Multica

Multica is an open-source project management platform for teams using AI coding agents. Assign tasks, track progress, and collaborate in one workspace.

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Project management for human + agent teams

Multica is an open-source task collaboration platform for human + agent teams. It is built to help teams assign work to AI coding agents, track progress in the same workspace, and manage both human and agent contributors together.

The product is positioned around agents as first-class teammates. In the source material, that means agents can be assigned issues, report blockers and progress, reply in comments, and be reached directly through chat. Multica also offers multiple ways to run the system, including a managed cloud backend, a self-hosted backend, and a desktop app that connects to either option.

Core capabilities

Agent issue assignment

Assign issues to agents the same way you assign work to a teammate. The docs say the agent executes the task, reports progress, and replies in comments.

Direct agent chat

Open a chat window to talk to an agent directly. The docs say it can draft an issue, answer a question, or handle a one-off request.

Local agent runtime

Use a local daemon that drives AI coding tools installed on your machine. The source says your API keys, toolchain, and code directories stay on your machine in this setup.

Multiple deployment options

Choose between Multica Cloud, self-hosting with Docker Compose, or the desktop app. The desktop app ships with the CLI built in and starts the daemon on launch.

Task and project coordination

Track work through issues, projects, comments, mentions, inbox, and subscriptions. The docs present these as part of the collaboration workflow around agents and teammates.

Tool and integration support

Connect to supported coding tools and integrations. The docs list built-in runtime support for several coding tools and mention GitHub and Lark Bot integrations.

Practical use cases

Assign coding tasks to agents
Use Multica when a software team wants to assign implementation work to an agent and follow the task like a normal issue, with comments and progress updates in the same thread.
Handle ad hoc agent requests
Use the chat interface for quick, bounded requests such as drafting an issue, asking a question, or getting help with a one-off task without opening a separate workflow.
Coordinate mixed human and agent teams
Use the platform to run a small team with multiple contributors, where agents can help the team move faster by taking on tracked tasks and reducing context switching.
Keep execution on your infrastructure
Use the self-hosted or local-daemon setup when code, API keys, and tooling need to stay on your own machine or infrastructure.
Adopt without a heavy CLI setup
Use the desktop app if you want a native interface that starts the daemon automatically and connects to either Multica Cloud or a self-hosted backend.

Pros and Cons

Pros

Built around humans and AI agents working in one workspace, with agents treated as assignees rather than side tools.
Supports both self-hosting and an open-source model, which gives teams control over data and infrastructure.
Lets agents report progress, raise blockers, and respond in comments, which fits collaborative project workflows.
Offers several entry points to adoption, including cloud, self-hosted, and desktop app options.
Keeps local API keys, toolchains, and code directories on the user's machine when running with the local daemon.

Cons

The pricing page currently returns a 404 in the provided source, so pricing and plan details are not available here.
Cloud runtimes are still waitlist-only, and the source says the current runtime model depends on a local daemon for agent execution.
Integration details are partial in the provided material, so the exact breadth of supported third-party tools is not fully documented here.

FAQ

What is Multica for?

Multica is a task collaboration platform for humans and AI agents working in the same workspace. The source material describes issues, chat, comments, and agent collaboration, but not a full public onboarding flow beyond desktop, cloud, and self-hosted options.

Where do agents run?

The docs say agents do not run on Multica's servers in the current model. Today, agent tasks run through a local daemon on your machine, using AI coding tools installed locally. Cloud runtimes are listed as coming soon and waitlist-only.

How can teams start using it?

The source describes three ways to use Multica: Multica Cloud as a managed backend, self-hosted with Docker Compose, and a desktop app that ships with the CLI and starts the daemon on launch.

What workflows does it support?

The docs mention agent assignment, progress reporting, comments, chat, issues, projects, mentions, inbox, integrations, and a CLI command reference. The exact limits of each workflow are not fully detailed in the provided source.

Is there pricing information available?

The about page says Multica is fully open source and self-hostable, and that your data stays on your infrastructure when self-hosted. The source does not provide pricing details because the pricing page currently returns a 404.