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caic

Coding Agents in Containers. Manage multiple AI coding agents running in parallel in isolated Docker containers. Access them from your phone with Tailscale. All private.

What is caic?

caic lets you run AI coding agents (Claude Code, Codex, OpenCode, Pi) in isolated md containers, orchestrated through a unified web UI and Android app. Each task runs in its own container so agents never interfere with each other or your local checkout.

Platform support

caic is supported on Linux, macOS, and Windows via WSL2.

Key features

  • Parallel agents — run many agents simultaneously on different branches
  • Resilient sessions — server restarts don't kill running agents; a relay process inside each container keeps agents alive across SSH disconnects
  • Forge integration — automatic PR/MR creation and CI monitoring for GitHub and GitLab
  • Lightweight — single Go binary, low memory and CPU footprint
  • Web UI — SolidJS frontend embedded in the binary
  • Voice control — supervise and steer agents hands-free with voice mode
  • MCP server — connect Claude or ChatGPT to your tasks through the MCP endpoint
  • Android app — voice-first companion app to manage agents from your phone

Screenshots

Interacting with an agent

Interacting with an agent

Plan mode

Plan mode

Ask mode — agent asks for user input

Ask mode

Widget — generative UI

Widget

Android app

Android task list

Quick start

bash
curl -fsSL https://caic.xyz/install.sh | bash

See Installation for full setup, and Configuration for config file reference and service setup.

Documentation

  • Installation — prerequisites, platform notes, from-source builds
  • Configuration — config file reference, auth modes, HTTPS exposure
  • GitHub Integration — automatic PR creation and CI monitoring
  • GitLab Integration — automatic MR creation and CI monitoring
  • Voice — hands-free supervision with embedded, standalone, or fully local gateways
  • MCP Server — connect external MCP clients over OAuth
  • Android App — voice-first companion app
  • Architecture — system components, task lifecycle, relay, startup
  • Design — design rationale, trade-offs, core principles
  • Security — authentication, credential handling, isolation model

Getting help