head to head · open source
AnythingLLM vs screenpipe
AnythingLLM has 66,141 GitHub stars, 7,347 forks, 311 open issues and last shipped yesterday. screenpipe has 21,609 stars, 2,203 forks, 36 open issues and last shipped yesterday. AnythingLLM leads on adoption by 206% (66,141 vs 21,609 stars). AnythingLLM is written in JavaScript under MIT; screenpipe is written in TypeScript under a custom or non-standard licence. AnythingLLM has attracted 11% 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 3 topic tags (hermes-agent, llm, local-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.
← all 8884 open source comparisons
Side by side
| AnythingLLM | screenpipe | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 22K |
| License | MIT | Custom / other |
| Written in | JavaScript | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 7.3K | ⑂ 2.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 66K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
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
About AnythingLLM
AnythingLLM is a local first AI application that enables users to chat with their documents using any large language model (LLM), local or cloud hosted. It runs as a self hosted service—by default in Docker—and provides a complete interface for document ingestion, agent orchestration, multi user access, and workflow automation without requiring external cloud dependencies. The project lives in the local AI and AI interaction ecosystem, targeting users who want full control over their data and model selection.
read the full AnythingLLM 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
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is AnythingLLM or screenpipe more popular?
AnythingLLM has 66,141 GitHub stars and screenpipe has 21,609. AnythingLLM has the larger community by that measure.
Are AnythingLLM and screenpipe free?
Both are open source. AnythingLLM is licensed under MIT, and screenpipe has no licence declared in this registry. Both are free to self-host.
What is the difference between AnythingLLM and screenpipe ?
AnythingLLM is written in JavaScript 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, AnythingLLM or screenpipe ?
Choose AnythingLLM if you want the larger community (66,141 stars) or its MIT licence terms. Choose screenpipe if its feature set, stack or Custom / other licence fits better. Both are self-hostable.