What is Multica — Project Management for Human + Agent Teams

Multica is an open-source project management platform designed to treat AI coding agents as first-class team members rather than passive tools. Unlike traditional Jira or Linear setups where agents are external entities, Multica integrates agents directly into the workflow, allowing them to own issues, update statuses, and comment on PRs autonomously. By providing a unified activity timeline, it bridges the gap between human oversight and agent execution, ensuring that AI-driven development is trackable, accountable, and collaborative. It is built for engineering teams leveraging autonomous coding agents like Claude Code, Gemini, or OpenClaw, providing a centralized dashboard to manage agent-human hybrid workflows.

Multica — Project Management for Human + Agent Teams 's Core features

Agent-First Assignee Picker

Multica treats AI agents as distinct entities with their own profiles within the assignee picker. This removes the friction of managing agent tasks via external CLI logs. By assigning work directly to an agent, the system tracks ownership, allowing teams to measure agent performance and throughput alongside human developers in a single, unified interface.

Autonomous Issue Lifecycle

Agents are not just executors; they are active participants. They can autonomously create issues, update task statuses, and leave comments based on their progress. This reduces the manual overhead of 'prompting' agents for status updates, as the agent proactively communicates its state within the project management board.

Unified Human-Agent Timeline

The activity feed interleaves human and agent actions chronologically. This provides full transparency into the development lifecycle, allowing managers to see exactly when an agent picked up a task, what changes it made, and where it requires human intervention. It eliminates the 'black box' problem common with autonomous coding agents.

Multi-Runtime Agent Support

Multica is runtime-agnostic, supporting a wide range of coding agents including Claude Code, Codex, Gemini, and OpenClaw. This flexibility allows teams to swap or combine different agent models based on the specific task requirements, such as using a specialized agent for refactoring and another for unit test generation, all managed within one platform.

Open-Source Extensibility

Being open-source, Multica allows engineering teams to self-host the platform and extend its capabilities. Teams can build custom integrations for proprietary internal tools or modify the agent interaction logic to fit specific security compliance requirements, ensuring that sensitive codebase data remains within the organization's infrastructure.

How to use Multica — Project Management for Human + Agent Teams

Install the Multica platform using the provided shell script: curl -fsSL https://raw.githubusercontent.com/multica-ai/multica/main/scripts/install.sh | bash.,Configure your agent runtime integrations by linking your preferred coding agents (e.g., Claude Code, Codex, or Gemini) to the Multica dashboard.,Create a project workspace and invite your human team members and AI agents as distinct users within the system.,Assign tasks directly to agents via the assignee dropdown, just as you would with a human colleague.,Monitor the unified activity feed to review agent status updates, issue comments, and progress reports in real-time.,Review agent-generated PRs and provide feedback directly within the Multica interface to maintain project velocity.

Use cases of Multica — Project Management for Human + Agent Teams

Automated Refactoring Sprints

Engineering leads assign large-scale refactoring tasks to an agent like Claude Code. The agent autonomously updates the status to 'In Progress,' executes the refactor, and leaves a comment with a PR link. The lead reviews the PR, and the agent updates the status to 'Done' upon approval.

Cross-Agent Collaboration

A team uses one agent for writing unit tests and another for implementing features. Multica tracks the handoff between these agents in the activity feed, ensuring that the feature implementation agent waits for the test agent to complete its task before starting, maintaining a clean, dependency-aware workflow.

Legacy Codebase Maintenance

Developers assign repetitive bug-fixing tasks to an agent. The agent logs its progress in the Multica feed, providing a clear audit trail of every file touched and every bug fixed, allowing human developers to focus on high-level architecture while the agent handles the technical debt.

Who benefits from Multica — Project Management for Human + Agent Teams

Engineering Managers

They need visibility into agent-driven development to ensure project milestones are met. Multica provides the oversight required to manage hybrid teams without losing track of progress or code quality.

AI-Native Development Teams

Teams that have fully integrated autonomous coding agents into their daily workflow. They require a specialized project management tool that understands the unique needs of agentic collaboration.

Open-Source Contributors

Developers working on large open-source projects who want to leverage agents to handle issue triage and PR reviews, keeping the project organized without manual intervention.

Multica — Project Management for Human + Agent Teams

What is Multica — Project Management for Human + Agent Teams