+00:00 |
| ale-0159,"Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering",https://arxiv.org/abs/2604.08224,external,arxiv.org,ok,200,https://arxiv.org/abs/2604.08224,text/html; charset=utf-8,"[2604.08224] Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering contact arXiv subscribe to arXiv mailings","Abstract page for arXiv paper 2604.08224: Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering",,,,,,,,2604.08224,,2026-06-21T15:15:25+00:00 |
| ale-0160,AutoGen,https://github.com/microsoft/autogen,external,github.com,ok,200,https://github.com/microsoft/autogen,text/html; charset=utf-8,GitHub - microsoft/autogen: A programming framework for agentic AI · GitHub,A programming framework for agentic AI. Contribute to microsoft/autogen development by creating an account on GitHub.,microsoft/autogen,59106,8918,911,A programming framework for agentic AI,CC-BY-4.0,2026-06-21T15:14:11Z,,,2026-06-21T15:15:25+00:00 |
| ale-0161,Microsoft Agent Framework,https://github.com/microsoft/agent-framework,external,github.com,ok,200,https://github.com/microsoft/agent-framework,text/html; charset=utf-8,"GitHub - microsoft/agent-framework: A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. · GitHub","A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. - microsoft/agent-framework",microsoft/agent-framework,11517,1943,680,"A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.",MIT,2026-06-21T15:05:56Z,,,2026-06-21T15:15:25+00:00 |
| ale-0162,LangGraph,https://github.com/langchain-ai/langgraph,external,github.com,ok,200,https://github.com/langchain-ai/langgraph,text/html; charset=utf-8,GitHub - langchain-ai/langgraph: Build resilient agents. · GitHub,Build resilient agents. Contribute to langchain-ai/langgraph development by creating an account on GitHub.,langchain-ai/langgraph,35352,5930,589,Build resilient agents.,MIT,2026-06-21T15:10:23Z,,,2026-06-21T15:15:25+00:00 |
| ale-0163,CrewAI,https://github.com/crewAIInc/crewAI,external,github.com,ok,200,https://github.com/crewAIInc/crewAI,text/html; charset=utf-8,"GitHub - crewAIInc/crewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. · GitHub","Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. - crewAIInc/crewAI",crewAIInc/crewAI,54078,7572,517,"Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.",MIT,2026-06-21T15:12:08Z,,,2026-06-21T15:15:25+00:00 |
| ale-0164,LlamaIndex Workflows,https://developers.llamaindex.ai/python/llamaagents/workflows/,external,developers.llamaindex.ai,ok,200,https://developers.llamaindex.ai/python/llamaagents/workflows/,text/html; charset=utf-8,Introduction | Developer Documentation,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0165,OpenAI Agents SDK handoffs,https://openai.github.io/openai-agents-python/handoffs/,external,openai.github.io,ok,200,https://openai.github.io/openai-agents-python/handoffs/,text/html; charset=utf-8,Handoffs - OpenAI Agents SDK,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0166,Agent Protocol,https://agentprotocol.ai/,external,agentprotocol.ai,ok,200,https://agentprotocol.ai/,text/html; charset=UTF-8,Home - AgentProtocol.ai Toggle Menu,"The Agent Protocol is an open API specification that enables seamless communication with AI agents regardless of framework, language, or platform. Built for",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0167,AgentKit,https://github.com/inngest/agent-kit,external,github.com,ok,200,https://github.com/inngest/agent-kit,text/html; charset=utf-8,GitHub - inngest/agent-kit: AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP. · GitHub,AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP. - inngest/agent-kit,inngest/agent-kit,897,132,45,AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.,Apache-2.0,2026-06-21T07:18:08Z,,,2026-06-21T15:15:25+00:00 |
| ale-0168,deepagents,https://github.com/langchain-ai/deepagents,external,github.com,ok,200,https://github.com/langchain-ai/deepagents,text/html; charset=utf-8,GitHub - langchain-ai/deepagents: The batteries-included agent harness. · GitHub,The batteries-included agent harness. Contribute to langchain-ai/deepagents development by creating an account on GitHub.,langchain-ai/deepagents,24907,3510,129,The batteries-included agent harness.,MIT,2026-06-21T15:11:35Z,,,2026-06-21T15:15:25+00:00 |
| ale-0169,Temporal for AI,https://temporal.io/solutions/ai,external,temporal.io,ok,200,https://temporal.io/solutions/ai,text/html; charset=utf-8,Temporal for AI | Temporal,"Temporal is a durable workflow platform that ensures AI applications run reliably, every time. Build faster, prevent failures, and stand out from the crowd.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0170,Restate,https://restate.dev/,external,restate.dev,ok,200,https://www.restate.dev/,text/html; charset=utf-8,Restate - Build innately resilient distributed apps,Restate is a lightweight runtime that lets developers build innately resilient distributed apps without the complexity tax.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0171,DBOS,https://www.dbos.dev/,external,www.dbos.dev,ok,200,https://www.dbos.dev/,text/html; charset=utf-8,DBOS | Durable Workflow Orchestration,"DBOS is an open source durable execution and workflow orchestration system that radically simplifies the development and operation of reliable, observable workflows.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0172,Composio Agent Orchestrator,https://github.com/ComposioHQ/agent-orchestrator,external,github.com,ok,200,https://github.com/AgentWrapper/agent-orchestrator,text/html; charset=utf-8,"GitHub - AgentWrapper/agent-orchestrator: Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews. · GitHub","Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews. - AgentWrapper/agent-orchestrator",ComposioHQ/agent-orchestrator,7615,1043,973,"Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.",MIT,2026-06-21T10:05:42Z,,,2026-06-21T15:15:25+00:00 |
| ale-0173,Omnigent,https://github.com/omnigent-ai/omnigent,external,github.com,ok,200,https://github.com/omnigent-ai/omnigent,text/html; charset=utf-8,"GitHub - omnigent-ai/omnigent: Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device. · GitHub","Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device. - omnigent-ai/omnigent",omnigent-ai/omnigent,4274,481,228,"Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.",Apache-2.0,2026-06-21T15:14:32Z,,,2026-06-21T15:15:25+00:00 |
| ale-0174,From Agent Loops to Structured Graphs: A Scheduler-Theoretic Framework for LLM Agent Execution,https://arxiv.org/abs/2604.11378,external,arxiv.org,ok,200,https://arxiv.org/abs/2604.11378,text/html; charset=utf-8,[2604.11378] From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2604.11378: From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution,,,,,,,,2604.11378,,2026-06-21T15:15:25+00:00 |
| ale-0175,Eve,https://github.com/vercel/eve,external,github.com,ok,200,https://github.com/vercel/eve,text/html; charset=utf-8,GitHub - vercel/eve: The Framework for Building Agents · GitHub,The Framework for Building Agents. Contribute to vercel/eve development by creating an account on GitHub.,vercel/eve,1981,137,70,The Framework for Building Agents,Apache-2.0,2026-06-21T15:12:39Z,,,2026-06-21T15:15:25+00:00 |
| ale-0176,Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework,https://arxiv.org/abs/2603.11445,external,arxiv.org,ok,200,https://arxiv.org/abs/2603.11445,text/html; charset=utf-8,[2603.11445] Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2603.11445: Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution,,,,,,,,2603.11445,,2026-06-21T15:15:25+00:00 |
| ale-0177,SWE-bench,https://www.swebench.com/,external,www.swebench.com,ok,200,https://www.swebench.com/,text/html; charset=utf-8,SWE-bench Leaderboards,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0178,SWE-bench: Can Language Models Resolve Real-World GitHub Issues?,https://arxiv.org/abs/2310.06770,external,arxiv.org,ok,200,https://arxiv.org/abs/2310.06770,text/html; charset=utf-8,[2310.06770] SWE-bench: Can Language Models Resolve Real-World GitHub Issues? contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2310.06770: SWE-bench: Can Language Models Resolve Real-World GitHub Issues?,,,,,,,,2310.06770,,2026-06-21T15:15:25+00:00 |
| ale-0179,SWE-bench Goes Live,https://arxiv.org/abs/2505.23419,external,arxiv.org,ok,200,https://arxiv.org/abs/2505.23419,text/html; charset=utf-8,[2505.23419] SWE-bench Goes Live! open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2505.23419: SWE-bench Goes Live!,,,,,,,,2505.23419,,2026-06-21T15:15:25+00:00 |
| ale-0180,Terminal-Bench,https://www.tbench.ai/,external,www.tbench.ai,ok,200,https://www.tbench.ai/,text/html; charset=utf-8,Terminal-Bench,A benchmark for terminal agents,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0181,Terminal-Bench repository,https://github.com/harbor-framework/terminal-bench,external,github.com,ok,200,https://github.com/harbor-framework/terminal-bench,text/html; charset=utf-8,GitHub - harbor-framework/terminal-bench: A benchmark for LLMs on complicated tasks in the terminal · GitHub,A benchmark for LLMs on complicated tasks in the terminal - harbor-framework/terminal-bench,harbor-framework/terminal-bench,2373,544,306,A benchmark for LLMs on complicated tasks in the terminal,Apache-2.0,2026-06-20T09:01:26Z,,,2026-06-21T15:15:25+00:00 |
| ale-0182,AgentBench,https://arxiv.org/abs/2308.03688,external,arxiv.org,ok,200,https://arxiv.org/abs/2308.03688,text/html; charset=utf-8,[2308.03688] AgentBench: Evaluating LLMs as Agents open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2308.03688: AgentBench: Evaluating LLMs as Agents,,,,,,,,2308.03688,,2026-06-21T15:15:25+00:00 |
| ale-0183,WebArena,https://arxiv.org/abs/2307.13854,external,arxiv.org,ok,200,https://arxiv.org/abs/2307.13854,text/html; charset=utf-8,[2307.13854] WebArena: A Realistic Web Environment for Building Autonomous Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2307.13854: WebArena: A Realistic Web Environment for Building Autonomous Agents,,,,,,,,2307.13854,,2026-06-21T15:15:25+00:00 |
| ale-0184,OSWorld,https://arxiv.org/abs/2404.07972,external,arxiv.org,ok,200,https://arxiv.org/abs/2404.07972,text/html; charset=utf-8,[2404.07972] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2404.07972: OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments,,,,,,,,2404.07972,,2026-06-21T15:15:25+00:00 |
| ale-0185,ToolBench,https://arxiv.org/abs/2307.16789,external,arxiv.org,ok,200,https://arxiv.org/abs/2307.16789,text/html; charset=utf-8,[2307.16789] ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2307.16789: ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs,,,,,,,,2307.16789,,2026-06-21T15:15:25+00:00 |
| ale-0186,GAIA,https://arxiv.org/abs/2311.12983,external,arxiv.org,ok,200,https://arxiv.org/abs/2311.12983,text/html; charset=utf-8,[2311.12983] GAIA: a benchmark for General AI Assistants contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2311.12983: GAIA: a benchmark for General AI Assistants,,,,,,,,2311.12983,,2026-06-21T15:15:25+00:00 |
| ale-0187,Tau-bench,https://arxiv.org/abs/2406.12045,external,arxiv.org,ok,200,https://arxiv.org/abs/2406.12045,text/html; charset=utf-8,[2406.12045] $τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2406.12045: $τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains,,,,,,,,2406.12045,,2026-06-21T15:15:25+00:00 |
| ale-0188,VisualWebArena,https://arxiv.org/abs/2401.13649,external,arxiv.org,ok,200,https://arxiv.org/abs/2401.13649,text/html; charset=utf-8,[2401.13649] VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2401.13649: VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks,,,,,,,,2401.13649,,2026-06-21T15:15:25+00:00 |
| ale-0189,AppWorld,https://arxiv.org/abs/2407.18901,external,arxiv.org,ok,200,https://arxiv.org/abs/2407.18901,text/html; charset=utf-8,[2407.18901] AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2407.18901: AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents,,,,,,,,2407.18901,,2026-06-21T15:15:25+00:00 |
| ale-0190,Vending-Bench,https://arxiv.org/abs/2502.15840,external,arxiv.org,ok,200,https://arxiv.org/abs/2502.15840,text/html; charset=utf-8,[2502.15840] Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2502.15840: Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents,,,,,,,,2502.15840,,2026-06-21T15:15:25+00:00 |
| ale-0191,Vending-Bench leaderboard,https://andonlabs.com/evals/vending-bench,external,andonlabs.com,ok,200,https://andonlabs.com/evals/vending-bench,text/html; charset=UTF-8,Vending-Bench: Testing long-term coherence in agents | Andon Labs,"How do agents act over very long horizons? We answer this by letting agents manage a simulated vending machine business. The agents need to handle ordering, inventory management, and pricing over long context horizons to successfully make money.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0192,SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios,https://arxiv.org/abs/2512.18470,external,arxiv.org,ok,200,https://arxiv.org/abs/2512.18470,text/html; charset=utf-8,[2512.18470] SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2512.18470: SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios,,,,,,,,2512.18470,,2026-06-21T15:15:25+00:00 |
| ale-0193,EvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification,https://arxiv.org/abs/2604.01687,external,arxiv.org,ok,200,https://arxiv.org/abs/2604.01687,text/html; charset=utf-8,[2604.01687] CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2604.01687: CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification,,,,,,,,2604.01687,,2026-06-21T15:15:25+00:00 |
| ale-0194,SaaSBench: Coding Agents in Long-Horizon Enterprise SaaS Engineering,https://arxiv.org/abs/2605.17526,external,arxiv.org,ok,200,https://arxiv.org/abs/2605.17526,text/html; charset=utf-8,[2605.17526] SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2605.17526: SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering,,,,,,,,2605.17526,,2026-06-21T15:15:25+00:00 |
| ale-0195,RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades,https://arxiv.org/abs/2605.15846,external,arxiv.org,ok,200,https://arxiv.org/abs/2605.15846,text/html; charset=utf-8,[2605.15846] RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2605.15846: RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades,,,,,,,,2605.15846,,2026-06-21T15:15:25+00:00 |
| ale-0196,SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks,https://arxiv.org/abs/2603.24755,external,arxiv.org,ok,200,https://arxiv.org/abs/2603.24755,text/html; charset=utf-8,[2603.24755] SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2603.24755: SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks,,,,,,,,2603.24755,,2026-06-21T15:15:25+00:00 |
| ale-0197,LongCLI-Bench: A Preliminary Benchmark for Long-horizon Agentic Programming in Command-Line Interfaces,https://arxiv.org/abs/2602.14337,external,arxiv.org,ok,200,https://arxiv.org/abs/2602.14337,text/html; charset=utf-8,[2602.14337] LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces open search open navigation menu contact arXiv subscribe to arXiv mailings,Abstract page for arXiv paper 2602.14337: LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces,,,,,,,,2602.14337,,2026-06-21T15:15:25+00:00 |
| ale-0198,Agentic Engineering: The Agent Loop,https://junpingyi.com/books/agentic-engineering/agent-loop/,external,junpingyi.com,ok,200,https://junpingyi.com/books/agentic-engineering/agent-loop/,text/html,Chapter 1: The Agent Loop — Agentic Engineering: How to Build AI Agents Like Claude Code,Chapter 1: The Agent Loop from Agentic Engineering: How to Build AI Agents Like Claude Code,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0199,"The agent loop: ReAct, plan-and-execute, reflection",https://www.kunwar.page/chapter/067-the-agent-loop-react-plan-and-execute-reflection,external,www.kunwar.page,ok,200,https://www.kunwar.page/chapter/067-the-agent-loop-react-plan-and-execute-reflection,text/html; charset=utf-8,"Chapter 67: The agent loop: ReAct, plan-and-execute, reflection — The Holy Grail Basic agent loop: generate, check for tool calls, execute tools and loop back, or return final answer on no tool call. ReAct interleaves Thought, Action, and Observation triplets; each Thought improves the next Action choice by externalizing reasoning. Agent cost vs single-shot: one LLM call versus 5-12 interleaved LLM and tool calls, showing the 10x cost and latency multiplier.",An agent is a loop of `model.generate()` calls with tool calls in between. The loop is the entire pattern,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0200,How to Build an Agent,https://ampcode.com/how-to-build-an-agent,external,ampcode.com,ok,200,https://ampcode.com/notes/how-to-build-an-agent,text/html,Amp,"Building a fully functional, code-editing agent in less than 400 lines.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0201,Agentic Coding Recommendations,https://lucumr.pocoo.org/2025/6/12/agentic-coding/,external,lucumr.pocoo.org,ok,200,https://lucumr.pocoo.org/2025/6/12/agentic-coding/,text/html; charset=utf-8,Agentic Coding Recommendations | Armin Ronacher's Thoughts and Writings,Current recommendations of agentic coding.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0202,Coding Agents 101: The Art of Actually Getting Things Done,https://devin.ai/agents101,external,devin.ai,ok,200,https://devin.ai/agents101,text/html; charset=utf-8,Coding Agents 101: The Art of Actually Getting Things Done,Coding Agents 101: The Art of Actually Getting Things Done,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0203,How Anthropic teams use Claude Code,https://claude.com/blog/how-anthropic-teams-use-claude-code,external,claude.com,ok,200,https://claude.com/blog/how-anthropic-teams-use-claude-code,text/html; charset=utf-8,How Anthropic teams use Claude Code | Claude,Teams across Anthropic use Claude Code for everything from debugging production issues and navigating unfamiliar codebases to building custom automation tools. Here's how. ,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0204,How Boris Uses Claude Code,https://howborisusesclaudecode.com/,external,howborisusesclaudecode.com,ok,200,https://howborisusesclaudecode.com/,text/html; charset=UTF-8,How Boris Uses Claude Code,107 tips from the creator of Claude Code on how he uses it daily,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0205,Agent of the Day: Copilot Agent PR Analysis,https://github.github.com/gh-aw/blog/2026-05-26-agent-of-the-day/,external,github.github.com,ok,200,https://github.github.com/gh-aw/blog/2026-05-26-agent-of-the-day/,text/html; charset=utf-8,"Agent of the Day – May 26, 2026 | GitHub Agentic Workflows",Copilot Agent PR Analysis: a daily workflow that monitors GitHub Copilot coding agent performance across pull requests,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0206,Resource entry template,templates/resource-entry.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/templates/resource-entry.md,,Resource entry template,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0207,Loop pattern template,templates/loop-pattern.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/templates/loop-pattern.md,,Loop pattern template,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0208,Loop contract schema,schemas/loop-contract.schema.json,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/schemas/loop-contract.schema.json,,Loop contract schema,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0209,Loop contract preview script,scripts/preview_loop_contract.py,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/scripts/preview_loop_contract.py,,Loop contract preview script,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0210,Translation guide,TRANSLATIONS.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/TRANSLATIONS.md,,Translation guide,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0211,Pattern library index,patterns/README.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/README.md,,Pattern library index,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0212,Example loop specs,examples/README.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/examples/README.md,,Example loop specs,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0213,Loop contract library,examples/README.md#contract-library,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/examples/README.md#contract-library,,Loop contract library,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0214,Runnable test-repair loop,examples/runnable/test-repair-loop.sh,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/examples/runnable/test-repair-loop.sh,,Runnable test-repair loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0215,Runnable loop guide,examples/runnable/README.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/examples/runnable/README.md,,Runnable loop guide,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0216,Loop gallery guide,gallery/README.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/gallery/README.md,,Loop gallery guide,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0217,Loop gallery template,gallery/template.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/gallery/template.md,,Loop gallery template,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0218,PR babysitter reference loop,gallery/pr-babysitter-reference.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/gallery/pr-babysitter-reference.md,,PR babysitter reference loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0219,CI repair reference loop,gallery/ci-repair-reference.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/gallery/ci-repair-reference.md,,CI repair reference loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0220,Docs drift reference loop,gallery/docs-drift-reference.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/gallery/docs-drift-reference.md,,Docs drift reference loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0221,Landing page,https://chaoyue0307.github.io/awesome-loop-engineering/,external,chaoyue0307.github.io,ok,200,https://chaoyue0307.github.io/awesome-loop-engineering/,text/html; charset=utf-8,Awesome Loop Engineering,"A curated field guide to Loop Engineering: designing recurring AI-agent systems above prompt, context, and harness engineering.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0222,Hugging Face dataset mirror,https://huggingface.co/datasets/cy0307/awesome-loop-engineering,external,huggingface.co,ok,200,https://huggingface.co/datasets/cy0307/awesome-loop-engineering,text/html; charset=utf-8,cy0307/awesome-loop-engineering · Datasets at Hugging Face,We’re on a journey to advance and democratize artificial intelligence through open source and open science.,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0223,Landing page source,docs/index.html,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/docs/index.html,,Landing page source,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0224,Sitemap,docs/sitemap.xml,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/docs/sitemap.xml,,Sitemap,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0225,Robots file,docs/robots.txt,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/docs/robots.txt,,Robots file,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0226,Roadmap,ROADMAP.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/ROADMAP.md,,Roadmap,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0227,Launch article,posts/launch.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/posts/launch.md,,Launch article,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0228,Discussion guide,meta/DISCUSSIONS.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/meta/DISCUSSIONS.md,,Discussion guide,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0229,Show your Loop Engineering patterns,https://github.com/ChaoYue0307/awesome-loop-engineering/discussions/2,external,github.com,ok,200,https://github.com/ChaoYue0307/awesome-loop-engineering/discussions/2,text/html; charset=utf-8,Show your Loop Engineering patterns · ChaoYue0307/awesome-loop-engineering · Discussion #2 · GitHub,Show your Loop Engineering patterns,ChaoYue0307/awesome-loop-engineering,11,2,2,Curated resources and practical patterns for Loop Engineering with AI and coding agents,CC0-1.0,2026-06-21T15:08:06Z,,,2026-06-21T15:15:25+00:00 |
| ale-0230,PR babysitter,patterns/pr-babysitter.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/pr-babysitter.md,,PR babysitter,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0231,CI repair loop,patterns/ci-repair-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/ci-repair-loop.md,,CI repair loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0232,Docs drift collector,patterns/docs-drift-collector.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/docs-drift-collector.md,,Docs drift collector,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0233,Deploy verifier,patterns/deploy-verifier.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/deploy-verifier.md,,Deploy verifier,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0234,Feedback clusterer,patterns/feedback-clusterer.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/feedback-clusterer.md,,Feedback clusterer,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0235,Dependency triage loop,patterns/dependency-triage-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/dependency-triage-loop.md,,Dependency triage loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0236,Evaluation regression loop,patterns/evaluation-regression-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/evaluation-regression-loop.md,,Evaluation regression loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0237,Security review loop,patterns/security-review-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/security-review-loop.md,,Security review loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0238,Cost-control loop,patterns/cost-control-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/cost-control-loop.md,,Cost-control loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0239,Bug hunting loop,patterns/bug-hunting-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/bug-hunting-loop.md,,Bug hunting loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0240,Enterprise approval loop,patterns/enterprise-approval-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/enterprise-approval-loop.md,,Enterprise approval loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0241,Incident response loop,patterns/incident-response-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/incident-response-loop.md,,Incident response loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0242,Data-quality loop,patterns/data-quality-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/data-quality-loop.md,,Data-quality loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0243,Release-note loop,patterns/release-note-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/release-note-loop.md,,Release-note loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0244,Model-routing loop,patterns/model-routing-loop.md,local_path,,local_ok,,https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/model-routing-loop.md,,Model-routing loop,,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0245,Most Developers Do Not Need Agent Loops Yet,https://alphasignalai.substack.com/p/most-developers-do-not-need-agent,external,alphasignalai.substack.com,ok,200,https://alphasignalai.substack.com/p/most-developers-do-not-need-agent,text/html; charset=utf-8,Most Developers Do Not Need Agent Loops Yet,"The patterns were documented in 2024. Here’s who it pays off for, and the four conditions that decide.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0246,Engineering Agentic Systems for Reliability,https://pruningmypothos.com/systems/engineering-agentic-systems-for-reliability/,external,pruningmypothos.com,ok,200,https://pruningmypothos.com/systems/engineering-agentic-systems-for-reliability/,text/html,Engineering Agentic Systems for Reliability | Systems | A Thinking Workspace,"A practical reliability model for agentic systems built around governed steps, verification, escalation, and observability.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0247,"Self-Correcting Agents: Reflexion, CRITIC, and ReAct Loops Compared",https://callsphere.ai/blog/self-correcting-agents-reflexion-critic-react-loops-compared-2026,external,callsphere.ai,ok,200,https://callsphere.ai/blog/self-correcting-agents-reflexion-critic-react-loops-compared-2026,text/html; charset=utf-8,"Self-Correcting Agents: Reflexion, CRITIC, and ReAct Loops Compared | CallSphere Blog","Three self-correction patterns dominate 2026 agent design. Side-by-side analysis of where each one wins, where each one fails, and how to combine them.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0248,How to Build an AI Agent Harness: A 2026 Complete Guide,https://atlan.com/know/how-to-build-ai-agent-harness/,external,atlan.com,ok,200,https://atlan.com/know/how-to-build-ai-agent-harness/,text/html,How to Build an AI Agent Harness: Step-by-Step Tutorial (2026),"Most agent harnesses fail at the data layer, not the loop. Build one the right way in 10 steps, with code and a done test for each. Start at Step 0.",,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0249,Harness Engineering vs Prompt Engineering vs Context Engineering Explained,https://medium.com/@visrow/harness-engineering-vs-prompt-engineering-vs-context-engineering-explained-0423b692c87d,external,medium.com,ok,200,https://medium.com/@visrow/harness-engineering-vs-prompt-engineering-vs-context-engineering-explained-0423b692c87d,text/html; charset=utf-8,"Harness Engineering vs Prompt Engineering vs Context Engineering Explained | by Vishal Mysore | May, 2026 | Medium",Harness Engineering vs Prompt Engineering vs Context Engineering Explained Understanding the evolution from prompts and RAG to reliable AI agent runtime systems. Prompt Engineering tells the model …,,,,,,,,,,2026-06-21T15:15:25+00:00 |
| ale-0250,Awesome Harness Engineering,https://github.com/ai-boost/awesome-harness-engineering,external,github.com,ok,200,https://github.com/ai-boost/awesome-harness-engineering,text/html; charset=utf-8,"GitHub - ai-boost/awesome-harness-engineering: Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration. · GitHub","Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration. - ai-boost/awesome-harness-engineering",ai-boost/awesome-harness-engineering,1957,204,69,"Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.",NOASSERTION,2026-06-21T15:05:22Z,,,2026-06-21T15:15:25+00:00 |
| ale-0251,Awesome Harness Engineering,https://github.com/walkinglabs/awesome-harness-engineering,external,github.com,ok,200,https://github.com/walkinglabs/awesome-harness-engineering,text/html; charset=utf-8,GitHub - walkinglabs/awesome-harness-engineering: 🛠️ Awesome tools & guides for harness engineering. · GitHub,🛠️ Awesome tools & guides for harness engineering. - walkinglabs/awesome-harness-engineering,walkinglabs/awesome-harness-engineering,3283,259,14,🛠️ Awesome tools & guides for harness engineering.,NOASSERTION,2026-06-21T14:48:13Z,,,2026-06-21T15:15:25+00:00 |
| ale-0252,Awesome Agent Harness,https://github.com/AutoJunjie/awesome-agent-harness,external,github.com,ok,200,https://github.com/AutoJunjie/awesome-agent-harness,text/html; charset=utf-8,GitHub - AutoJunjie/awesome-agent-harness · GitHub,Contribute to AutoJunjie/awesome-agent-harness development by creating an account on GitHub.,AutoJunjie/awesome-agent-harness,457,38,11,,,2026-06-18T07:08:45Z,,,2026-06-21T15:15:25+00:00 |
| ale-0253,Awesome Context Engineering,https://github.com/Meirtz/Awesome-Context-Engineering,external,github.com,ok,200,https://github.com/Meirtz/Awesome-Context-Engineering,text/html; charset=utf-8,"GitHub - Meirtz/Awesome-Context-Engineering: 🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents. · GitHub","🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents. - Meirtz/Awesome-Context-Engineering",Meirtz/Awesome-Context-Engineering,3193,249,38,"🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.",MIT,2026-06-20T12:11:57Z,,,2026-06-21T15:15:25+00:00 |
| ale-0254,Awesome Prompt Engineering,https://github.com/promptslab/Awesome-Prompt-Engineering,external,github.com,ok,200,https://github.com/promptslab/Awesome-Prompt-Engineering,text/html; charset=utf-8,"GitHub - promptslab/Awesome-Prompt-Engineering: This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc · GitHub","This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc - GitHub - promptslab/Awesome-Prompt-Engineering: This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc",promptslab/Awesome-Prompt-Engineering,6072,709,81,"This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc",Apache-2.0,2026-06-21T09:59:46Z,,,2026-06-21T15:15:25+00:00 |
| ale-0255,Awesome LLM Agents,https://github.com/kaushikb11/awesome-llm-agents,external,github.com,ok,200,https://github.com/kaushikb11/awesome-llm-agents,text/html; charset=utf-8,GitHub - kaushikb11/awesome-llm-agents: A curated list of awesome LLM agents frameworks. · GitHub,A curated list of awesome LLM agents frameworks. Contribute to kaushikb11/awesome-llm-agents development by creating an account on GitHub.,kaushikb11/awesome-llm-agents,1514,316,147,A curated list of awesome LLM agents frameworks.,,2026-06-21T05:06:10Z,,,2026-06-21T15:15:25+00:00 |
| ale-0256,Awesome AI Agents,https://github.com/e2b-dev/awesome-ai-agents,external,github.com,ok,200,https://github.com/e2b-dev/awesome-ai-agents,text/html; charset=utf-8,GitHub - e2b-dev/awesome-ai-agents: A list of AI autonomous agents · GitHub,A list of AI autonomous agents. Contribute to e2b-dev/awesome-ai-agents development by creating an account on GitHub.,e2b-dev/awesome-ai-agents,28423,3049,767,A list of AI autonomous agents,NOASSERTION,2026-06-21T14:42:13Z,,,2026-06-21T15:15:25+00:00 |
| ale-0257,Awesome CLI Coding Agents,https://github.com/bradAGI/awesome-cli-coding-agents,external,github.com,ok,200,https://github.com/bradAGI/awesome-cli-coding-agents,text/html; charset=utf-8,"GitHub - bradAGI/awesome-cli-coding-agents: Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI), parallel runners, autonomous loops, and agent infrastructure. · GitHub","Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI), parallel runners, autonomous loops, and agent infrastructure. - GitHub - bradAGI/awesome-cli-coding-agents: Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI), parallel runners, autonomous loops, and agent infrastructure.",bradAGI/awesome-cli-coding-agents,603,148,61,"Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI), parallel runners, autonomous loops, and agent infrastructure.",,2026-06-21T12:17:05Z,,,2026-06-21T15:15:25+00:00 |
| ale-0258,Awesome Self-Evolving Agents,https://github.com/XMUDeepLIT/Awesome-Self-Evolving-Agents,external,github.com,ok,200,https://github.com/XMUDeepLIT/Awesome-Self-Evolving-Agents,text/html; charset=utf-8,"GitHub - XMUDeepLIT/Awesome-Self-Evolving-Agents: A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents. · GitHub","A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents. - XMUDeepLIT/Awesome-Self-Evolving-Agents",XMUDeepLIT/Awesome-Self-Evolving-Agents,266,18,3,"A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents.",,2026-06-20T16:49:05Z,,,2026-06-21T15:15:25+00:00 |
| ale-0259,Awesome AI Agent Papers,https://github.com/VoltAgent/awesome-ai-agent-papers,external,github.com,ok,200,https://github.com/VoltAgent/awesome-ai-agent-papers,text/html; charset=utf-8,"GitHub - VoltAgent/awesome-ai-agent-papers: A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems. · GitHub","A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems. - VoltAgent/awesome-ai-agent-papers",VoltAgent/awesome-ai-agent-papers,1442,159,5,"A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.",MIT,2026-06-21T13:23:59Z,,,2026-06-21T15:15:25+00:00 |
| |
