Multica is a mission-control layer for teams working with AI coding agents. It plans work on a shared board, delegates tasks to agents such as Claude Code, Codex, Cursor, Copilot, and Gemini, and brings the results back for human review and merge. It suits engineering teams that already run coding agents and want oversight instead of chat-window chaos. Founded in 2026, it is a young beta-stage project under active development, free during the beta, with a self-hosted Docker Compose install and a managed cloud in waitlist.[1][2]
Quick verdict
Teams already delegating to coding agents will get the most from Multica. Its board, progress tracking, and review guardrails turn scattered agent sessions into supervised work. Solo developers happy inside a single agent CLI and teams needing a proven enterprise tracker should look elsewhere. If you coordinate agents across tasks and require human review before merge, choose Multica; if you want one agent in one terminal, stay with the agent itself.[1][2]
Key features
Tasks are assigned from a shared board, and agents pick them up and work autonomously while progress stays visible.[1]
Delegation targets include Claude Code, Codex, Cursor, Copilot, and Gemini, so teams are not locked to one vendor.[1]
Agents keep working after you close the machine, and the session is there when you return.[1]
GitHub, Linear, Jira, and Notion stay in step with agent tasks, and Slack announces status changes.[1][2]
Agent output returns for human review, guided by AGENTS.md files and team-authored skills.[1]
Separate tasks run in isolated worktrees, so concurrent agent work does not collide.[1]
Keystrokes stay on the machine and the screen is never recorded, backed by a SOC 2 Type II report and a kill switch.[1]
Run the stack on your own VM with Docker Compose or Kubernetes, or join the waitlist for Multica Cloud.[1][2]
Who will love it
The board plus multi-agent delegation fits shops where Claude Code, Codex, and Cursor sessions multiply faster than anyone can supervise. Oversight lands in one place instead of five chat windows.[1]
Background runs in isolated worktrees suit engineers who fan out independent tasks and review results later. The laptop can close while the work continues.[1][2]
Guardrails, AGENTS.md guidance, and shared skills suit teams that want agent speed without surrendering the merge decision. Every change still passes human eyes.[1]
Who should avoid it
Anyone whose whole workflow is a single terminal session gains little from a mission-control board. The agent itself plus git is simpler and cheaper in attention.[1]
Multica is a 2026 beta with a waitlisted cloud and no documented SSO, SLA, or enterprise plan. A regulated organization should keep its existing system of record.[1]
The custom Multica License restricts third-party hosting without a commercial license, so hosting it as a service for others is off the table. Teams should read the license file before planning anything beyond self-hosting their own work.[1]
Alternatives and compatibility
Against Linear or Jira, choose the tracker when the system of record and mature permissions matter; choose Multica when the work being tracked is performed by coding agents that need delegation and supervision. Multica syncs with both rather than demanding a move.[1][2]
Against a bare agent CLI such as Claude Code or Codex, choose the CLI when one developer drives one session interactively; choose Multica when several agents run supervised tasks in parallel.[1]
Against agent frameworks that build agents, choose the framework when the job is constructing new agents; choose Multica when the job is managing finished coding agents as teammates.[1]
Questions worth asking
What is the best Multica alternative for traditional project tracking?
Linear or Jira remain the safer systems of record, since Multica is a 2026 beta without documented SSO or SLA. Multica fits best alongside them, syncing agent tasks both ways.[1]
Is Multica really no-code?
No. Board assignment and review are visual, but setup runs through Docker Compose or an install script plus CLI and daemon commands, and real use assumes repositories, git worktrees, and coding-agent accounts.[1]
How much does Multica cost per month?
The product is free during the beta, as stated on the official homepage. No paid tiers are documented on the observed pages, so post-beta pricing is unknown; model and agent usage is billed separately by those providers. Prices checked October 11, 2026.[1]
Can you self-host Multica?
Yes. The official quickstart installs the full stack with two commands via Docker Compose on a single VM using official container images, with an install-script path for occupied ports and Kubernetes support documented. Desktop and CLI clients connect with an Add a computer step.[1]
Sources and editorial review
Source research. Reviewed on October 11, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Multica official homepage
official · Observed October 11, 2026
Official homepage: mission-control positioning, named agents, board, integrations, guardrails, privacy, SOC 2, surfaces, founding year, beta pricing, AI-native. Read October 11, 2026.
- multica-ai/multica repository
official · Observed October 11, 2026
Repository page: description, quickstart, self-host, Desktop, CLI, Cloud waitlist, docs links, languages, activity, homepage field. Read October 11, 2026.
- Multica LICENSE
official · Observed October 11, 2026
Full license text: Apache 2.0 plus additional conditions on third-party hosting, attribution, and trademarks. Read October 11, 2026.
- Multica self-host quickstart
official · Observed October 11, 2026
Two-command Docker Compose and install-script setup, ghcr.io images, Desktop and CLI connect, daemon architecture, worktrees, Cloud alternative. Read October 11, 2026.
- Multica docs index
official · Observed October 11, 2026
Docker and Kubernetes self-hosting, VCS integrations, Slack, daemon, CLI, skills, kill switch. Read October 11, 2026.
Compared with these products
No explicit proprietary baseline is recorded.