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Coding assistants

Xingyao code

Profile
Stable identifier
UB-D6674
Country
Not available
Source record updated
Oct 26, 2026
Snapshot captured
Oct 28, 2026
English updated
Oct 28, 2026
Original name

星瑶 code

Translation dates do not change the dates of the underlying facts.

Overview

Xingyao code (Xingyao / Y-Code) is an open-source AI coding partner that runs on your own machine. It is not a chat box but a teammate that can act: read your project, edit across files, run commands, execute tests, and keep your preferences as long-term memory. Terminal TUI and GUI share one core engine; fully open under MIT. Core highlights — Real execution, not only advice: 29 built-in tools—file I/O, code search (ripgrep), command run, web fetch, symbol lookup, text-to-image, and more—so AI finishes work in your workspace. Sub-agents + plan mode: complex tasks become dependency-aware plans; explore / implement / test / review sub-agents dispatch in parallel, auto-retry on failure, with pause, resume, and rollback. Knows you better over time: four long-term memory types (preferences / feedback / project context / references) plus background Dream cleanup; sessions in local SQLite; every AI edit has a snapshot you can undo by turn. Your models: no vendor lock-in—OpenAI / Anthropic / DeepSeek / Kimi / Zhipu GLM and other major protocols; primary/secondary model split and smart routing to save tokens by task complexity.

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Sources & provenance

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Original source text

Names may use phonetic renderings when no English name is supplied. The original wording is retained below.

星瑶(Xingyao / Y-Code) 是一款运行在你自己电脑上的开源 AI 编程伙伴。它不是一个"聊天框",而是一位真正能动手的队员:读懂你的项目、跨文件改代码、跑命令、执行测试,并把你的偏好沉淀成长期记忆。终端 TUI 与图形界面 GUI 双形态共享同一核心引擎,MIT 协议完全开源。✨ 核心亮点真·执行,不只是建议:内置 29 个工具——文件读写、代码搜索(ripgrep)、命令执行、网页抓取、符号查找、文生图……AI 直接在你的工作区把活干完。子代理 + 计划模式:复杂任务自动拆成带依赖图的执行计划,探索 / 实现 / 测试 / 评审多类子代理并行派发,失败自动重试,全程可暂停、恢复、回滚。越用越懂你:四类长期记忆(用户偏好 / 反馈 / 项目上下文 / 参考资料)+ 后台 Dream 自动整理;会话存本地 SQLite,AI 每轮改动都有快照,改坏了按回合一键撤销。模型你说了算:不绑定任何厂商,OpenAI / Anthropic / DeepSeek / Kimi / 智谱 GLM 等主流协议自由接入;支持主副模型分工与智能路由,按任务复杂度分配模型省 token。