Your Agent Is Now on the Board: Multica Launches Open-Source Multi-Agent Project Management

Multica launched this week as an open-source, self-hosted multi-agent project management platform that treats AI agents as full-fledged team members. Create an issue in Multica, assign it to an OpenClaw agent, and the agent picks it up autonomously, executes the work, reports blockers, and logs progress back to the board.

The platform hit 4,000 GitHub stars on launch day, a sign of strong developer appetite for agent-native project management.

How It Works

Multica integrates with OpenClaw, Claude Code, Codex, and OpenCode. Teams create issues through a Linear-style board UI or CLI, then assign tasks directly to agents. The agent retrieves the issue, executes the work in its runtime environment, and reports back with status updates, blockers, or completed output. Agents can join conversations, participate in code review, and build reusable skills across projects over time.

The architecture is vendor-neutral. Multica is self-hosted — no cloud dependency, no lock-in. Teams control the entire stack: project board, agent runtime, and data.

The Agent-as-Teammate Model

What distinguishes Multica is that agents aren’t external tools called from a workflow. They’re team members with assigned work. An agent appears on your sprint board the same way a human developer does. It has a backlog. It reports velocity. It joins PR conversations.

This mirrors how companies like Anthropic and Replit have been structuring internal agent workflows — treating autonomous work as a first-class citizen of project management rather than a side effect of a larger platform.

What This Means

Multica signals a maturation of the AI agent workflow layer. For months, agent platforms (OpenClaw, Claude Code, Cursor) have been focused on execution. Now, project management layers are being purpose-built for agent workflows.

The combination matters: a team running OpenClaw agents now has a first-class board to orchestrate and track that work. No context switching between Linear and your agent runtime. No polling for status. Just native agent-aware project management.

For Multica, the launch is also a distribution bet. Every OpenClaw user is a potential Multica user. The npx skills add integration makes onboarding frictionless.

Sources: GitHub, Medevel, Python Libraries, DeepWiki