Ravi — AI skill for Claude Code
Run AI agents on machines you control, alone or as a whole organization: Slack, WhatsApp, Pages, Bases and SDKs generated from the CLI.
How to install Ravi
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open filipexyz/ravi and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Ravi does
Run AI agents on machines you control, alone or as a whole organization: Slack, WhatsApp, Pages, Bases and SDKs generated from the CLI.
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README
Local-first runtime for long-lived AI agents.
Run agents on machines you control, one or many, under one organization. Reach them from Slack, WhatsApp or the terminal, publish what they build as pages, and build your own frontends on SDKs generated from the CLI.
Ravi is a daemon that runs AI agents on your machine. Each agent has a working directory, an `AGENTS.md` with its instructions, a model provider and a permission ceiling. Messages from chat channels, scheduled jobs, events and the terminal land in durable sessions, and Ravi decides which agent answers, what it may do and where the reply goes.
Documentation: **[docs.ravi.bot](https://docs.ravi.bot)**
What you get
- Any provider, same behavior. Claude Code, Codex, Pi and Grok Build are adapters. Ravi owns queueing, permissions, traces and delivery, so switching providers does not change how an agent works.
- SDKs generated from the CLI. Every public
ravicommand is also an HTTP endpoint on the daemon and a typed method in the TypeScript, Dart and Swift SDKs, all generated from the same command registry. The pre-push hook and CI compare the SDK sources in this repository with a fresh generation and fail on any difference, so they never drift from the CLI of the same commit. Build any frontend for your Ravi (a dashboard, a mobile app, a bro
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