AIAny
AI Client2026
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makecindy/cindy

Combines multiple agent harnesses, models, and tools in one workspace so agents can work across local projects and apps. Workspace, memory, skills, and tools persist when switching harnesses.

Introduction

Agent tools often tie a task to one model, one runtime, and one set of accumulated context. The useful idea here is continuity across those boundaries: different harnesses and models can take turns planning, executing, and reviewing while sharing a workspace, memory, skills, and tools.

What Sets It Apart
  • Harnesses and models are interchangeable. Switching between supported combinations mid-task lets users choose a suitable agent for planning, implementation, or review without restarting the work from scratch.
  • The client works with a real local environment. It can interact with local files and logged-in apps, with browser, computer, and phone control alongside integrations such as MCP. Project files and chat history stay on the computer by default.
  • It offers several ways to provide models. Users can connect Cindy’s managed service, an existing coding-plan subscription, their own API keys, or local models, rather than being locked into one provider.
  • Customization is part of the product model. Shared memory, reusable skills, and scheduled automations make it possible to shape recurring work instead of treating every task as a fresh chat.
Who It’s For

A good fit for developers who want coding agents to work across their existing projects and apps, or who need to combine different models and agent runtimes in one workflow. Look elsewhere if you need a self-hosted backend: this repository contains the desktop and mobile client, while the backend is separate. Some server-backed capabilities also require a Cindy account; local agents can be used without signing in.

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