head to head · open source
Langchain-Chatchat vs koishi
Langchain-Chatchat has 38,714 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. koishi has 6,318 stars, 360 forks, 107 open issues and last shipped 28 days ago. Langchain-Chatchat leads on adoption by 513% (38,714 vs 6,318 stars). Langchain-Chatchat is written in Python under Apache-2.0; koishi is written in TypeScript under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, koishi 6%. koishi 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
| Langchain-Chatchat | koishi | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 6.3K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2025-11-10 | 2026-10-08 |
| Forks | ⑂ 6.3K | ⑂ 360 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langchain-Chatchat if
- You weight community size — 39K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick koishi if
- You want the koishi feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and koishi fits your workflow better
About Langchain-Chatchat
🌍 READ THIS IN ENGLISH 📃 LangChain Chatchat (原 Langchain ChatGLM) 基于 ChatGLM 等大语言模型与 Langchain 等应用框架实现，开源、可离线部署的 RAG 与 Agent 应用项目。 目录 概述 功能介绍 0.3.x 功能一览 已支持的模型推理框架与模型 快速上手 pip 安装部署 源码安装部署/开发部署 Docker 部署 项目里程碑 联系我们 概述 🤖️ 一种利用 langchain 思想实现的基于本地知识库的问答应用，目标期望建立一套对中文场景与开源模型支持友好、可离线运行的知识库问答解决方案。 💡 受 GanymedeNil 的项目 document.ai 和 AlexZhangji 创建的 ChatGLM 6B Pull Request 启发，建立了全流程可使用开源模型实现的本地知识库问答应用。本项目的最新版本中可使用 Xinference、Ollama 等框架接入 GLM 4 Chat、 Qwen2 Instruct、 Llama3 等模型，依托于 langchain 框架支持通过基于 FastAPI 提供的 API 调用服务，或使用基于 Streamlit 的 WebUI 进行操作。 ✅ 本项目支持市面上主流的开源 LLM、 Embedding 模型与向量数据库，可实现全部使用 开源 模型 离线私有部署…
read the full Langchain-Chatchat overview →
About koishi
Koishi Koishi 是一个跨平台、可扩展、高性能的聊天机器人框架。 它的名字和图标设计来源于来源于东方 Project 中的角色古明地恋 (Komeiji Koishi)。古明地恋是一个会做出无意识举动的角色，取这个名字既象征着聊天机器人的主题，也蕴含了开发者为之倾注的热爱。 特性 开箱即用 Koishi 提供了高度便利的控制台，让你无需基础让你在几分钟之内搭建自己的聊天机器人。 提供在线插件市场，即使没有任何编程基础，也能轻松在控制台中下载安装插件 支持 QQ，Telegram，Discord，飞书等主流聊天平台，支持多账户和跨平台数据互通 随时随地通过控制面板监控运行状态，控制机器人的行为，甚至上号聊天 生态丰富 经过了长达四年的迭代，Koishi 已经发展出了丰富的插件生态和与之匹配的健壮系统。超过 3000 个官方和社区插件覆盖了机器人开发的方方面面，从平台支持、数据库、资源存储、网页控制台、状态管理到具体的业务功能一应俱全。无论你的目标是构建大型交互应用还是轻量级的辅助机器人，Koishi 都为你提供了最佳实践。如果担心在复杂的功能中迷失方向，我们也准备了细致的文档来提供帮助。 专为开发者打造 Koishi 更为开发者准备了众多专业功能，使插件开发者得以在各种复杂需求中构建规模化的解决方案。 类型支持：Koishi 完全基于 TypeScript
read the full koishi overview →
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Frequently asked questions
Is Langchain-Chatchat or koishi more popular?
Langchain-Chatchat has 38,714 GitHub stars and koishi has 6,318. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and koishi free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and koishi under MIT. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and koishi?
Langchain-Chatchat is written in Python and koishi 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, Langchain-Chatchat or koishi?
Choose Langchain-Chatchat if you want the larger community (38,714 stars) or its Apache-2.0 licence terms. Choose koishi if its feature set, stack or MIT licence fits better. Both are self-hostable.