// Agent profile
Multica is an open-source platform for managing AI coding agents as first-class team members. Assign issues to agents like you would to a colleague — they pick up the work, write code, report blockers, and update statuses autonomously. The platform supports squads (groups of agents led by a routing agent), autopilots for recurring work via cron or webhooks, and a skill system where every solution becomes reusable across your team. Multica works with Claude Code, Codex, GitHub Copilot CLI, Cursor Agent, OpenClaw, Hermes, Gemini, and more. The stack includes a Go backend, Next.js web app, Electron desktop client, and the multica CLI daemon.
Multica is an open-source managed agents platform that treats AI coding agents as first-class teammates rather than one-off tools. Instead of copy-pasting prompts and babysitting agent runs, you assign issues to agents the same way you would assign work to a colleague — they pick up the task, write code, report blockers, and update their status autonomously. The platform provides a project board where human and agent work streams are visible side by side, giving teams a unified view of who (or what) is working on what.
Multica’s core abstraction is the task lifecycle: enqueue, claim, start, complete or fail. Agents connected to Multica pull tasks from the queue, stream real-time progress via WebSocket, and report results. The platform supports squads — groups of agents led by a routing agent that distributes incoming work based on agent capabilities and availability. Autopilots handle recurring work by creating issues on a schedule (cron, webhook, or manual trigger) and routing them to the appropriate agent automatically, so daily standups, weekly reports, and periodic audits run without human intervention. Every solution an agent produces becomes a reusable skill that other agents on the team can leverage, compounding capability over time.
Engineering teams use Multica as a coordination layer for parallel agent work — multiple feature branches, multiple PRs, multiple bug investigations running concurrently with deterministic task tracking. The autopilot feature suits teams with recurring operational tasks like dependency updates, code audits, or report generation. The squad model enables larger teams to route incoming work intelligently to specialized agents without manual triage.
Multica is a management layer, not a coding agent itself — it requires one or more supported agents (Claude Code, Codex, etc.) to do the actual work. The platform adds operational overhead that may not be justified for solo developers or small projects with a single agent. Self-hosting requires Docker and a database, though Multica Cloud is available as a managed alternative.
Multica is built for engineering teams that use multiple AI coding agents and want to manage them like teammates rather than tools. It suits teams that value process — task tracking, progress visibility, skill reuse — and want to scale their AI-assisted development beyond ad-hoc prompting. Teams already using project boards for human work will find the model familiar.
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