AutoGen
Free tierBuild multi-agent AI applications with conversable, customizable agents powered by LLMs
Free·Technical·Powered by OpenAI, Azure OpenAI, and others·API available·Open source
Key strengths
Multi-agent conversation orchestrationFlexible agent customization and role assignmentHuman-in-the-loop supportBroad LLM backend compatibilityOpen-source with active Microsoft Research backing
Completely free
Redmond, USA
Founded 2023
Self-hostable
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- Code generation & execution loops — use
AssistantAgent+UserProxyAgentwith Docker-sandboxed code execution for safe iterative code generation and testing - RAG-augmented agents — integrate vector stores (e.g., Chroma, Qdrant) with
RetrieveAssistantAgentfor retrieval-augmented generation pipelines - LLM benchmarking harnesses — automate evaluation of LLM outputs across multiple models using AutoGen's flexible multi-model config support
- Tool-use and function-calling workflows — register external APIs or Python functions as callable tools for structured, grounded agent responses
- Distributed agentic systems — leverage AutoGen v0.4's gRPC-based
GrpcWorkerAgentRuntimefor horizontally scalable, microservice-style agent deployments - Human-in-the-loop pipelines — configure
human_input_modeonUserProxyAgentto gate agent actions on human approval at critical decision points