head to head · open source
Hermes Agent vs DeepAnalyze
Hermes Agent has 246,618 GitHub stars, 51,659 forks, 41,784 open issues and last shipped today. DeepAnalyze has 4,636 stars, 735 forks, 27 open issues and last shipped 7 days ago. Hermes Agent leads on adoption by 5,220% (246,618 vs 4,636 stars). Hermes Agent is written in Python under MIT; DeepAnalyze is written in Python under MIT. Hermes Agent has attracted 21% 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 | ★ 247K | ★ 4.6K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-11 |
| Forks | ⑂ 52K | ⑂ 735 |
| 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 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 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 DeepAnalyze
DeepAnalyze is an open source agentic large language model that autonomously carries out data science work — data preparation, analysis, modeling, visualization, and report generation — for data analysts, researchers, and engineering teams that want to run those pipelines on their own infrastructure instead of through a hosted assistant.
read the full DeepAnalyze overview →
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Frequently asked questions
Is Hermes Agent or DeepAnalyze more popular?
Hermes Agent has 246,618 GitHub stars and DeepAnalyze has 4,636. 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 (246,618 stars) or its MIT licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.