head to head · open source
nanobot vs gptme
nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped yesterday. gptme has 4,469 stars, 467 forks, 18 open issues and last shipped 2 days ago. nanobot leads on adoption by 1,014% (49,806 vs 4,469 stars). nanobot is written in Python under MIT; gptme is written in Python under MIT. nanobot has attracted 17% as many forks as stars, gptme 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, 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.
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Side by side
| nanobot | gptme | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 4.5K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 8.7K | ⑂ 467 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About nanobot
English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…
read the full nanobot overview →
About gptme
gptme /ʤiː piː tiː miː/ what does it stand for? Getting Started • Downloads • Website • Documentation 📜 A personal AI agent that runs anywhere a terminal runs — your laptop, ssh sessions, tmux, headless servers, CI pipelines. Provider agnostic, local first, and unconstrained: ships with shell, Python, web, vision, and everything else an agent needs. A great coding agent, but general purpose enough to assist in all kinds of knowledge work. Free and open source. Works with Anthropic, OpenAI, Google, xAI, DeepSeek, OpenRouter, or fully local via llama.cpp — your data, your models, your terminal. A capable…
read the full gptme overview →
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Frequently asked questions
Is nanobot or gptme more popular?
nanobot has 49,806 GitHub stars and gptme has 4,469. 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 (49,806 stars) or its MIT licence terms. Choose gptme if its feature set, stack or MIT licence fits better. Both are self-hostable.