head to head · open source
Yuxi vs ctx
Yuxi has 7,601 GitHub stars, 1,249 forks, 90 open issues and last shipped yesterday. ctx has 589 stars, 69 forks, 7 open issues and last shipped 22 days ago. Yuxi leads on adoption by 1,190% (7,601 vs 589 stars). Yuxi is written in Python under MIT; ctx is written in Python under MIT. Yuxi has attracted 16% as many forks as stars, ctx 12%. Yuxi was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agents, harness, knowledge-graph), 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 | ctx | |
|---|---|---|
| GitHub stars | ★ 7.6K | ★ 589 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-10-14 |
| Forks | ⑂ 1.2K | ⑂ 69 |
| 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 ctx if
- You want the ctx feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and ctx 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 ctx
ctx Find the cheapest AI coding setup that actually works on your repo. CTX Fit analyzes your repository, tests promising AI coding configurations against real tasks in it, and produces the winning configuration as a reviewable change — in your working tree with apply , or as a pull request with pr . It picks the cheapest setup that reliably works — reliability is a requirement, not a tie break — and if nothing beats what you already have, it says so. The winner is chosen by a fixed rule, not a score: discard every candidate below the reliability floor, then minimize attributable cost, then break ties toward the…
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Frequently asked questions
Is Yuxi or ctx more popular?
Yuxi has 7,601 GitHub stars and ctx has 589. Yuxi has the larger community by that measure.
Are Yuxi and ctx free?
Both are open source. Yuxi is licensed under MIT and ctx under MIT. Neither carries a licence fee.
What is the difference between Yuxi and ctx?
Yuxi is written in Python and ctx 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 ctx?
Choose Yuxi if you want the larger community (7,601 stars) or its MIT licence terms. Choose ctx if its feature set, stack or MIT licence fits better. Both are self-hostable.