head to head · open source
AnythingLLM vs LLamaSharp
AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. LLamaSharp has 3,825 stars, 517 forks, 22 open issues and last shipped 2 days ago. AnythingLLM leads on adoption by 1,674% (67,862 vs 3,825 stars). AnythingLLM is written in JavaScript under MIT; LLamaSharp is written in C# under MIT. AnythingLLM has attracted 11% as many forks as stars, LLamaSharp 14%. LLamaSharp was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| AnythingLLM | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 3.8K |
| License | MIT | MIT |
| Written in | JavaScript | C# |
| Last push | 2026-10-30 | 2026-11-01 |
| Forks | ⑂ 7.7K | ⑂ 517 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 68K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- 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 AnythingLLM
[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…
read the full AnythingLLM 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 AnythingLLM or LLamaSharp more popular?
AnythingLLM has 67,862 GitHub stars and LLamaSharp has 3,825. AnythingLLM has the larger community by that measure.
Are AnythingLLM and LLamaSharp free?
Both are open source. AnythingLLM is licensed under MIT and LLamaSharp under MIT. Neither carries a licence fee.
What is the difference between AnythingLLM and LLamaSharp?
AnythingLLM is written in JavaScript 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, AnythingLLM or LLamaSharp?
Choose AnythingLLM if you want the larger community (67,862 stars) or its MIT licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.