AutoGen
Microsoft's multi-agent conversation framework for building LLM applications with agent collaboration.
AutoGen is Microsoft's open-source framework for building multi-agent AI systems. It enables multiple LLM agents to converse with each other, collaborate on tasks, and use tools — all while a human can step in at any point. The framework is designed for scenarios where complex tasks benefit from specialized agents working together.
The core abstraction is the conversable agent: each agent has a system message defining its role, access to tools, and the ability to send and receive messages. AutoGen supports assistant agents (LLM-powered), user proxy agents (human input), group chat managers, and custom agent types. Agents can be arranged in two-agent pairs, group chats, or hierarchical structures.
AutoGen has been used for applications ranging from code generation and debugging to financial analysis and scientific research. Its strength lies in the conversation-driven approach: agents don't just return results, they discuss, critique, and refine their outputs through multi-turn dialogue.
Key Features: Multi-agent conversation framework with flexible topologies; Built-in code execution sandbox for safe code generation; Human-in-the-loop support for oversight and input; Group chat manager for coordinating multiple agents; Tool and function integration for external actions; Extensible agent types for custom behaviors.
Who Should Use It: Researchers exploring multi-agent AI patterns; developers building collaborative AI systems; teams needing human-in-the-loop AI workflows.
Pricing: Open-source (MIT license). Free to use and self-host.
Pros: Powerful multi-agent conversation model; strong code execution capabilities; Microsoft backing and active research community; flexible agent topologies.
Cons: Complex setup for simple use cases; conversation overhead can be slow; documentation can be academic; less polished than CrewAI for business workflows.
Alternatives: CrewAI (more business-friendly), LangGraph (stateful agent orchestration), Semantic Kernel (Microsoft's broader AI framework).
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