Buckets:
| language: | |
| - en | |
| license: mit | |
| tags: | |
| - artificial-intelligence | |
| - ai-agents | |
| - multi-agent | |
| - crewai | |
| - langchain | |
| - langgraph | |
| - autogen | |
| - mcp | |
| - model-context-protocol | |
| - function-calling | |
| - tool-use | |
| - orchestration | |
| - ayinedjimi-consultants | |
| pretty_name: "AI Agents - English Dataset (Architectures, Frameworks, MCP)" | |
| size_categories: | |
| - n<1K | |
| task_categories: | |
| - question-answering | |
| - text-generation | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| - name: subcategory | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: metadata | |
| dtype: string | |
| - name: source_url | |
| dtype: string | |
| - name: language | |
| dtype: string | |
| # AI Agents - English Dataset | |
| Comprehensive bilingual dataset on **AI Agents**, **Multi-Agent Frameworks**, and the **Model Context Protocol (MCP)**. | |
| ## Dataset Contents | |
| | Category | Entry Count | Description | | |
| |----------|:-----------:|-------------| | |
| | **Agent Architectures** | 15 | ReAct, Plan-and-Execute, Reflexion, Multi-Agent, Hierarchical, Swarm, etc. | | |
| | **Frameworks** | 12 | CrewAI, AutoGen, LangGraph, Semantic Kernel, Haystack, Dify, etc. | | |
| | **MCP & Tool Use** | 15 | MCP architecture, transports, function calling, security, ecosystem | | |
| | **Anti-Patterns** | 10 | Infinite loops, privilege escalation, prompt injection, etc. | | |
| | **Questions & Answers** | 80 | Q&A covering all aspects of AI agents | | |
| | **Total** | **132** | | | |
| ## Reference Articles | |
| This dataset covers topics from the following articles: | |
| - **Autonomous AI Agents** - Architecture and patterns for autonomous agents | |
| - **CrewAI, AutoGen, LangGraph** - Multi-agent framework comparison | |
| - **MCP (Model Context Protocol)** - The standard protocol for connecting LLMs to tools | |
| - **Function Calling and Tool Use** - Function calling and tool use techniques | |
| - **AI Agent Orchestration** - Orchestration patterns and production deployment | |
| ## Data Structure | |
| Each entry contains: | |
| - `id`: Unique identifier | |
| - `category`: Category (agent_architecture, framework, mcp_tools, anti_pattern, qa) | |
| - `subcategory`: Specific subcategory | |
| - `question`: Question in English | |
| - `answer`: Detailed answer in English | |
| - `metadata`: JSON metadata (components, use cases, pros/cons, etc.) | |
| - `source_url`: Reference URL | |
| - `language`: Language (en) | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("AYI-NEDJIMI/ai-agents-en") | |
| # Filter by category | |
| architectures = [r for r in dataset["train"] if r["category"] == "agent_architecture"] | |
| frameworks = [r for r in dataset["train"] if r["category"] == "framework"] | |
| mcp = [r for r in dataset["train"] if r["category"] == "mcp_tools"] | |
| anti_patterns = [r for r in dataset["train"] if r["category"] == "anti_pattern"] | |
| qa = [r for r in dataset["train"] if r["category"] == "qa"] | |
| ``` | |
| ## Topics Covered | |
| - **ReAct** (Reasoning + Acting) - Reasoning and action loop | |
| - **CrewAI vs AutoGen vs LangGraph** - Detailed framework comparison | |
| - **MCP Protocol** - Client-server architecture, transports, servers | |
| - **Function Calling** - OpenAI, Anthropic, Google formats | |
| - **Tool Use** - Best practices, security, validation | |
| - **Multi-Agent Patterns** - Supervisor, Swarm, Hierarchical, Conversational | |
| - **Orchestration** - Workflows, event-driven, state management | |
| - **Security** - Prompt injection, privilege escalation, sandboxing | |
| - **Cost Optimization** - Caching, model routing, token budgets | |
| - **Production Deployment** - Monitoring, observability, testing, CI/CD | |
| ## Author | |
| **AYI-NEDJIMI Consultants** - Expertise in Artificial Intelligence and Compliance | |
| ## Free Resources | |
| - French version dataset: [AYI-NEDJIMI/ai-agents-fr](https://huggingface.co/datasets/AYI-NEDJIMI/ai-agents-fr) | |
| - Complete collection: [AYI-NEDJIMI on HuggingFace](https://huggingface.co/AYI-NEDJIMI) | |
| ## License | |
| MIT License - Free to use, modify, and distribute. | |
| --- | |
| ## About the Author | |
| **AYI NEDJIMI Consultants** - Consulting firm specialized in Artificial Intelligence, Cybersecurity and Digital Transformation. | |
| - Website: [ayinedjimi-consultants.fr](https://ayinedjimi-consultants.fr) | |
| - Expertise: Generative AI, RAG, LangChain, Cybersecurity, AI Act Compliance | |
| ### Free Resources | |
| Discover our free whitepapers on AI and cybersecurity: | |
| - [AI & Cyberdefense Whitepaper](https://ayinedjimi-consultants.fr/livre-blanc-ia-cyberdefense.html) | |
| - [AI Act 2026 Guide](https://ayinedjimi-consultants.fr/articles/conformite/ai-act-2026-conformite-ia.html) | |
| - And more on [ayinedjimi-consultants.fr](https://ayinedjimi-consultants.fr) | |
| ### Complete Collection | |
| Find all our datasets on HuggingFace: [AYI-NEDJIMI](https://huggingface.co/AYI-NEDJIMI) | |
| --- | |
| *Dataset generated by AYI NEDJIMI Consultants. MIT License.* | |
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