head to head · open source
Yuxi vs readme-ai
Yuxi has 7,587 GitHub stars, 1,243 forks, 90 open issues and last shipped yesterday. readme-ai has 3,005 stars, 296 forks, 57 open issues and last shipped yesterday. Yuxi leads on adoption by 152% (7,587 vs 3,005 stars). Yuxi is written in Python under MIT; readme-ai is written in Python under MIT. Yuxi has attracted 16% as many forks as stars, readme-ai 10%. Yuxi was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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
| Yuxi | readme-ai | |
|---|---|---|
| GitHub stars | ★ 7.6K | ★ 3.0K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 1.2K | ⑂ 296 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Yuxi if
- You weight community size — 7.6K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick readme-ai if
- You want the readme-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and readme-ai fits your workflow better
About Yuxi
Yuxi 是一个可私有部署的多租户知识智能体平台。它把知识库检索、知识图谱、LangGraph 多智能体编排、MCP/Skills、沙盒工具和权限管理放进同一个工作区。 项目主页 · 快速开始 · 演示视频 · 版本记录 · English Yuxi 能做什么 Yuxi 面向需要自己掌握数据、模型和权限的团队： 构建知识问答 ：上传文档，经过解析、分块和向量索引后，让智能体结合检索内容回答问题。 执行多步骤任务 ：组合工具、MCP、Skills、子智能体和沙盒，产出可预览、可下载的文件。 连接知识图谱 ：从 Milvus 知识库的文档块中抽取实体和关系，写入 Neo4j 并参与检索。 管理团队使用范围 ：按用户、部门和共享范围管理知识库、智能体、Skills 和模型。 对比运行质量 ：评估知识库的检索结果，也可以用 Langfuse Dataset 评估完整智能体任务。 技术栈 快速启动 前置条件 安装 Docker Engine 和 Docker Compose，并准备一个可用的大模型 API。当前仓库默认配置对应 v0.7.3 。 1. 获取代码并初始化 初始化脚本会创建 .env 、读取 SiliconFlow API Key，并为 JWT、API Key 派生和 Sandbox provisioner 生成独立的安全密钥。也可以手动复制 .env.template 并填写这些值。 2. 启动开发环境…
About readme-ai
Designed for simplicity, customization, and developer productivity. The metrics above are rendered with HyperWeave — an experimental SVG artifact layer for agents. Explore → Quick Links Intro Demo Features Quickstart Configuration Example Gallery Contributing Guidelines [!IMPORTANT] Explore the [Official Documentation][docs] for a complete list of features, customization options, and examples. Introduction ReadmeAI is a developer tool that automatically generates README files using a robust repository processing engine and advanced language models. Simply provide a URL or path to your codebase, and a well…
read the full readme-ai overview →
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Frequently asked questions
Is Yuxi or readme-ai more popular?
Yuxi has 7,587 GitHub stars and readme-ai has 3,005. Yuxi has the larger community by that measure.
Are Yuxi and readme-ai free?
Both are open source. Yuxi is licensed under MIT and readme-ai under MIT. Neither carries a licence fee.
What is the difference between Yuxi and readme-ai?
Yuxi is written in Python and readme-ai 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, Yuxi or readme-ai?
Choose Yuxi if you want the larger community (7,587 stars) or its MIT licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.