# langchain-ai/langgraph

> Build resilient agents.

- GitHub: https://github.com/langchain-ai/langgraph
- Website: https://docs.langchain.com/oss/python/langgraph/
- Category: AI Agents (https://ideas.asveas.com/c/ai-agents)
- Tags: ai-agents, ai, chatgpt, deepagents, enterprise, framework, gemini, generative-ai, langchain, langgraph, llm, multiagent, openai, pydantic
- Language: Python · License: MIT
- Stars: 44,803 · Forks: 7,716 · Open issues: 477
- Last push: 2026-11-11 (today)
- Vibe score: 92/100

## What it is
Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.

## When to use it
Reach for langgraph when you want an LLM to plan, call tools, browse, or coordinate with other agents instead of answering a single prompt — it's written in Python and fits stacks tagged ai-agents, ai, chatgpt, deepagents.

## Maintenance
langchain-ai/langgraph looks very actively maintained: the last push was today (2026-11-11), with 44,803 stars and 477 open issues.

## Quick start
```bash
git clone https://github.com/langchain-ai/langgraph.git
```

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Source: https://ideas.asveas.com/r/langchain-ai/langgraph · Catalog: https://ideas.asveas.com/llms.txt