head to head · open source

OpenClaw vs screenpipe

OpenClaw has 393,747 GitHub stars, 82,755 forks, 6,671 open issues and last shipped yesterday. screenpipe has 22,209 stars, 2,263 forks, 36 open issues and last shipped yesterday. OpenClaw leads on adoption by 1,673% (393,747 vs 22,209 stars). OpenClaw is written in TypeScript under MIT; screenpipe is written in Rust under a custom or non-standard licence. OpenClaw has attracted 21% as many forks as stars, screenpipe 10%. 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.

OpenClaw ★ 394K screenpipe ★ 22K category AI & Machine Learning

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Side by side

OpenClaw screenpipe
GitHub stars ★ 394K ★ 22K
License MIT Custom / other
Written in TypeScript Rust
Last push 2026-11-02 2026-11-02
Forks ⑂ 83K ⑂ 2.3K
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

full OpenClaw profile →

pick screenpipe if

  • You want the screenpipe feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Rust
  • You evaluated both and screenpipe fits your workflow better

full screenpipe profile →

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 screenpipe

DOWNLOAD SCREENPIPE [ screenpipe YC S26 ] Screenpipe remembers how you actually work Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...) what is this? screenpipe capture all your computer work locally and power your agents remember everything never forget what you saw, heard, or did run agents that work based on what you do generate agents, skills, and automations based on what you do search with ai find anything using natural language 100% local your data lives on your machine only source available inspect, modify, audit (LICENSE.md) company…

read the full screenpipe overview →

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Frequently asked questions

Is OpenClaw or screenpipe more popular?

OpenClaw has 393,747 GitHub stars and screenpipe has 22,209. OpenClaw has the larger community by that measure.

Are OpenClaw and screenpipe free?

Both are open source. OpenClaw is licensed under MIT, and screenpipe has no licence declared in this registry. Both are free to self-host.

What is the difference between OpenClaw and screenpipe ?

OpenClaw is written in TypeScript and screenpipe in Rust. 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 screenpipe ?

Choose OpenClaw if you want the larger community (393,747 stars) or its MIT licence terms. Choose screenpipe if its feature set, stack or Custom / other licence fits better. Both are self-hostable.