head to head · open source
nanobot vs Langchain-Chatchat
nanobot has 48,274 GitHub stars, 8,533 forks, 775 open issues and last shipped yesterday. Langchain-Chatchat has 38,641 stars, 6,263 forks, 26 open issues and last shipped 10 months ago. nanobot leads on adoption by 25% (48,274 vs 38,641 stars). nanobot is written in Python under MIT; Langchain-Chatchat is written in Python under Apache-2.0. nanobot has attracted 18% as many forks as stars, Langchain-Chatchat 16%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), 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
| nanobot | Langchain-Chatchat | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 39K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2025-11-10 |
| Forks | ⑂ 8.5K | ⑂ 6.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 48K 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 nanobot
nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python, aimed at individual developers and small teams who want to run their own agent through a browser WebUI, a terminal, or chat apps instead of renting a hosted assistant.
read the full nanobot 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 nanobot or Langchain-Chatchat more popular?
nanobot has 48,274 GitHub stars and Langchain-Chatchat has 38,641. nanobot has the larger community by that measure.
Are nanobot and Langchain-Chatchat free?
Both are open source. nanobot is licensed under MIT and Langchain-Chatchat under Apache-2.0. Neither carries a licence fee.
What is the difference between nanobot and Langchain-Chatchat?
nanobot 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, nanobot or Langchain-Chatchat?
Choose nanobot if you want the larger community (48,274 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.