autogen

AutoGen addresses the challenge of building multi-agent AI applications that can operate autonomously or collaborate with humans, focusing on orchestrating interactions among AI agents. Unlike single-agent frameworks or basic chatbot libraries, it provides abstractions to coordinate multiple agents and integrate with external tools like web browsers via MCP servers. Its design targets ML and AI engineers who want to prototype complex agent ecosystems rather than simple assistants. However, the project is archived and no longer maintained by Microsoft, with no bug fixes or security patches forthcoming. Despite its 58,000+ stars and recent commits, the lack of ongoing support and no meaningful growth signal make it unsuitable for production use. Teams requiring a maintained and enterprise-grade multi-agent framework should consider Microsoft Agent Framework instead. AutoGen is a poor choice if you need long-term stability or security guarantees in a production environment.

AutoGen is a strong choice for research or experimentation with multi-agent AI systems where exploring agent orchestration and autonomy is the goal. For production or enterprise projects, Microsoft Agent Framework offers a supported, stable alternative with long-term maintenance. For simpler single-agent chatbot implementations, frameworks like LangChain or Rasa may be more appropriate due to their focus and community support.

It typically fits teams building experimental multi-agent AI setups such as autonomous assistants coordinating tasks or AI-driven workflows involving multiple specialised agents. Use cases include prototyping collaborative AI agents that interact with APIs or external systems like web browsers, rather than straightforward conversational bots or single-model deployments.

Latest commit: 2026-04-15. Activity data is based on daily RepoPi snapshots of the GitHub repository.