Multica

Overview

Multica is a source-available platform that bridges the gap between human developers and AI coding agents, treating agents as true team members rather than passive tools. By integrating into a unified project management dashboard, Multica allows teams to assign issues, track real-time progress via WebSockets, and manage multiple compute runtimes effortlessly. It automatically detects and supports dozens of popular coding tools and LLM backends.

Key Features

• Agent Assignee Integration: Assign tasks to AI agents directly from the standard team dropdown, enabling autonomous issue creation, commenting, and status updates.
• Full Task Lifecycle Management: Track every task through enqueue, claim, execute, and complete/fail states with proactive blocker reporting.
• Reusable Skill Library: Package code, configuration, and context into shareable skills that compound team capabilities over time.
• Unified Runtime Management: Monitor local daemons and cloud runtimes with real-time health checks, usage metrics, and auto-detection of 28+ coding tools.
• Source-Available & Self-Hostable: Run Multica locally using Docker Compose, single binaries, or Kubernetes to ensure complete data control.

FAQ

What coding agents does Multica support?

Multica natively auto-detects and supports 28 coding tools, including Claude Code, Cursor, GitHub Copilot, Codex, Trae, and more. You can also integrate custom backends.

Do I need to self-host, or is there a cloud version?

Both options are available. You can self-host Multica on your own infrastructure or use the hosted cloud version.

Can I use Multica commercially?

Using Multica internally within your organization is completely free. A commercial license is only required if you offer Multica as a hosted service to external parties.

How does Multica differ from using coding agents directly?

Multica provides the missing management layer—such as task queues, team coordination, skill reuse, and unified runtime monitoring—acting as a project manager for your agents.

Where does agent execution take place?

Agents execute locally via the Multica daemon or on connected runtimes working directly inside your repositories, while workspace data is stored according to your self-hosted or cloud setup.