head to head · open source

Langchain-Chatchat vs Claude-to-IM-skill

Langchain-Chatchat has 38,715 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. Claude-to-IM-skill has 2,903 stars, 316 forks, 100 open issues and last shipped 8 months ago. Langchain-Chatchat leads on adoption by 1,234% (38,715 vs 2,903 stars). Langchain-Chatchat is written in Python under Apache-2.0; Claude-to-IM-skill is written in TypeScript under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, Claude-to-IM-skill 11%. Claude-to-IM-skill 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.

Langchain-Chatchat ★ 39K Claude-to-IM-skill ★ 2.9K category AI & Machine Learning

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Side by side

Langchain-Chatchat Claude-to-IM-skill
GitHub stars ★ 39K ★ 2.9K
License Apache-2.0 MIT
Written in Python TypeScript
Last push 2025-11-10 2026-03-23
Forks ⑂ 6.3K ⑂ 316
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

full Langchain-Chatchat profile →

pick Claude-to-IM-skill if

  • You want the Claude-to-IM-skill feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and Claude-to-IM-skill fits your workflow better

full Claude-to-IM-skill profile →

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 Claude-to-IM-skill

Claude to IM Skill Bridge Claude Code / Codex to IM platforms — chat with AI coding agents from Telegram, Discord, Feishu/Lark, QQ, or WeChat. 中文文档 Want a desktop GUI instead? Check out CodePilot — a full featured desktop app with visual chat interface, session management, file tree preview, permission controls, and more. This skill was extracted from CodePilot's IM bridge module for users who prefer a lightweight, CLI only setup. How It Works This skill runs a background daemon that connects your IM bots to Claude Code or Codex sessions. Messages from IM are forwarded to the AI coding agent, and responses…

read the full Claude-to-IM-skill overview →

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Frequently asked questions

Is Langchain-Chatchat or Claude-to-IM-skill more popular?

Langchain-Chatchat has 38,715 GitHub stars and Claude-to-IM-skill has 2,903. Langchain-Chatchat has the larger community by that measure.

Are Langchain-Chatchat and Claude-to-IM-skill free?

Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and Claude-to-IM-skill under MIT. Neither carries a licence fee.

What is the difference between Langchain-Chatchat and Claude-to-IM-skill?

Langchain-Chatchat is written in Python and Claude-to-IM-skill 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 Claude-to-IM-skill?

Choose Langchain-Chatchat if you want the larger community (38,715 stars) or its Apache-2.0 licence terms. Choose Claude-to-IM-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.