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AutoGen vs LangGraph

Side-by-side comparison with live GitHub signals. Last updated May 22, 2026.

A

AutoGen

Microsoft's framework for building multi-agent AI systems

OSSFree
58.3K5w ago445
L

LangGraph

LangChain's framework for building stateful agent graphs — 26K+ stars

OSSFree
32.7Ktoday273
MetricAutoGenLangGraph
GitHub Stars58.3K32.7K
Contributors445273
Last CommitApr 15, 2026May 21, 2026
Open Issues844553
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

multi-agentpython

Only in AutoGen

microsoftconversationcode-executiongroup-chat

Only in LangGraph

graphstatefullangchainpersistenceopen-source

About AutoGen

AutoGen is Microsoft's open-source framework for building multi-agent conversational systems where agents can converse with each other and with humans to solve complex tasks. Agents are highly customizable and can use LLMs, tools, and human input in flexible combinations. The framework supports group chats, nested conversations, and code execution sandboxes, making it well-suited for coding assistants, research automation, and enterprise agentic workflows. AutoGen Studio provides a no-code UI for prototyping agent systems visually.

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About LangGraph

LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.

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