LangChain vs AutoGen
Compare LangChain and AutoGen on deployment, pricing, model support, and more.
LangChain
- Tagline
- Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars
- Description
- LangChain is the most widely used open-source framework for building LLM-powered applications. It provides composable abstractions for chains (sequencing LLM calls), agents (tool-using AI that can browse, run code, and call APIs), and RAG (retrieval-augmented generation with 700+ data and tool integrations). Available in Python and JavaScript, with LangSmith for observability and LangGraph for complex multi-agent workflows.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 146,114 GitHub stars (source)
- Link
- Visit
AutoGen
- Tagline
- Microsoft's open-source framework for conversational multi-agent AI systems
- Description
- AutoGen is Microsoft Research's open-source framework for building multi-agent AI workflows. Agents communicate via conversation, can use tools, execute code, and collaborate to complete complex tasks. AutoGen 0.4 introduced a new event-driven architecture (AutoGen Studio, AgentChat) for production-grade agent systems.
- Category
- Agents
- Pricing
- Free
- Metric
- 60,935 GitHub stars (source)
- Link
- Visit
| Attribute | LangChain | AutoGen |
|---|---|---|
| Tagline | Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars | Microsoft's open-source framework for conversational multi-agent AI systems |
| Category | LLM Frameworks | Agents |
| Pricing | Free | Free |
| Description | LangChain is the most widely used open-source framework for building LLM-powered applications. It provides composable abstractions for chains (sequencing LLM calls), agents (tool-using AI that can browse, run code, and call APIs), and RAG (retrieval-augmented generation with 700+ data and tool integrations). Available in Python and JavaScript, with LangSmith for observability and LangGraph for complex multi-agent workflows. | AutoGen is Microsoft Research's open-source framework for building multi-agent AI workflows. Agents communicate via conversation, can use tools, execute code, and collaborate to complete complex tasks. AutoGen 0.4 introduced a new event-driven architecture (AutoGen Studio, AgentChat) for production-grade agent systems. |
| Metric | 146,114 GitHub stars (source) | 60,935 GitHub stars (source) |
| Link | Visit | Visit |