autogen
SkillAI & modelsAutoGen (Microsoft) — multi-agent conversation framework. Agent-to-agent chat, code generation & execution, tool use, group chat, and human-in-the-loop. Build collaborative AI systems with specialized agents.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the autogen skill
What this skill tells your AI
The instructions your AI receives, as published by mkurman/zorai in skills/scientific-skills/autogen/SKILL.md and read by ahel’s review.
Overview
AutoGen (Microsoft) enables multi-agent conversations where specialized LLM agents collaborate, write and execute code, use tools, and solve problems together. Supports group chat, human-in-the-loop, and flexible agent topologies.
Installation
uv pip install pyautogen
Two-Agent Coding
import autogen
config_list = [{"model": "gpt-4", "api_key": "sk-your-key"}]
assistant = autogen.AssistantAgent(
name="coder",
llm_config={"config_list": config_list},
)
user = autogen.UserProxyAgent(
name="user",
human_input_mode="NEVER",
code_execution_config={"work_dir": "coding", "use_docker": False},
)
user.initiate_chat(
assistant,
message="Write a Python function to calculate Fibonacci numbers.",
)
Group Chat
from autogen import GroupChat, GroupChatManager
groupchat = GroupChat(agents=[engineer, critic, executor], messages=[], max_round=10)
manager = GroupChatManager(groupchat=groupchat, llm_config=llm_config)
References
Signals
- GitHub stars
- 324
- Forks
- 26
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
autogen-mkurman- Source
- github.com/mkurman/zorai