head to head · open source
Hermes Agent vs Langchain-Chatchat
Hermes Agent has 246,492 GitHub stars, 51,615 forks, 41,784 open issues and last shipped yesterday. Langchain-Chatchat has 38,641 stars, 6,263 forks, 26 open issues and last shipped 10 months ago. Hermes Agent leads on adoption by 538% (246,492 vs 38,641 stars). Hermes Agent is written in Python under MIT; Langchain-Chatchat is written in Python under Apache-2.0. Hermes Agent has attracted 21% as many forks as stars, Langchain-Chatchat 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 (chatgpt), 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 | Langchain-Chatchat | |
|---|---|---|
| GitHub stars | ★ 246K | ★ 39K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2025-11-10 |
| Forks | ⑂ 52K | ⑂ 6.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Hermes Agent if
- You weight community size — 246K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Langchain-Chatchat if
- You want the Langchain-Chatchat feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Langchain-Chatchat 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 Langchain-Chatchat
Langchain Chatchat (formerly Langchain ChatGLM) is an open source RAG and Agent application built on the Langchain framework and designed to run against local large language models such as ChatGLM, Qwen, and Llama. It lives in the Python ecosystem, is distributed under the Apache 2.0 license, and is published on PyPI as langchain chatchat . The project targets Chinese language scenarios and open source models specifically, with the stated goal of providing a knowledge base question answering solution that can run entirely offline.
read the full Langchain-Chatchat overview →
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Frequently asked questions
Is Hermes Agent or Langchain-Chatchat more popular?
Hermes Agent has 246,492 GitHub stars and Langchain-Chatchat has 38,641. Hermes Agent has the larger community by that measure.
Are Hermes Agent and Langchain-Chatchat free?
Both are open source. Hermes Agent is licensed under MIT and Langchain-Chatchat under Apache-2.0. Neither carries a licence fee.
What is the difference between Hermes Agent and Langchain-Chatchat?
Hermes Agent is written in Python and Langchain-Chatchat 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 Langchain-Chatchat?
Choose Hermes Agent if you want the larger community (246,492 stars) or its MIT licence terms. Choose Langchain-Chatchat if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.