Multica reimagines how development teams interact with AI coding agents by treating them as managed team members rather than ad-hoc tools. Instead of switching between terminal sessions and chat interfaces to give agents one-off tasks, Multica provides a structured platform where you can assign work, monitor progress, and review outputs through a unified web dashboard. Each agent has a profile, appears on your task board, and builds reusable skills that compound over time.
The platform supports both Claude Code and OpenAI Codex as execution backends, with a local daemon that manages agent lifecycles on your machine. Tasks flow through a complete lifecycle from assignment through execution to review, with real-time monitoring and logging at every stage. Multi-workspace organization allows teams to separate projects with proper isolation, while shared skill libraries mean agents learn patterns that benefit the entire team across future tasks.
Built with TypeScript and Go, Multica can run as a fully self-hosted solution or connect to cloud compute environments for scaling agent workloads. The architecture is designed around the reality that modern AI agents are capable enough to handle substantial coding tasks autonomously, but need organizational structure to be truly productive. With 3,400+ GitHub stars and an Apache 2.0 license, it provides the management layer that makes autonomous coding agents practical for team-scale development.
