Review of AutoGen
AutoGen is an open-source framework developed by Microsoft Research to build multi-agent AI applications. It enables the creation of autonomous agents that collaborate to accomplish complex tasks by decomposing problems, exchanging messages, and executing code. Available in Python and .NET, AutoGen v0.4 introduces a modular architecture with AutoGen Core, AgentChat, and Extensions. It supports all major LLMs and is used in production across many enterprises.
AutoGen: Le framework Microsoft pour orchestrer des agents IA collaboratifs.
Best for
- AI researchers and engineers exploring agentic systems
- Developers building complex automation pipelines
- Enterprises deploying multi-agent workflows in production
- Teams using Python / .NET to integrate AI agents
Not ideal for
- Non-developers without programming experience
- Small simple projects not needing multiple agents
- Users looking for a turnkey AI assistant
- Teams without resources to manage an agent infrastructure
Pros & cons
- ✅ Developed by Microsoft Research, quality and longevity
- ✅ Modular and extensible multi-agent architecture
- ✅ Supports Python and .NET with cross-language interop
- ✅ Compatible with all major LLMs available
- ✅ AutoGen Studio low-code interface for visual workflows
- ✅ State management, memory and agent serialization
- ⚠️ Steep learning curve for advanced use cases
- ⚠️ Documentation can be dense for junior developers
- ⚠️ Requires Python or .NET knowledge for customization
- ⚠️ Managing API costs can be complex with many agents
Our verdict
AutoGen is the reference framework from Microsoft Research for building multi-agent AI systems. Version 0.4 marks a major redesign with a more robust, extensible architecture suited for production deployments. Support for Python and .NET with cross-language interoperability sets it apart from many competitors. AutoGen Studio adds a visual low-code interface that democratizes access to multi-agent workflows. Compatibility with all major LLMs and its Microsoft origin ensure long-term support and evolution. However, it is reserved for technical profiles: the learning curve is significant, and simple use cases do not require such a framework. For teams that need to orchestrate collaborative autonomous agents in complex environments, AutoGen is an indispensable and trusted choice.
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FAQ
What is AutoGen and what is it used for?
AutoGen is Microsoft's open-source framework for creating applications where multiple AI agents collaborate. Each agent can have a specific role (reasoning, code execution, search…) and communicates with others to solve complex tasks.
Is AutoGen free?
Yes, AutoGen is entirely free and open source. The only costs are LLM API fees for the models you connect to your agents (OpenAI, Anthropic, etc.).
What is the difference between AutoGen Core and AgentChat?
AutoGen Core is the foundational layer providing primitives for creating agents. AgentChat builds on Core and offers pre-built agents and high-level interfaces to accelerate development.
Is AutoGen Studio an option for non-developers?
AutoGen Studio offers a visual low-code interface for creating multi-agent workflows without writing much code. It is more accessible, but an understanding of agentic AI concepts is still needed.
Does AutoGen support open-source models?
Yes, AutoGen is compatible with all major LLMs: GPT-4, Claude, Gemini, and open-source models via Ollama or any OpenAI-compatible API.