head to head · open source
Hermes Agent vs DeepAnalyze
Hermes Agent has 259,804 GitHub stars, 57,202 forks, 41,784 open issues and last shipped yesterday. DeepAnalyze has 4,769 stars, 751 forks, 27 open issues and last shipped yesterday. Hermes Agent leads on adoption by 5,348% (259,804 vs 4,769 stars). Hermes Agent is written in Python under MIT; DeepAnalyze is written in Python under MIT. Hermes Agent has attracted 22% as many forks as stars, DeepAnalyze 16%. 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 (ai), 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 | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 260K | ★ 4.8K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 57K | ⑂ 751 |
| 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 DeepAnalyze if
- You want the DeepAnalyze feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DeepAnalyze 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 DeepAnalyze
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science Authors : Shaolei Zhang, Ju Fan , Meihao Fan, Guoliang Li, Xiaoyong Du Renmin University of China, Tsinghua University DeepAnalyze is the first agentic LLM for autonomous data science. It can autonomously complete a wide range of data centric tasks without human intervention, supporting: 🛠 Entire data science pipeline : Automatically perform any data science tasks such as data preparation, analysis, modeling, visualization, and report generation. 🔍 Open ended data research : Conduct deep research on diverse data sources, including…
read the full DeepAnalyze overview →
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Frequently asked questions
Is Hermes Agent or DeepAnalyze more popular?
Hermes Agent has 259,804 GitHub stars and DeepAnalyze has 4,769. Hermes Agent has the larger community by that measure.
Are Hermes Agent and DeepAnalyze free?
Both are open source. Hermes Agent is licensed under MIT and DeepAnalyze under MIT. Neither carries a licence fee.
What is the difference between Hermes Agent and DeepAnalyze?
Hermes Agent is written in Python and DeepAnalyze 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 DeepAnalyze?
Choose Hermes Agent if you want the larger community (259,804 stars) or its MIT licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.