head to head · open source

nanobot vs screenpipe

nanobot has 48,274 GitHub stars, 8,533 forks, 775 open issues and last shipped yesterday. screenpipe has 21,609 stars, 2,203 forks, 36 open issues and last shipped yesterday. nanobot leads on adoption by 123% (48,274 vs 21,609 stars). nanobot is written in Python under MIT; screenpipe is written in TypeScript under a custom or non-standard licence. nanobot has attracted 18% 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.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

nanobot ★ 48K screenpipe ★ 22K category AI & Machine Learning

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Side by side

nanobot screenpipe
GitHub stars ★ 48K ★ 22K
License MIT Custom / other
Written in Python TypeScript
Last push 2026-09-17 2026-09-17
Forks ⑂ 8.5K ⑂ 2.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick nanobot if

  • You weight community size — 48K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full nanobot 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 nanobot

nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python, aimed at individual developers and small teams who want to run their own agent through a browser WebUI, a terminal, or chat apps instead of renting a hosted assistant.

read the full nanobot 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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openclaw vs nanobot openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

More AI Interaction & Interfaces projects

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

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

Frequently asked questions

Is nanobot or screenpipe more popular?

nanobot has 48,274 GitHub stars and screenpipe has 21,609. nanobot has the larger community by that measure.

Are nanobot and screenpipe free?

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

What is the difference between nanobot and screenpipe ?

nanobot is written in Python 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, nanobot or screenpipe ?

Choose nanobot if you want the larger community (48,274 stars) or its MIT licence terms. Choose screenpipe if its feature set, stack or Custom / other licence fits better. Both are self-hostable.