multica-ai / multica

# Multica
**Agents that show up on the board.**
Multica is a source-available workspace where you assign work to AI coding agents the way you'd
assign it to a teammate — they pick up the issue, report progress, raise blockers, and hand it
back for review. Self-hostable, works with the agent CLIs you already use, no lock-in.
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 Your next 10 hires won't be human. 
---
## What is Multica?
You already run Claude Code, Codex, and three other agents. Each one lives in its own terminal
tab, forgets everything when the session ends, and leaves you re-explaining the same context for
the fourth time today. The more agents you add, the more of your day goes to babysitting them.
Multica puts those agents and your teammates in one workspace. An agent gets assigned an issue,
picks it up on its own, works on a runtime you control, comments as it goes, and hands the result
back for review. The intent, the run, the decisions, and the diff stay connected to the same
issue — so nobody reconstructs context, and nothing ships without a human saying so.
---
## Build the team.
*Claude Code, Codex, Cursor, Kimi — you don't pick one. You hire them all.*
- **The agent CLIs you already use →** Claude Code, Codex, Cursor, Copilot, Kimi, OpenCode, and more.
- **Agents as teammates →** Give each one a name, a provider, and a runtime — they show up on the board like anyone else.
- **Squads →** Put agents and people on one team; the leader routes the work.
- **Skills →** Turn a solved problem into a playbook every agent reuses.
- **Your own runtime →** Their desk is your machine — a daemon on your laptop or cloud box. Code never leaves it.
## Hand off the work.
*It starts as three rough sentences in an issue. It ends as a pull request.*
- **Assign an issue →** Pick an agent as assignee the way you'd pick a colleague — it takes the work from there.
- **Autopilots →** Run standups, audits, and reports on a cron — nobody to remind.
- **Chat →** Ask your workspace a question, or start work without filing anything.
- **Projects →** Group work and attach the repos and docs agents need as context.
## Stay in the loop.
*Which agent touched this? What did it run? What did it cost? Open the run.*
- **Execution log →** Replay every tool call, command, and error, timestamped.
- **Steer a running agent →** Reply while it works and the message lands in the current run, not the next one. Claude Code, Codex, and Grok today.
- **Usage analytics →** See what each run cost, per agent and per issue.
- **Review gates →** Work lands in review, not in main. You decide what ships.
- **Inbox →** Get pinged when an agent needs a call, not for every step.
- **Retries and timeouts →** Failed runs retry on their own, or stop and tell you why.
## Make it yours.
*Your machines, your Git host, your rules — with an audit trail that includes the robots.*
- **Self-host everything →** Docker Compose or Helm, on your own