head to head · open source
OpenClaw vs langgraph
OpenClaw has 393,747 GitHub stars, 82,755 forks, 6,671 open issues and last shipped yesterday. langgraph has 44,336 stars, 7,622 forks, 786 open issues and last shipped yesterday. OpenClaw leads on adoption by 788% (393,747 vs 44,336 stars). OpenClaw is written in TypeScript under MIT; langgraph is written in Python under MIT. OpenClaw has attracted 21% as many forks as stars, langgraph 17%. OpenClaw was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| OpenClaw | langgraph | |
|---|---|---|
| GitHub stars | ★ 394K | ★ 44K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 83K | ⑂ 7.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick OpenClaw if
- You weight community size — 394K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph fits your workflow better
About OpenClaw
OpenClaw 🦞 — Your assistant, on your devices, in your chats OpenClaw is an open source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux. One Gateway runs it as a personal assistant on a laptop or as a shared team deployment; configuration is the only difference. Yours, with no catch. State, memory, and credentials live on your hardware. Models and agent harnesses (Claude, Codex, local models) are plugins you can swap without changing anything…
read the full OpenClaw overview →
About langgraph
Low level orchestration framework for building stateful agents. 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. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…
read the full langgraph overview →
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Frequently asked questions
Is OpenClaw or langgraph more popular?
OpenClaw has 393,747 GitHub stars and langgraph has 44,336. OpenClaw has the larger community by that measure.
Are OpenClaw and langgraph free?
Both are open source. OpenClaw is licensed under MIT and langgraph under MIT. Neither carries a licence fee.
What is the difference between OpenClaw and langgraph?
OpenClaw is written in TypeScript and langgraph in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, OpenClaw or langgraph?
Choose OpenClaw if you want the larger community (393,747 stars) or its MIT licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.