head to head · open source
Hermes Agent vs LLamaSharp
Hermes Agent has 246,618 GitHub stars, 51,659 forks, 41,784 open issues and last shipped today. LLamaSharp has 3,798 stars, 508 forks, 22 open issues and last shipped 6 days ago. Hermes Agent leads on adoption by 6,393% (246,618 vs 3,798 stars). Hermes Agent is written in Python under MIT; LLamaSharp is written in C# under MIT. Hermes Agent has attracted 21% as many forks as stars, LLamaSharp 13%. Hermes Agent 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
| Hermes Agent | LLamaSharp | |
|---|---|---|
| GitHub stars | ★ 247K | ★ 3.8K |
| License | MIT | MIT |
| Written in | Python | C# |
| Last push | 2026-09-18 | 2026-09-12 |
| Forks | ⑂ 52K | ⑂ 508 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Hermes Agent if
- You weight community size — 247K 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 Hermes Agent
Hermes Agent is a desktop AI agent developed by Nous Research that maintains persistent memory and self improving capabilities across sessions and platforms. It operates as a local first, cross platform interface for LLMs, integrating with multiple model providers and deployment environments without vendor lock in. The agent implements a closed learning loop where it curates its own memory, creates and refines skills from experience, and supports cross session recall via full text search and summarization.
read the full Hermes Agent 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 FA…
read the full LLamaSharp overview →
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Frequently asked questions
Is Hermes Agent or LLamaSharp more popular?
Hermes Agent has 246,618 GitHub stars and LLamaSharp has 3,798. Hermes Agent has the larger community by that measure.
Are Hermes Agent and LLamaSharp free?
Both are open source. Hermes Agent is licensed under MIT and LLamaSharp under MIT. Neither carries a licence fee.
What is the difference between Hermes Agent and LLamaSharp?
Hermes Agent 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, Hermes Agent or LLamaSharp?
Choose Hermes Agent if you want the larger community (246,618 stars) or its MIT licence terms. Choose LLamaSharp if its feature set, stack or MIT licence fits better. Both are self-hostable.