head to head · open source

nanobot vs gptme

nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. gptme has 4,420 stars, 432 forks, 18 open issues and last shipped today. nanobot leads on adoption by 994% (48,372 vs 4,420 stars). nanobot is written in Python under MIT; gptme is written in Python under MIT. nanobot has attracted 18% as many forks as stars, gptme 10%. gptme 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, chatbot), 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 gptme ★ 4.4K category AI & Machine Learning

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Side by side

nanobot gptme
GitHub stars ★ 48K ★ 4.4K
License MIT MIT
Written in Python Python
Last push 2026-09-20 2026-09-20
Forks ⑂ 8.5K ⑂ 432
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 gptme if

  • You want the gptme feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and gptme fits your workflow better

full gptme 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 gptme

gptme is a free and open source, provider agnostic AI agent that runs in any terminal — on a laptop, over SSH, in tmux, on headless servers, or in CI pipelines — and is aimed at developers and knowledge workers who want a local first coding and automation assistant they can extend into persistent autonomous agents.

read the full gptme overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

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 ComfyUI nanobot vs odysseus nanobot vs LobeChat nanobot vs AnythingLLM nanobot vs Cherry Studio nanobot vs Jan nanobot vs LibreChat nanobot vs chatbox nanobot vs AstrBot

Frequently asked questions

Is nanobot or gptme more popular?

nanobot has 48,372 GitHub stars and gptme has 4,420. nanobot has the larger community by that measure.

Are nanobot and gptme free?

Both are open source. nanobot is licensed under MIT and gptme under MIT. Neither carries a licence fee.

What is the difference between nanobot and gptme?

nanobot is written in Python and gptme in Python. 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 gptme?

Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose gptme if its feature set, stack or MIT licence fits better. Both are self-hostable.