head to head · open source
nanobot vs LLamaSharp
nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped yesterday. LLamaSharp has 3,825 stars, 517 forks, 22 open issues and last shipped yesterday. nanobot leads on adoption by 1,202% (49,806 vs 3,825 stars). nanobot is written in Python under MIT; LLamaSharp is written in C# under MIT. nanobot has attracted 17% as many forks as stars, LLamaSharp 14%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 3.8K |
| License | MIT | MIT |
| Written in | Python | C# |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 8.7K | ⑂ 517 |
| 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 LLamaSharp if
- You want the LLamaSharp feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches C#
- You evaluated both and LLamaSharp 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 LLamaSharp
LLamaSharp is a cross platform library to run 🦙LLaMA model (and others) on your local device. Based on llama.cpp, inference with LLamaSharp is efficient on both CPU and GPU. With the higher level APIs and RAG support, it's convenient to deploy LLMs (Large Language Models) in your application with LLamaSharp. Please star the repo to show your support for this project!🤗 Table of Contents Documentation Console Demo Integrations & Examples Get started FAQ Contributing Join the community Star history Contributor wall of fame Map of LLamaSharp and llama.cpp versions 📖Documentation Quick start Ask AI via deep wiki…
read the full LLamaSharp overview →
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Frequently asked questions
Is nanobot or LLamaSharp more popular?
nanobot has 49,806 GitHub stars and LLamaSharp has 3,825. nanobot has the larger community by that measure.
Are nanobot and LLamaSharp free?
Both are open source. nanobot is licensed under MIT and LLamaSharp under MIT. Neither carries a licence fee.
What is the difference between nanobot and LLamaSharp?
nanobot is written in Python and LLamaSharp in C#. 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 LLamaSharp?
Choose nanobot if you want the larger community (49,806 stars) or its MIT licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.