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cindy

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。

Install / Use

npx skills add makecindy/cindy

Installs into whichever agent you are using.

About this skill
🤖

CLAUDE.md

Claude Code project instructions

Quality Score

90/100

Supported Platforms

Claude Code
OpenAI Codex

Our assessment of cindy

cindy scores 90/100 on our quality scale, 352nd of 941 AI & Machine Learning skills we index (top 38%).

Its CLAUDE.md is 9.2 KB long, well organised into 12 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 5,696 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
16/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so cindy is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 95/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

cindy compared with similar skills

All 4 of these similar skills score higher than cindy; compare them before choosing.

SkillScoreStarsUpdatedFormat
cindy (this skill)by makecindy905.7ktodayCLAUDE.md
claude-memby thedotmack100103.3ktodayCLAUDE.md
Agent-Reachby Panniantong100102.9k1d agoCLAUDE.md
taste-skillby Leonxlnx100102.7ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10088.3ktodayCLAUDE.md

Frequently asked questions

How do I install cindy?
Run npx skills add makecindy/cindy. The install tabs above show the steps for each supported agent.
Which AI agents does cindy work with?
It is written for Claude Code and OpenAI Codex, as a CLAUDE.md file. Other agents that read the same format can often use it too.
Is cindy safe to use?
It is Apache-2.0-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is cindy still maintained?
The repository was last updated today, so cindy is actively maintained.
<p align="center"> <a href="https://cindy.app"><img src=".github/assets/hero-en.webp" width="100%" alt="CINDY — Consider it done. The open-source AI agent that works out of the box, doing real work on your own computer."></a> </p> <p align="center"> <strong>English</strong> · <a href="README.zh-CN.md">简体中文</a> </p> <p align="center"> <a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-blue.svg" alt="License" /></a> <a href="https://github.com/makecindy/cindy/actions/workflows/ci.yml"><img src="https://github.com/makecindy/cindy/actions/workflows/ci.yml/badge.svg" alt="CI" /></a> <a href="https://nodejs.org"><img src="https://img.shields.io/badge/node-22.x-brightgreen.svg" alt="Node.js 22.x" /></a> <a href="https://pnpm.io"><img src="https://img.shields.io/badge/pnpm-10-orange.svg" alt="pnpm" /></a> </p> <p align="center"> 🌐 <a href="https://cindy.app">cindy.app</a> &nbsp;·&nbsp; ⬇️ <a href="https://cindy.app/download/">Download</a> </p>

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.

Linux users: see the Ubuntu, Arch Linux and Omarchy installation guide for installation, updates, keyring setup and migration from a manual install.

Yours to shape

Open source means more than visible — it means changeable:

  • 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.

Ready out of the box, never boxed in — start with CONTRIBUTING.en.md and build Cindy with us.

What's in this repo

| Path | Description | | --- | --- | | apps/desktop | Electron desktop client | | apps/mobile | Expo / React Native mobile client | | packages/* | Shared client capabilities (auth, device-link, agent orchestration, model providers, …) | | apps/*-bin | Tool binaries shipped with the desktop app; none are committed — claude-code, codex, and ripgrep are downloaded per platform by pnpm install, and the Android platform-tools binaries are fetched (pinned version, sha256-verified) before Windows packaging |

Not in this repo: the backend service lives in a separate repository and is not part of this monorepo.

| Mode | Account requirement | Availability | | --- | --- | --- | | Hosted service | Cindy cloud account | Use Cindy's full hosted service. See pricing. | | Skip Sign-In | No Cindy sign-in required | Choose “Skip Sign-In” on the login screen to use local agents; the app then shows the account state as “Not signed in”. Server-backed capabilities are unavailable in this state. |

Prerequisites

  • Node.js 22.x
  • pnpm 10.x (v11 is not yet supported)
  • Git LFS

Getting started

Contributor setup, Git LFS, dependency updates, and access requirements are maintained in CONTRIBUTING.en.md. Plugins are installed through SkillHub or manually.

Minimal entry point:

git clone https://github.com/makecindy/cindy.git
cd cindy
git lfs pull
pnpm install

Development entry points

# Mainland China Cindy account
pnpm restart:desktop:remote --region=cn

# Global Cindy account
pnpm restart:desktop:remote --region=global

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.

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)

Contributing

Contributions go through pull requests into main. Read CONTRIBUTING.en.md first, then use .github/PULL_REQUEST_TEMPLATE.md. Every commit needs a Developer Certificate of Origin sign-off (git commit -s); a DCO check on each pull request enforces it, and no CLA is required. Please also follow CODE_OF_CONDUCT.en.md. For ordinary usage questions, see SUPPORT.en.md; report security issues privately through SECURITY.en.md.

Security

Never commit credentials or authorization files to the working tree. If you discover a security issue, follow SECURITY.en.md to report it privately rather than opening a public issue.

Privacy & telemetry

Official distribution builds include TapDB usage analytics for product-level aggregate statistics (device / OS / app-version metadata; associated with your account ID after sign-in). It does not collect chat content, file content, or working-directory data. In addition, while signed in to a cloud account the client sends an online heartbeat to Cindy services (account ID, platform, and version only). Crash dumps stay on the local machine and are never uploaded automatically.

Building from source? You are not required to keep analytics:

  • Mobile is off by default — without TapDB credentials (clientId / clientToken) injected at build time, apps/mobile/src/analytics/mobileTapdb.ts is a no-op;
  • Desktop can be fully stripped by removing the initTapdb() call in apps/desktop/src/renderer/index.tsx (implementation lives in apps/desktop/src/renderer/analytics/).

License / 许可证

Except as otherwise noted, the source code in this repository is licensed under the Apache License, Version 2.0. Individual source files do not carry per-file license headers; the repository-root LICENSE governs.

Model weights, datasets, prompts, trademarks, and other separately identified materials may be subject to their own license terms and are not automatically covered by the repository-level Apache-2.0 grant. Third-party open-source components retain their own copyright and license. Their attribution notices and SPDX SBOMs are managed under docs/legal/, with artifact-specific outputs in docs/legal/notices/. See NOTICE for this project's copyright and attribution information.

Related Skills

View on GitHub
GitHub Stars5.7k
CategoryAI
Updated7h ago
Forks725

Languages

TypeScript

Trust signals

95/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low