head to head · open source

nanobot vs openhuman

nanobot has 48,274 GitHub stars, 8,533 forks, 775 open issues and last shipped yesterday. openhuman has 39,838 stars, 3,928 forks, 189 open issues and last shipped yesterday. nanobot leads on adoption by 21% (48,274 vs 39,838 stars). nanobot is written in Python under MIT; openhuman is written in Rust under GPL-3.0. nanobot has attracted 18% as many forks as stars, openhuman 10%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, mcp), 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.

nanobot ★ 48K openhuman ★ 40K category AI & Machine Learning

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Side by side

nanobot openhuman
GitHub stars ★ 48K ★ 40K
License MIT GPL-3.0
Written in Python Rust
Last push 2026-09-17 2026-09-17
Forks ⑂ 8.5K ⑂ 3.9K
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 openhuman if

  • You want the openhuman feature set and don't need the biggest community
  • You prefer the GPL-3.0 license terms
  • Your stack matches Rust
  • You evaluated both and openhuman fits your workflow better

full openhuman 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 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 →

More in AI & Machine Learning

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

Related comparisons

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 Langchain-Chatchat nanobot vs CopilotKit

Frequently asked questions

Is nanobot or openhuman more popular?

nanobot has 48,274 GitHub stars and openhuman has 39,838. nanobot has the larger community by that measure.

Are nanobot and openhuman free?

Both are open source. nanobot is licensed under MIT and openhuman under GPL-3.0. Neither carries a licence fee.

What is the difference between nanobot and openhuman?

nanobot is written in Python and openhuman 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, nanobot or openhuman?

Choose nanobot if you want the larger community (48,274 stars) or its MIT licence terms. Choose openhuman if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.