head to head · open source
Hermes Agent vs h2o-llmstudio
Hermes Agent has 259,804 GitHub stars, 57,202 forks, 41,784 open issues and last shipped yesterday. h2o-llmstudio has 5,191 stars, 556 forks, 36 open issues and last shipped 7 days ago. Hermes Agent leads on adoption by 4,905% (259,804 vs 5,191 stars). Hermes Agent is written in Python under MIT; h2o-llmstudio is written in Python under Apache-2.0. Hermes Agent has attracted 22% as many forks as stars, h2o-llmstudio 11%. Hermes Agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, chatgpt, 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 | h2o-llmstudio | |
|---|---|---|
| GitHub stars | ★ 260K | ★ 5.2K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-27 |
| Forks | ⑂ 57K | ⑂ 556 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Hermes Agent if
- You weight community size — 260K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick h2o-llmstudio if
- You want the h2o-llmstudio feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and h2o-llmstudio fits your workflow better
About Hermes Agent
Hermes Agent ☤ Hermes Agent Hermes Desktop The self improving AI agent built by Nous Research. It's the only agent with a built in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM. Use any model you want — Nous Portal, OpenRouter, OpenAI, your own endpoint, and many…
read the full Hermes Agent overview →
About h2o-llmstudio
Welcome to H2O LLM Studio, a framework and no code GUI designed for fine tuning state of the art large language models (LLMs). Jump to With H2O LLM Studio, you can Quickstart What's New Setup Recommended Install Virtual Environments Run H2O LLM Studio GUI Run H2O LLM Studio GUI using Docker Run H2O LLM Studio with command line interface (CLI) Troubleshooting Data format and example data Training your model Example: Run on OASST data via CLI Model checkpoints Documentation Contributing License With H2O LLM Studio, you can easily and effectively fine tune LLMs without the need for any coding experience . use a…
read the full h2o-llmstudio overview →
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Frequently asked questions
Is Hermes Agent or h2o-llmstudio more popular?
Hermes Agent has 259,804 GitHub stars and h2o-llmstudio has 5,191. Hermes Agent has the larger community by that measure.
Are Hermes Agent and h2o-llmstudio free?
Both are open source. Hermes Agent is licensed under MIT and h2o-llmstudio under Apache-2.0. Neither carries a licence fee.
What is the difference between Hermes Agent and h2o-llmstudio?
Hermes Agent is written in Python and h2o-llmstudio in Python. 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 h2o-llmstudio?
Choose Hermes Agent if you want the larger community (259,804 stars) or its MIT licence terms. Choose h2o-llmstudio if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.