head to head · open source
Hermes Agent vs llm-workflow-engine
Hermes Agent has 259,804 GitHub stars, 57,202 forks, 41,784 open issues and last shipped yesterday. llm-workflow-engine has 3,717 stars, 461 forks, 3 open issues and last shipped yesterday. Hermes Agent leads on adoption by 6,890% (259,804 vs 3,717 stars). Hermes Agent is written in Python under MIT; llm-workflow-engine is written in Python under MIT. Hermes Agent has attracted 22% as many forks as stars, llm-workflow-engine 12%. Hermes Agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (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 | llm-workflow-engine | |
|---|---|---|
| GitHub stars | ★ 260K | ★ 3.7K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 57K | ⑂ 461 |
| 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 llm-workflow-engine if
- You want the llm-workflow-engine feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and llm-workflow-engine 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 llm-workflow-engine
LLM Workflow Engine LLM Workflow Engine (LWE) is a Power CLI and Workflow manager for LLMs. Read the documentation WATCH INTRO VIDEO Welcome! What would you like to do? Learn about the project Install LWE Learn how to use it Read the documentation Learn more about configuration/features Troubleshoot common issues Upgrade LWE Using GPT4 Report a bug Get support What happend to the original ChatGPT Wrapper project? See CHATGPT WRAPPER.md ChatGPT Wrapper was an amazing tool for its time, thank you to its original creator mmabrouk for all your hard work, it lives on in a new form :) Highlights 🤖 LWE lets you use…
read the full llm-workflow-engine overview →
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Frequently asked questions
Is Hermes Agent or llm-workflow-engine more popular?
Hermes Agent has 259,804 GitHub stars and llm-workflow-engine has 3,717. Hermes Agent has the larger community by that measure.
Are Hermes Agent and llm-workflow-engine free?
Both are open source. Hermes Agent is licensed under MIT and llm-workflow-engine under MIT. Neither carries a licence fee.
What is the difference between Hermes Agent and llm-workflow-engine?
Hermes Agent is written in Python and llm-workflow-engine 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 llm-workflow-engine?
Choose Hermes Agent if you want the larger community (259,804 stars) or its MIT licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.