AutoGen, Joute's Review

The essentials in 20 seconds

• Microsoft open source Python framework for orchestrating collaborating AI agents
• Conversational agents that can run code, browse the web, call APIs
• Compatible with OpenAI, Azure OpenAI, Anthropic, and open source models
• Price: free, open source (MIT)

Verdict: The reference multi-agent framework from Microsoft. Powerful and flexible, but complex to master.

What is AutoGen

AutoGen is a Python framework developed by Microsoft Research. It lets you build systems where multiple AI agents talk to each other to solve complex tasks. One agent can propose code, another execute it, a third evaluate the result.

Released in late 2023, it quickly accumulated over 35,000 GitHub stars and became the reference for anyone building multi-agent pipelines in Python.

Strengths

Native multi-agent architecture

AutoGen is built around agent collaboration. You can define agents with precise roles: planner, executor, critic, human-in-the-loop. Message routing between agents is at the core of the framework.

Integrated code execution

AutoGen agents can execute Python code in a sandbox environment. The agent generates the code, the environment runs it, the result comes back to the agent. The full cycle is automated.

Multi-LLM support

OpenAI, Azure OpenAI, Anthropic, Google, LiteLLM, Ollama. You're not locked into a single provider. You can even mix models across agents.

Limits

Significant learning curve

AutoGen 0.4 (the current version) broke compatibility with previous versions. The documentation is dense. Getting seriously up to speed takes days.

Hard to debug on complex workflows

Tracking what's happening in a pipeline with 5 agents exchanging messages isn't trivial. Visualization tools exist but remain basic.

Pricing

• Free, MIT open source
• You pay for the LLM tokens you use

Alternatives

• CrewAI for a more accessible multi-agent approach with pre-defined roles
• LangGraph for stateful agent workflows with LangChain
• Mastra for multi-agents in TypeScript

Verdict

AutoGen is the right choice if you're building complex agent workflows in Python and have the time to learn it properly. For simpler cases, CrewAI is more accessible. For TypeScript, look at Mastra.

FAQ

Does AutoGen require an OpenAI key?

No. It supports Anthropic, Azure OpenAI, local models via Ollama, and other providers. An LLM API key is required, but the choice is yours.

What's the difference between AutoGen and CrewAI?

AutoGen is lower-level and more flexible. CrewAI abstracts more of the coordination between agents and is more accessible to get started. AutoGen gives you more control over inter-agent conversations.

Is AutoGen 0.4 compatible with AutoGen 0.2 tutorials?

No. There's a significant API break between 0.2 and 0.4. Use the official examples for whichever version you're running.

Can AutoGen be used in production?

Yes. Microsoft uses it internally for production cases. Error handling and timeouts need to be configured for your specific use case.

AutoGen is open source and free. Joute doesn't earn a commission on this tool. Learn more about our affiliate policy.