head to head · open source

openhuman vs screenpipe

openhuman has 39,838 GitHub stars, 3,928 forks, 189 open issues and last shipped yesterday. screenpipe has 21,609 stars, 2,203 forks, 36 open issues and last shipped yesterday. openhuman leads on adoption by 84% (39,838 vs 21,609 stars). openhuman is written in Rust under GPL-3.0; screenpipe is written in TypeScript under a custom or non-standard licence. openhuman has attracted 10% as many forks as stars, screenpipe 10%. screenpipe was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm, local-first), 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.

openhuman ★ 40K screenpipe ★ 22K category AI & Machine Learning

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Side by side

openhuman screenpipe
GitHub stars ★ 40K ★ 22K
License GPL-3.0 Custom / other
Written in Rust TypeScript
Last push 2026-09-17 2026-09-17
Forks ⑂ 3.9K ⑂ 2.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick openhuman if

  • You weight community size — 40K stars and counting
  • You want the GPL-3.0 license terms
  • Your stack matches Rust
  • You value the larger contributor base for long-term maintenance

full openhuman 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 TypeScript
  • You evaluated both and screenpipe fits your workflow better

full screenpipe profile →

About openhuman

OpenHuman is an open source, GPL 3.0 licensed agent harness written in Rust and shipped as a Tauri desktop application, aimed at individuals who want a personal AI assistant whose memory, orchestration, and research tooling run local first on their own machine.

read the full openhuman overview →

About screenpipe

Screenpipe is a source available Rust application that continuously records a computer's screen and audio, then turns that local history into searchable context for AI agents. It lives in the AI and machine learning ecosystem, covering local first memory, computer vision, audio recording, and agent interfaces.

read the full screenpipe overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

openhuman vs OpenClaw openhuman vs Hermes Agent openhuman vs Open WebUI openhuman vs LobeChat openhuman vs AnythingLLM openhuman vs Cherry Studio openhuman vs nanobot openhuman vs Jan openhuman vs LibreChat openhuman vs chatbox openhuman vs AstrBot openhuman vs Langchain-Chatchat

Frequently asked questions

Is openhuman or screenpipe more popular?

openhuman has 39,838 GitHub stars and screenpipe has 21,609. openhuman has the larger community by that measure.

Are openhuman and screenpipe free?

Both are open source. openhuman is licensed under GPL-3.0, and screenpipe has no licence declared in this registry. Both are free to self-host.

What is the difference between openhuman and screenpipe ?

openhuman is written in Rust and screenpipe in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, openhuman or screenpipe ?

Choose openhuman if you want the larger community (39,838 stars) or its GPL-3.0 licence terms. Choose screenpipe if its feature set, stack or Custom / other licence fits better. Both are self-hostable.