makecindy/cindy

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Cindy is an open-source AI agent, ready out of the box and yours to shape.
Connect your computers and phone, bring the models and subscriptions you already
use, and build a companion that knows how you like to work.
## All your devices. One Cindy.
Your work computer, home desktop, laptop and phone belong together.
Pick up the same work. Open a session from another device, continue the
conversation, and access its files without copying everything into a new chat.
Share more than a screen. Use model providers configured on another
computer — including supported subscriptions, API providers and local models.
Reach your whole desktop. Built-in remote desktop on your phone lets you
open apps, type and operate a connected computer when a chat isn't enough.
Your computer becomes your server: no server rental or self-hosting setup.
How connections and data work
For remote access to your computers, keep them online, sign in with the same
account and enable the relevant permissions. Model sharing requires allowing
remote access to that provider; remote desktop also needs its own permissions.
Project files stay on their computer — remote access is not whole-disk sync.
Cloud companions sync their conversations, memory, skills and shared attachments
through Cindy's services; model providers process the requests sent to them.
Provider and service billing still apply.
## Keep your favorite agents. Get a better way to work.
Already using Claude Code or Codex? Cindy brings them together with Pi,
then adds a shared interface, multi-device access, tools and a companion of
your own.
| Harness | What it brings |
| Claude Code | Claude Code's agent workflow, with Cindy's interface and connected tools. |
| Codex | Codex's coding workflow, available alongside your other agents. |
| Pi | A lean, open-source, extensible agent with support for multiple model providers. |
Choose a supported harness and model combination, and change it as the work
evolves. Your session stays in Cindy; switching harnesses hands off or rebuilds
the engine context rather than making their internal states identical.
One agent not enough? Let her lead a team. Use different agents for planning,
parallel implementation and independent review, with a shared goal and clear
acceptance criteria.
## Real work, in your actual tools
Work with your files, browser and apps. Ask for a change, inspect what happened,
and keep working from the result. Answers can include charts, interactive
controls and rich HTML, not just a wall of text.
Build a recurring routine with automations, or hand over work through
connected chat channels such as Slack and Telegram. Connect more tools through
Skills, plugins and MCP.
## Ready from day one. Yours to shape over time.
Create your own companions. Give them a role, instructions, skills and
recurring work — a reviewer, researcher, project partner, or something of your own.
Make experience reusable. Keep useful preferences and knowledge in memory;
turn a good way of working into a Skill you can reuse and share.
Extend the product. Discover Skills and plugins in SkillHub, connect your