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Multica
Multica is a task collaboration platform where people and AI agents share issues, comments, assignments, projects, and workspaces.
Its server keeps the collaboration record, while a daemon on the user's machine hands agent tasks to installed coding tools such as Codex, Claude Code, Cursor, OpenCode, and others. The repository also includes a self-hosted server path, CLI, desktop clients, scheduled Autopilots, and squad-style routing. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A shared task board for people and agents
Multica lets an agent appear as a workspace member that can be assigned an issue, mentioned in a comment, contacted in chat, or triggered by scheduled work.
Why it stands out
The coding tools run on your machine
The Multica server coordinates tasks and collaboration data, but the current execution path uses a local daemon to drive coding tools already installed on the user's computer.
Availability
Public source with a self-hosted setup path
The public repository includes the server, web and desktop clients, daemon, CLI, Docker Compose and Kubernetes deployment materials, documentation, and frequent v0.4-series releases. Its custom Multica License adds conditions beyond the included Apache 2.0 text.
Why it matters
What makes it useful
Multica gives a small team one place to see which person or coding agent owns a task, what is running, where progress was reported, and what happened next. That makes several agent tools easier to coordinate than separate terminal sessions and copied prompts.
What to know
Where it fits
Read it as the project and collaboration layer around coding agents, not as a model or a replacement for the coding tools themselves. It is most relevant when a team wants issues, comments, schedules, routing, and run status to stay together while agents execute on connected machines.
Notable points
What stands out
Expect the setup to keep moving: Multica is still in its v0.4 series, releases frequently, and changes which coding-agent runtimes it supports. Before relying on one integration, check the current docs and release notes.
Before using
What to review
Which coding tools are installed and logged in on each connected machine, and which workspace or runtime should receive each agent task.
The security model before connecting important repositories: agent tasks run with the permissions of the user who starts the daemon, so the docs recommend a dedicated user, container, or virtual machine for stronger isolation.
Current Multica Cloud availability, or whether a self-hosted server is the better fit, and which collaboration data, credentials, attachments, and project records each setup stores.
The full Multica License before commercial hosting, embedding, redistribution, interface rebranding, or other use that may fall under its extra conditions.
Current docs and release notes before relying on a particular coding-tool integration or young v0.4-series workflow.
Reader fit
Who may find it relevant
Small development teams coordinating several coding agents through ordinary issues, comments, and assignments.
People comparing hosted and self-hosted collaboration layers that can drive more than one coding-agent tool.
Builders who want scheduled agent work, team routing, and visible task state instead of separate terminal runs.
Less relevant for readers who want a general chatbot, a model checkpoint, or a coding assistant with no local setup.
Editorial note
Why LifeHubber lists it
LifeHubber lists Multica because it makes the handoff around coding agents visible: who owns the issue, which connected tool runs it, where progress appears, and how people step back into the work when judgment is needed.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Compare what sits behind the agent task board.
Multica keeps issues, people, agents, and run status together. These next pages compare a work-queue specification, a coding-agent control center, and the project record that should stay useful when the agent setup changes.
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