About This Site
Project management platform for human and AI coding-agent teams Multica is an open-source project management platform for human and coding-agent teams. It helps teams assign tasks to AI agents, track progress, manage complete task lifecycles, reuse shared skills, monitor local and cloud runtimes, and coordinate human and agent activity in one workspace. Multica supports more than 20 coding tools, offers local and cloud runtime management, and can be self-hosted through Docker Compose, a single binary, or Kubernetes.
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The part teams notice first: the modules are connected. One click turns whiteboard sticky notes into cards, frames into epics, and a whole mind map into an epic with cards — on your own board, not exported into a second product. Retro action items are already cards. Epics carry a color that follows their work across board, backlog, and search.
Everything updates live for the whole team — no asking a colleague to refresh the page.
And it's built for the agent era: connect an AI assistant over MCP — it signs in with your account from the client (OAuth), no API key to paste — and let it create, estimate, organize, move and comment on cards and epics. 49 tools cover boards, epics, roadmap, retrospectives, whiteboards, wiki and metrics, bounded by your own permissions, on every plan including Free.
Pricing is flat and small-team-friendly: 2 seats free forever, Pro at $12/month plus $9 per extra seat, and a 14-day trial of every premium module — no credit card.
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Key Features AI
Core Features
Assign tasks to AI coding agents like human teammates
Manage complete task lifecycles from enqueue to completion or failure
Real-time progress updates and unified human-agent activity timelines
Reusable skills that package code, configuration, and context
Shared team skill library for compounding agent capabilities
Unified dashboard for local daemons and cloud runtimes
Runtime monitoring with online status, usage charts, and activity heatmaps
Automatic detection of supported coding tools
Proactive blocker reporting from agents
Open-source, self-hostable architecture
Support for custom agent backends and LLM providers
Advantages
Combines project management with AI coding-agent execution
Supports human and agent assignees in the same workflow
Provides real-time task progress and activity updates
Reusable skills help teams standardize and compound knowledge
Supports local execution and self-hosting
Open-source and auditable
Works with many popular coding tools
No artificial agent limits in the open-source version
缺点:Requires installing and configuring the CLI and local daemon
缺点:Agent capacity depends on available hardware and configured concurrency
缺点:The provided content does not specify hosted-cloud pricing
缺点:Some advanced workflows may require technical infrastructure knowledge
缺点:AI agents may still encounter blockers or require human review
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