最近推送 2026-10-25 00:03(6 天前),属于活跃维护
makecindy/cindy
GITHUB项目档案主语言 TypeScript · 8,290 星 · Apache-2.0 · 创建于 2026-07-23
Consider it done. The open-source AI agent that works out of the box · 想到,就能做到。开源、开箱即用的 AI Agent。
仓库健康度
5 个维度开放 Issue 1,897 个 · Fork 569 个
24 小时 +38 · 7 日 +4,912 · 30 日 积累中
许可证 Apache-2.0 · 12 个 topics · 开了 Wiki
这一项暂无数据,不代表项目没有发布
「证据不足」表示这项数据暂时没有取到,不能读成「项目有问题」;「部分数据」表示只拿到一部分信号。版本发布要额外调 Releases 接口,下一版补。
Star 趋势
8 天记录横轴 2026-10-24 → 2026-10-31,纵轴按这段时间的最小/最大值拉伸。趋势来自站内每天记录一次的星数,页面打开时不会实时请求 GitHub。
README 原文细节
4 个板块怎么安装从零跑起来的步骤
Getting started
Contributor setup, Git LFS, dependency updates, and access requirements are maintained in CONTRIBUTING.en.md. Plugins are installed through SkillHub or manually.
git clone https://github.com/makecindy/cindy.git
cd cindy
git lfs pull
pnpm install
环境与依赖跑它之前要准备什么
Prerequisites
- Node.js 22.x
- pnpm 10.x (v11 is not yet supported)
实现原理它内部是怎么做的
Architecture
- DESIGN.md — visual design system, color tokens, and UI conventions
- docs/README.md — complete documentation and rules index
- docs/auth-realm-routing.md — organization SSO region discovery and session endpoint routing
- CONTRIBUTING.en.md — contributor setup, validation, and submission workflow
- AGENTS.md — engineering rules, launch/runtime contracts, and module boundaries
- docs/dev-rules/ — deep-dive architecture docs (e.g. Orca multi-agent orchestration)
其它说明README 里剩下的内容
Yours to shape
Ready out of the box, never boxed in — start with CONTRIBUTING.en.md and build Cindy with us.
- Memory — correct her once and she does it right from then on, shared across harnesses.
- Skills — teach a way of working once and reuse it everywhere; handing them to your team is in the making.
- Automation — recurring work schedules itself, runs itself, reports back.
- MCP — wire your internal tools and business systems into her reach.
- Plugins — reshape features, UI and interactions, shared through an open marketplace (in the making).
- Source — audit, fork, extend, and contribute improvements back under Apache-2.0.
概述
Cindy is an open-source AI agent that works out of the box. She brings multiple harnesses, models and tools into one agent that finishes real work in your projects and apps. Ready from day one, yours to shape over time.
Cindy runs locally on your own machine, using your real files and logged-in apps. The first supported harnesses are Claude Code and Codex — more are being added, and a native harness is in the works. Models and harnesses mix freely and can switch mid-task while your workspace, memory, skills and tools stay continuous; one task can even be planned, executed in parallel, and reviewed by agents on different harness × model combos. She can drive your browser, computer and phone, and take work from IM and schedules.
This repository is the open-source client for Cindy — the desktop and mobile apps plus their shared packages, organized as a pnpm monorepo.
The client is free to use, and its source code is open under Apache-2.0. Bring models your way: sign in to the official Cindy service (usage deducted transparently), authorize the Claude Code / Codex Coding Plan you already pay for and keep using it inside Cindy — no duplicate bill — connect your own API keys, or use local models. See cindy.app for service details, pricing, and downloads.
Development entry points
Remote development uses your own Cindy cloud account and existing login state, so you can continue existing sessions and work while developing the client. Use cn for Mainland China accounts and global for everyone else; do not rely on the internal default. Full desktop, mobile, data-isolation, and validation workflows are in CONTRIBUTING.en.md.
“Skip Sign-In” on the login screen runs local agents without a Cindy account (shown in the app as “Not signed in”), not a connection to a local server. Server-backed capabilities are unavailable in this state.
About the default servers: the client connects to Cindy's official cloud services by default (endpoint manifests in config/endpoint.json and config/endpoint.global.json; desktop auto-updates also come from the official CDN). This is intentional — external developers don't need to self-host a server: sign in with your own Cindy account in a dev build and develop / test directly against the official servers.
Skill Hub migration uses two separate manifest fields: released clients keep using skillhubApiBaseUrl (the deprecated XD proxy), while current clients use cindySkillHubApiBaseUrl. The current client deliberately does not fall back to the legacy field when the new endpoint is absent.
关于 cindy 的常见问题
4 个问题cindy 是做什么的?
makecindy/cindy 是 GitHub 上的开源项目:Consider it done. The open-source AI agent that works out of the box · 想到,就能做到。开源、开箱即用的 AI Agent。README 里的说明是:Not in this repo: the backend service lives in a separate repository and is not part of this monorepo.
怎么安装 cindy?
按项目 README 的说明:Contributor setup, Git LFS, dependency updates, and access requirements are maintained in CONTRIBUTING.en.md. Plugins are installed through 。完整命令见下方「怎么安装」一节或 GitHub 仓库的 README。
运行 cindy 需要什么环境?
README 写明的依赖:Node.js 22.x;pnpm 10.x (v11 is not yet supported)。
cindy 现在还在维护吗?数据怎么样?
目前 8,290 星,569 个 Fork,主语言 TypeScript,创建于 2026-07-23,最近一次推送 2026-10-25 00:03,许可证 Apache-2.0。星数、Fork、推送时间都是 GitHub 返回的实时数据,「最近推送」离现在越近说明越活跃;长期不动要留意是否已停止维护。
这些内容来自哪
读法说明项目数据取自 GitHub 官方接口与项目 README;星数、Fork、语言与时间以 GitHub 页面为准,档案更新于 2026-10-25 00:21。