head to head · open source
Langchain-Chatchat vs hope-agent
Langchain-Chatchat has 38,715 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. hope-agent has 1,858 stars, 168 forks, 18 open issues and last shipped yesterday. Langchain-Chatchat leads on adoption by 1,984% (38,715 vs 1,858 stars). Langchain-Chatchat is written in Python under Apache-2.0; hope-agent is written in Rust under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, hope-agent 9%. hope-agent 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 | hope-agent | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 1.9K |
| License | Apache-2.0 | MIT |
| Written in | Python | Rust |
| Last push | 2025-11-10 | 2026-11-04 |
| Forks | ⑂ 6.3K | ⑂ 168 |
| 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 hope-agent if
- You want the hope-agent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and hope-agent 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 hope-agent
Hope Agent 跨端交接、越用越懂你的桌面 AI 助手，也能服务化常驻、跑在云上 会记忆 · 能成长 · 能自主推进目标 · 会动态编排任务 · 在你所有的聊天里随叫随到 简体中文 · English 在一个入口中组织项目、目标、工作流与长期任务 Hope Agent 是一个本地优先、桌面优先，也能服务化常驻的个人 AI Agent。它像成熟的桌面软件一样打开即用，又真正具备 Agent 的行动力：理解长期上下文、调用工具完成工作，并在你离开后继续可靠地推进目标。 Hope Agent 很早就开始探索桌面 AI Agent。 在桌面 Agent 还很少见、Codex 尚处早期形态的阶段，我们就已经开始构建这个项目。我们一直专注于产品本身，而不是制造声量。随着桌面 AI Agent 逐渐成为热门方向，越来越多产品开始探索相似路径，也印证了我们最初的判断： AI 助手终将走出聊天框，成为可以长期托付工作的个人软件。 目录 核心能力 能力全景 快速开始 下载安装 自托管（Docker） 开发者 运行模式 生态一览 项目结构 文档 贡献 社区 致谢 Star History License 核心能力 🖥️ 开箱即用的桌面 Agent 原生 GUI、丰富的 Provider 模板与预设模型，并支持本地模型一键安装。填入 API Key 或登录账号即可开始，不要求先搭环境、学命令行或维护复杂配置。 🧭…
read the full hope-agent overview →
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Frequently asked questions
Is Langchain-Chatchat or hope-agent more popular?
Langchain-Chatchat has 38,715 GitHub stars and hope-agent has 1,858. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and hope-agent free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and hope-agent under MIT. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and hope-agent?
Langchain-Chatchat is written in Python and hope-agent in Rust. 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 hope-agent?
Choose Langchain-Chatchat if you want the larger community (38,715 stars) or its Apache-2.0 licence terms. Choose hope-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.