paseo
Monitor and control AI coding agents from your phone
All Skills in This Repository (11)
Pure Emerald Level Indicatorspaseo-orchestrate
Orchestrate end-to-end task delivery with Paseo agents via MCP tools.
paseo-loop
Automate iterative worker-verifier cycles with the Paseo daemon.
paseo
Coordinate Paseo agent operations via CLI for task execution and monitoring.
paseo-committee
Coordinate two AI agents to plan complex problems with root-cause analysis.
paseo-handoff
Transfers tasks between agents, preserving metadata via Rocket.Chat's API.
paseo-chat
Manage agent communication in Paseo chat rooms via the CLI.
release-beta
Executes the documented beta release workflow for the Paseo project.
release-stable
Cuts a stable Paseo release by patching, minor bumping, or promoting from beta.
paseo-help
Diagnose Paseo setup, connectivity, provider, and update issues using current documentation.
paseo-plugin
Build, install, and manage trusted local Paseo plugins with React Native surfaces and RPC handlers.
paseo-advisor
Launches a single Paseo agent to give a second opinion on the current task.
Frequently Asked Questions
FAQPage SchemaHow to install Paseo?โผ
Run `npx skills add getpaseo/paseo --all -g -y` in your terminal to install all Paseo skills globally for your AI agent.
What does Paseo do?โผ
Paseo lets you run and monitor AI coding agents like Claude Code, Codex, and Copilot on your own machine, then control them from your phone, desktop, web browser, or terminal.
Which AI agents does Paseo support?โผ
Paseo supports Claude Code, Codex, GitHub Copilot, OpenCode, and Pi through one unified interface, so you can pick the right model for each job.
Is my code private when using Paseo?โผ
Yes. Paseo is self-hosted with no telemetry or tracking, agents run on your own machine, and remote access uses end-to-end encrypted relay connections.
Can I hand off tasks between different AI agents?โผ
Yes. The paseo-handoff skill transfers your current task with full context to another agent, and paseo-committee lets two contrasting agents collaborate on hard problems.
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