head to head · open source
nanobot vs octomind
nanobot has 49,882 GitHub stars, 8,714 forks, 775 open issues and last shipped yesterday. octomind has 593 stars, 74 forks, 21 open issues and last shipped yesterday. nanobot leads on adoption by 8,312% (49,882 vs 593 stars). nanobot is written in Python under MIT; octomind is written in Rust under Apache-2.0. nanobot has attracted 17% as many forks as stars, octomind 12%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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 | octomind | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 593 |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-11-06 | 2026-11-06 |
| Forks | ⑂ 8.7K | ⑂ 74 |
| 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 octomind if
- You want the octomind feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and octomind 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 octomind
Open source coding agent harness. One Rust binary, any model, every surface. Interactive, stdin, daemon, WebSocket, or ACP — one binary, one config. A supervising model plans and checks the work. Policy lives in TOML guardrails, not approval prompts. Website · Docs · Tap Registry · Benchmarks · Issues Octomind is an open source coding agent harness. It gives any LLM the tools to work in a repository — read and edit files, run shells, search code, delegate to sub agents — through MCP, and runs the result as an interactive CLI, a stdin pipe, a daemon, a WebSocket server, or an ACP agent in your editor. Most agents…
read the full octomind overview →
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Frequently asked questions
Is nanobot or octomind more popular?
nanobot has 49,882 GitHub stars and octomind has 593. nanobot has the larger community by that measure.
Are nanobot and octomind free?
Both are open source. nanobot is licensed under MIT and octomind under Apache-2.0. Neither carries a licence fee.
What is the difference between nanobot and octomind?
nanobot is written in Python and octomind 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 octomind?
Choose nanobot if you want the larger community (49,882 stars) or its MIT licence terms. Choose octomind if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.