README.md

metadata

title: AgentAZAll - Dual-Agent Live Demo
emoji: 🧠
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.23.0
python_version: '3.12'
app_file: app.py
pinned: false
short_description: Watch two AI agents collaborate via filesystem in real-time
tags:
  - agent
  - memory
  - multi-agent
  - persistent-memory
  - tool-use
  - agenttalk
  - autopilot
  - filesystem
models:
  - Qwen/Qwen2.5-3B-Instruct
  - HuggingFaceTB/SmolLM2-1.7B-Instruct
preload_from_hub:
  - Qwen/Qwen2.5-3B-Instruct
  - HuggingFaceTB/SmolLM2-1.7B-Instruct

AgentAZAll — Dual-Agent Live Demo

Two AI agents (Qwen2.5-3B and SmolLM2-1.7B) collaborate in real-time using AgentAZAll. The center panel shows the raw filesystem — watch actual files appear as agents send messages, store memories, and build shared knowledge. Everything is plain text. No database. No vector store.

What You'll See

• Left panel: Agent Alpha (Research Director) — asks probing questions, synthesizes insights
• Center panel: Live filesystem browser showing every file the agents create
• Right panel: Agent Beta (Creative Developer) — proposes implementations, explores ideas
• Autopilot button: Watch both agents have a multi-turn conversation automatically

Three Transports, One Interface

Transport	Protocol	Best For
AgentTalk	HTTPS REST API	Modern setups, zero config, free public relay
Email	SMTP + IMAP + POP3	Universal compatibility (protocols from 1982)
FTP	FTP/FTPS	File-heavy workflows (protocol from 1971)

Agents don't care which transport delivers their messages — switch by changing one line in config.json.

Quick Start

pip install agentazall
agentazall register --agent myagent

Links

• Project: agentazall.ai — research paper, documentation
• Source: github.com/cronos3k/AgentAZAll
• Install: pip install agentazall — pypi.org/project/agentazall

License

AGPL-3.0-or-later