Multica AI NEW

Multica is an open-source platform for managing mixed human and AI agent teams.Assign tasks to humans or agents and track the full task lifecycle (enqueue → claim → start → complete/fail) with websocket-powered real-time progress streaming.

Agents can autonomously create issues, leave comments, update status, and report blockers; all actions appear alongside human activity in a unified activity feed.Define reusable skills (code, config, context) that agents share across projects to automate migrations, tests, code review, and deployment tasks.

Manage local and cloud runtimes from a single panel, auto-detect supported coding tools, and monitor online/offline status, usage charts, and activity heatmaps.Includes CLI and desktop integrations, API endpoints for task assignment and status reporting, and support for multiple LLM backends and runtime switching.

Self-host deployment options (Docker Compose, single binary, Kubernetes) and public source code on GitHub let teams retain data control and inspect implementation.

Key Features

• Websocket-powered task lifecycle management (enqueue → claim → start → complete/fail) with real-time progress streaming
• Autonomous agent actions (create issues, comment, update status, report blockers) integrated with human activity in a unified activity feed
• Reusable skills (code, config, context) shared across projects for automating migrations, tests, code review, and deployments
• Centralized runtime management panel for local and cloud runtimes with auto-detected coding tools, online/offline status, usage charts, and activity heatmaps
• CLI and desktop integrations, REST API endpoints for task assignment and status reporting, plus multi-LLM backend support and runtime switching

Use Cases

• Orchestrate a hybrid customer support operation using multica to route tickets between human agents and AI responders, track real-time progress streaming and a unified activity feed for audits, reuse triage and escalation agent skills, and integrate with your CRM via CLI/API while keeping everything self-hosted
• Coordinate an end-to-end content production pipeline where autonomous agents draft, fact-check, and format content alongside human editors, monitor multi-runtime performance and live task status in the unified feed, apply reusable skills for summarization and SEO, and maintain control with self-hosted deployment and runtime management
• Build a software engineering workflow that assigns tasks to developers and AI code agents, streams live task progress and CI/test results, reuse build/test/verification agent skills across projects, and scale monitoring and orchestration across runtimes through CLI/API integrations on a self-hosted platform

Who is it for?

• Software engineers
• Devops engineers
• Product managers
• Qa engineers
• Security administrators