head to head · open source
odysseus vs LLamaSharp
odysseus has 94,935 GitHub stars, 1,862 forks, 1,233 open issues and last shipped yesterday. LLamaSharp has 3,825 stars, 517 forks, 22 open issues and last shipped 2 days ago. odysseus leads on adoption by 2,382% (94,935 vs 3,825 stars). odysseus is written in Python under AGPL-3.0; LLamaSharp is written in C# under MIT. odysseus has attracted 2% as many forks as stars, LLamaSharp 14%. odysseus 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
| odysseus | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 95K | ★ 3.8K |
| License | AGPL-3.0 | MIT |
| Written in | Python | C# |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 1.9K | ⑂ 517 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick odysseus if
- You weight community size — 95K stars and counting
- You want the AGPL-3.0 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 odysseus
A self hosted AI workspace for chat, agents, research, documents, email, notes, calendar, and local model workflows. Quick Start · Setup Guide · Contributing · Roadmap Quick Start dev is the default branch and gets the newest changes first. Use main if you want the more curated branch. Open when the containers are healthy. The first admin password is printed in docker compose logs odysseus . Native installs, GPU notes, Windows/macOS instructions, HTTPS, and configuration live in the setup guide. Features Chat + Agents — local/API models, tools, MCP, files, shell, skills, and memory. Cookbook — hardware aware…
read the full odysseus 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 odysseus or LLamaSharp more popular?
odysseus has 94,935 GitHub stars and LLamaSharp has 3,825. odysseus has the larger community by that measure.
Are odysseus and LLamaSharp free?
Both are open source. odysseus is licensed under AGPL-3.0 and LLamaSharp under MIT. Neither carries a licence fee.
What is the difference between odysseus and LLamaSharp?
odysseus 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, odysseus or LLamaSharp?
Choose odysseus if you want the larger community (94,935 stars) or its AGPL-3.0 licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.