LangGraph
LangChain's graph-based framework for building stateful multi-agent applications.
LangGraph is LangChain's graph-based framework for building stateful multi-agent applications. Uses a graph-based architecture with nodes and edges to define stateful agent workflows.
What it does well
- Uses a graph-based architecture with nodes and edges to define stateful agent workflows.
- Provides built-in state persistence and checkpointing for long-running agent executions.
- Open source framework available in both Python and JavaScript/TypeScript.
- Integrates with the broader LangChain ecosystem including models, tools, and retrievers.
Where it falls short
- Requires understanding of graph-based programming concepts, which adds complexity for beginners.
- Advanced deployment features such as LangGraph Platform require a paid subscription.
- Debugging complex multi-agent graphs can be challenging without dedicated observability tooling.
Tagged
- Self-hostable
- Supports Claude
- Supports GPT
- Supports Gemini
- CLI
- Agentic Mode
- Freemium
- Open Source
Compared with similar things
Picked by shared tags inside the AI Agents (non-coding).
- 01Freemium →Skyvern
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- 02Free →Stagehand
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- 03Freemium →GitHub Copilot
GitHub's AI pair programmer with chat, inline completions, and agent mode across major IDEs.
- 04Freemium →OpenHands
Open-source autonomous coding agent platform, formerly OpenDevin, by All Hands AI.
- 05Free →Aider
Open-source CLI coding agent that pair-programs in your terminal and commits to git automatically.
- 06Free →BabyAGI
Minimal task-driven autonomous agent in ~100 lines of Python — a foundational reference implementation.
Frequently asked questions
- What is LangGraph?
- LangGraph is LangChain's graph-based framework for building stateful multi-agent applications.
- Is LangGraph free?
- LangGraph offers a free tier and paid plans with higher limits or premium features.
- What platforms does LangGraph support?
- LangGraph runs on mac, win, linux, cli.
- What category does LangGraph belong to?
- LangGraph is in the AI Agents (non-coding) category — Autonomous agents for research, customer support, sales, scheduling, and other non-coding tasks.
- What are the downsides of LangGraph?
- Requires understanding of graph-based programming concepts, which adds complexity for beginners. Advanced deployment features such as LangGraph Platform require a paid subscription. Debugging complex multi-agent graphs can be challenging without dedicated observability tooling.