head to head · open source
LobeChat vs LLamaSharp
LobeChat has 83,716 GitHub stars, 16,033 forks, 922 open issues and last shipped yesterday. LLamaSharp has 3,825 stars, 517 forks, 22 open issues and last shipped 2 days ago. LobeChat leads on adoption by 2,089% (83,716 vs 3,825 stars). LobeChat is written in TypeScript under a custom or non-standard licence; LLamaSharp is written in C# under MIT. LobeChat has attracted 19% as many forks as stars, LLamaSharp 14%. LobeChat 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
| LobeChat | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 3.8K |
| License | Custom / other | MIT |
| Written in | TypeScript | C# |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 16K | ⑂ 517 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 84K stars and counting
- You want the Custom / other 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 LobeChat
[![][image banner]][vercel link] LobeHub LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online. English · 简体中文 · [Official Site][official site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github issues link] [![][github release shield]][github release link] [![][docker release shield]][docker release link] [![][vercel shield]][vercel link] [![][discord shield]][discord link] [![][codecov shield]][codecov link] [![][github action test shield]][github action test link] [![][github action…
read the full LobeChat 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 LobeChat or LLamaSharp more popular?
LobeChat has 83,716 GitHub stars and LLamaSharp has 3,825. LobeChat has the larger community by that measure.
Are LobeChat and LLamaSharp free?
Both are open source. LobeChat has no licence declared in this registry, and LLamaSharp is licensed under MIT. Both are free to self-host.
What is the difference between LobeChat and LLamaSharp?
LobeChat 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, LobeChat or LLamaSharp?
Choose LobeChat if you want the larger community (83,716 stars) or its Custom / other licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.