head to head · open source
Hermes Agent vs deepchat
Hermes Agent has 259,804 GitHub stars, 57,202 forks, 41,784 open issues and last shipped yesterday. deepchat has 6,385 stars, 770 forks, 8 open issues and last shipped yesterday. Hermes Agent leads on adoption by 3,969% (259,804 vs 6,385 stars). Hermes Agent is written in Python under MIT; deepchat is written in TypeScript under Apache-2.0. Hermes Agent has attracted 22% as many forks as stars, deepchat 12%. 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, claude), 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 | deepchat | |
|---|---|---|
| GitHub stars | ★ 260K | ★ 6.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 57K | ⑂ 770 |
| 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 deepchat if
- You want the deepchat feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and deepchat 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 deepchat
DeepChat Open Source Local First AI Agent Desktop Client DeepChat is an open source, local first AI agent desktop client with rich agent capabilities, designed around the Tape.systems philosophy, with support for MCP, Skills, ACP, and remote control integrations for messaging apps. 中文 / English / 日本語 ❤️ Sponsor Thanks to APIMart for sponsoring this project! APIMart is a low cost API platform for AI image & video generation — GPT Image 2 from $0.006/image, 160+ images per dollar. One async API covers both image and video: submit a task, get an ID, fetch results via polling or callback. Batch tens of thousands of…
read the full deepchat overview →
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Frequently asked questions
Is Hermes Agent or deepchat more popular?
Hermes Agent has 259,804 GitHub stars and deepchat has 6,385. Hermes Agent has the larger community by that measure.
Are Hermes Agent and deepchat free?
Both are open source. Hermes Agent is licensed under MIT and deepchat under Apache-2.0. Neither carries a licence fee.
What is the difference between Hermes Agent and deepchat?
Hermes Agent is written in Python and deepchat in TypeScript. 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 deepchat?
Choose Hermes Agent if you want the larger community (259,804 stars) or its MIT licence terms. Choose deepchat if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.