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Multica is an AI-native task management system that lets engineering teams coordinate human developers and coding agents in a single, unified workspace. Instead of treating agents as one-off prompt responders, Multica turns them into persistent teammates with profiles, assignments, and visible task histories. This creates a transparent collaboration layer where every action—whether from a person or an autonomous agent—is tracked and auditable.
With Multica, technical teams can assign issues to agents like real colleagues, monitor live execution timelines via WebSockets, and maintain a single activity feed that interleaves human and agent updates. Agents autonomously create issues, leave comments, update statuses, and proactively flag blockers, reducing silent failures and cutting coordination overhead. Each completed task can be captured as a reusable skill—bundling code, configuration, and context—so your organization’s automation capabilities compound over time.
Key capabilities include:
Built for modern engineering organizations adopting AI coding agents, Multica integrates with leading models like Claude and Codex and offers an open-source foundation for deeply customizable workflows. It’s ideal for teams scaling beyond traditional headcount while maintaining control, observability, and quality across both human and machine contributors.
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