Autonomous Agents · Head-to-head
Hermes Agent vs ragflow
Hermes Agent and ragflow are both autonomous agents. Hermes Agent is Nous Research's self-improving AI agent that builds skills from experience and remembers you across sessions, while ragflow is rAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. Here's an independent, side-by-side look at how they compare — and which fits.
Nous Research's self-improving AI agent that builds skills from experience and remembers you across sessions.
Visit Hermes Agent →
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Visit ragflow →Hermes Agent and ragflow are both open-source autonomous agents you can self-host for free. Hermes Agent has wider GitHub adoption — 248k stars vs 91k. Neither is universally better — pick by fit.
Side by side
| Spec | Hermes Agent | ragflow |
|---|---|---|
| Type | Agent | Platform |
| Model | Open source | Open source |
| Pricing | Open source | Open source |
| GitHub stars | 248,225 | 91,197 |
| Language | Python | Go |
| License | MIT | Apache-2.0 |
| Last activity | Sep 2026 | Sep 2026 |
Key differences
- Hermes Agent has wider GitHub adoption — 248k stars vs 91k.
- Hermes Agent is written primarily in Python; ragflow in Go.
- Licensing differs: Hermes Agent is MIT, ragflow is Apache-2.0.
People who want a persistent personal agent on their own server that improves the more it is used.
Production RAG over complex documents with agent capabilities, self-hosted.
About Hermes Agent
Hermes Agent, built by Nous Research, is a general-purpose AI agent with a built-in learning loop: it creates skills from experience, improves them in use, persists knowledge, searches its own past conversations and builds a model of the user across sessions. It works with any model provider, including Nous Portal, OpenRouter, OpenAI or your own endpoint, and runs on anything from a small VPS to serverless infrastructure, reachable from messaging apps such as Telegram.
Full Hermes Agent profile →About ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Full ragflow profile →Frequently asked
- What's the main difference between Hermes Agent and ragflow?
- Hermes Agent has wider GitHub adoption — 248k stars vs 91k.
- Is Hermes Agent or ragflow better?
- Neither is universally better. Hermes Agent is the stronger fit for People who want a persistent personal agent on their own server that improves the more it is used; ragflow for Production RAG over complex documents with agent capabilities, self-hosted. Use the side-by-side specs to decide by your own constraints.
- Is Hermes Agent or ragflow free?
- Hermes Agent is free to run and self-host; ragflow is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.
- Which is more popular, Hermes Agent or ragflow?
- By GitHub stars — a proxy for open-source adoption — Hermes Agent is ahead (248k vs 91k). Stars measure attention, not necessarily the better fit for you.
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