head to head · open source
OpenClaw vs LLamaSharp
OpenClaw has 393,747 GitHub stars, 82,755 forks, 6,671 open issues and last shipped yesterday. LLamaSharp has 3,825 stars, 517 forks, 22 open issues and last shipped 2 days ago. OpenClaw leads on adoption by 10,194% (393,747 vs 3,825 stars). OpenClaw is written in TypeScript under MIT; LLamaSharp is written in C# under MIT. OpenClaw has attracted 21% as many forks as stars, LLamaSharp 14%. OpenClaw was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| OpenClaw | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 394K | ★ 3.8K |
| License | MIT | MIT |
| Written in | TypeScript | C# |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 83K | ⑂ 517 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick OpenClaw if
- You weight community size — 394K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- 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 OpenClaw
OpenClaw 🦞 — Your assistant, on your devices, in your chats OpenClaw is an open source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux. One Gateway runs it as a personal assistant on a laptop or as a shared team deployment; configuration is the only difference. Yours, with no catch. State, memory, and credentials live on your hardware. Models and agent harnesses (Claude, Codex, local models) are plugins you can swap without changing anything…
read the full OpenClaw 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 OpenClaw or LLamaSharp more popular?
OpenClaw has 393,747 GitHub stars and LLamaSharp has 3,825. OpenClaw has the larger community by that measure.
Are OpenClaw and LLamaSharp free?
Both are open source. OpenClaw is licensed under MIT and LLamaSharp under MIT. Neither carries a licence fee.
What is the difference between OpenClaw and LLamaSharp?
OpenClaw is written in TypeScript 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, OpenClaw or LLamaSharp?
Choose OpenClaw if you want the larger community (393,747 stars) or its MIT licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.