AI Agents
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Take multi-agent AutoGen workflows to production, fast.
★ 547 starsApache-2.0
View guide →The open-source AgentOS, formerly known as AutoGen.
ag2 is an open-source ai agents project by ag2ai (ag2ai/ag2 on GitHub). It has 4,983 GitHub stars and 739 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Agents converse and collaborate.
An operating layer for agents.
People can join the conversation.
Born at Microsoft Research.
Discord and ongoing development.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/ag2ai/ag2.git
cd ag2Create a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at ag2ai/ag2 and has attracted 739 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
AG2 shines when tasks decompose across cooperating agents. For a single focused agent, a lighter framework may be simpler - reach for AG2 when collaboration is the point.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Take multi-agent AutoGen workflows to production, fast.
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