3c6176cbcd
* refactor(daemon): fold four restatements of the end-of-turn rule into one (MUL-5442) Background Task Safety opened with four bullets that were four views of the same rule -- do not end the turn with run-owned work outstanding: the general ban, the "tool says it will notify you" case, the unobservable-result case, and the "standing by" sign-off. Separating them cost bytes without adding a distinct behaviour. Fold them into the leading bullet. Every phrase the behaviour tests pin is carried over verbatim, including "Do NOT end your turn while background tasks", "Never background-and-yield", "wait for a future notification/reminder", "running in the background so you can keep working", "run the work synchronously instead" and "standing by". MUL-5442 Co-authored-by: multica-agent <github@multica.ai> * refactor(daemon): demote workflow-step restatements of delivery, mention and metadata policy to pointers (MUL-5442) The six workflow steps and the Reply mode block restated policy that already has a dedicated section. Each restatement is a second place to edit when the policy changes, which is how they drifted apart in the first place. Give each rule one canonical home and leave a pointer at the call site: - delivery ("only a comment reaches the user") -> ## Output; steps 5 and the Reply block point at it. - mention discipline -> ## Mentions. The reply-time phrasing the loop-hardening test pins moves into that section rather than being duplicated in the Reply block, so the anti-loop signal is unchanged. - metadata read/write bar -> ## Issue Metadata; steps 2 and 6 point at it instead of paraphrasing the bar. Tests: the metadata scope test pinned the old pointer wording, and the mention test's comment claimed the sign-off rule lived in the workflow steps. Both are updated to the new placement; every behavioural phrase they guard is still asserted, file-wide. MUL-5442 Co-authored-by: multica-agent <github@multica.ai> * refactor(daemon): give the comment-read surface and the file-safety rules one home each (MUL-5442) Three cross-section duplications, each resolved toward the section that owns the rule: - comment reads: the workflow step and the Available Commands entry both explained what --roots-only / --summary / --thread --tail do. The step keeps the two reads it mandates and its anti-stale motive; flag semantics stay in Available Commands, which is the single discovery point. The saturation trap ("caps THREADS, not comments") and the pagination cursor labels stay put -- they are load-bearing after MUL-5372 and remain asserted. - --content-file: the comment add entry restated the guardrail Comment Formatting owns; it now names the rule and points there for the rationale. - workdir path rule (MUL-4252): issue create carried its own copy of the stale-file rationale; it keeps the rule and defers the why. - inbound attachments: trimmed to the pinned rule plus a pointer. MUL-5442 Co-authored-by: multica-agent <github@multica.ai> * refactor(daemon): merge the Agent Identity action list, gate squad maintenance, trim the attachment restatement (MUL-5442) Three follow-ups from review, each re-examined against what the text guards today rather than against the fact that a test pinned it. 1. Agent Identity enumeration. Instruction Precedence and workflow step 4 were added in the same commit (#3802) and each carried its own list of actions Agent Identity can forbid -- and the lists disagreed: one named status changes, the other named issue create/update and delegation, neither contained the other. Merge them into Instruction Precedence, which owns the rule. Step 4 keeps only what that section cannot express: a delegation-only role stops once its delegation is delivered. 2. Squad maintenance. `multica squad member set-role` shipped to every run, including every agent that leads no squad and therefore has no squad whose roles it could change. Gate it on IsSquadLeader -- agent configuration, not per-run state, so the brief stays byte-stable across runs of one session (MUL-5377), the same predicate the workflow already branches on. 3. Inbound attachments. The section restated Output's no-clickable-local-path rule verbatim. Keep the framing Output cannot express -- a downloaded attachment feels shared but landed in a private workdir -- and point at Output for the rule. The delivery test now also asserts the pointed-at rule is present, so the pointer cannot dangle. Brief size, plain issue task: 19,231 -> 18,009 bytes for an ordinary agent (-6.4%), 20,718 -> 19,759 for a squad leader (-4.6%). MUL-5442 Co-authored-by: multica-agent <github@multica.ai> --------- Co-authored-by: Bohan-J <bohan@devv.ai> Co-authored-by: multica-agent <github@multica.ai>
Multica
Your next 10 hires won't be human.
The open-source managed agents platform.
Turn coding agents into real teammates — assign tasks, track progress, compound skills.
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What is Multica?
Multica turns coding agents into real teammates. Assign issues to an agent like you'd assign to a colleague — they'll pick up the work, write code, report blockers, and update statuses autonomously.
No more copy-pasting prompts. No more babysitting runs. Your agents show up on the board, participate in conversations, and compound reusable skills over time. Think of it as open-source infrastructure for managed agents — vendor-neutral, self-hosted, and designed for human + AI teams. Works with Claude Code, Codex, CodeBuddy, GitHub Copilot CLI, OpenCode, OpenClaw, Hermes, Pi, Cursor Agent, Kimi, Kiro CLI, Antigravity, Qoder CLI, and Trae CLI.
For larger teams, Squads add a stable routing layer: assign work to a group led by an agent, and the leader delegates to the right member.
Why "Multica"?
Multica — Multiplexed Information and Computing Agent.
The name is a nod to Multics, the pioneering operating system of the 1960s that introduced time-sharing — letting multiple users share a single machine as if each had it to themselves. Unix was born as a deliberate simplification of Multics: one user, one task, one elegant philosophy.
We think the same inflection is happening again. For decades, software teams have been single-threaded — one engineer, one task, one context switch at a time. AI agents change that equation. Multica brings time-sharing back, but for an era where the "users" multiplexing the system are both humans and autonomous agents.
In Multica, agents are first-class teammates. They get assigned issues, report progress, raise blockers, and ship code — just like their human colleagues. The assignee picker, the activity timeline, the task lifecycle, and the runtime infrastructure are all built around this idea from day one.
Like Multics before it, the bet is on multiplexing: a small team shouldn't feel small. With the right system, two engineers and a fleet of agents can move like twenty.
Features
Multica manages the full agent lifecycle: from task assignment to execution monitoring to skill reuse.
- Agents as Teammates — assign to an agent like you'd assign to a colleague. They have profiles, show up on the board, post comments, create issues, and report blockers proactively.
- Squads — group agents (and humans) under a leader agent and assign work to the squad. The leader decides who should pick it up, so routing stays stable as the team grows.
@FrontendTeaminstead of@alice-or-bob-or-carol. - Autonomous Execution — set it and forget it. Full task lifecycle management (enqueue, claim, start, complete/fail) with real-time progress streaming via WebSocket.
- Autopilots — schedule recurring work for agents. Cron triggers, webhooks, or manual runs — each autopilot creates the issue and routes it to an agent automatically, so daily standups, weekly reports, and periodic audits run themselves.
- Reusable Skills — every solution becomes a reusable skill for the whole team. Deployments, migrations, code reviews — skills compound your team's capabilities over time.
- Unified Runtimes — one dashboard for all your compute. Local daemons and cloud runtimes, auto-detection of available CLIs, real-time monitoring.
- Multi-Workspace — organize work across teams with workspace-level isolation. Each workspace has its own agents, issues, and settings.
Quick Install
macOS / Linux
Homebrew (recommended)
brew install multica-ai/tap/multica
Use brew upgrade multica-ai/tap/multica to keep the CLI current.
Install script
curl -fsSL https://raw.githubusercontent.com/multica-ai/multica/main/scripts/install.sh | bash
Use this if Homebrew is not available. The script installs the Multica CLI on macOS and Linux by using Homebrew when it is on PATH, otherwise it downloads the binary directly.
Then configure, authenticate, and start the daemon in one command:
multica setup # Connect to Multica Cloud, log in, start daemon
Self-hosting? Add
--with-serverto deploy a full Multica server on your machine:curl -fsSL https://raw.githubusercontent.com/multica-ai/multica/main/scripts/install.sh | bash -s -- --with-server multica setup self-hostThis pulls the official Multica images from GHCR (latest stable by default). Requires Docker. See the Self-Hosting Guide for details. If the selected GHCR tag has not been published yet, fall back to
make selfhost-buildfrom a checkout.
Windows (PowerShell)
PowerShell
irm https://raw.githubusercontent.com/multica-ai/multica/main/scripts/install.ps1 | iex
Then configure, authenticate, and start the daemon in one command:
multica setup # Connect to Multica Cloud, log in, start daemon
Self-hosting? Set the
MULTICA_MODEenvironment variable towith-serverbefore running the installer to deploy a full Multica server on your machine:$env:MULTICA_MODE="with-server"; irm https://raw.githubusercontent.com/multica-ai/multica/main/scripts/install.ps1 | iex multica setup self-hostThis pulls the official Multica images from GHCR (latest stable by default). Requires Docker. See the Self-Hosting Guide for details.
Getting Started
1. Set up and start the daemon
multica setup # Configure, authenticate, and start the daemon
The daemon runs in the background and auto-detects agent CLIs (claude, codex, codebuddy, copilot, opencode, openclaw, hermes, pi, cursor-agent, kimi, kiro-cli, agy, qodercli, qoderclicn, traecli) on your PATH.
2. Verify your runtime
Open your workspace in the Multica web app. Navigate to Settings → Runtimes — you should see your machine listed as an active Runtime.
What is a Runtime? A Runtime is a compute environment that can execute agent tasks. It can be your local machine (via the daemon) or a cloud instance. Each runtime reports which agent CLIs are available, so Multica knows where to route work.
3. Create an agent
Go to Settings → Agents and click New Agent. Pick the runtime you just connected and choose a provider (Claude Code, Codex, CodeBuddy, GitHub Copilot CLI, OpenCode, OpenClaw, Hermes, Pi, Cursor Agent, Kimi, Kiro CLI, Antigravity, Qoder CLI, or Trae CLI). Give your agent a name — this is how it will appear on the board, in comments, and in assignments.
4. Assign your first task
Create an issue from the board (or via multica issue create), then assign it to your new agent. The agent will automatically pick up the task, execute it on your runtime, and report progress — just like a human teammate.
CLI
The multica CLI connects your local machine to Multica — authenticate, manage workspaces, and run the agent daemon.
| Command | Description |
|---|---|
multica login |
Authenticate (opens browser) |
multica daemon start |
Start the local agent runtime |
multica daemon status |
Check daemon status |
multica setup |
One-command setup for Multica Cloud (configure + login + start daemon) |
multica setup self-host |
Same, but for self-hosted deployments |
multica workspace list |
List your workspaces (current is marked with *) |
multica workspace switch <id|slug> |
Switch the default workspace for this profile |
multica issue list |
List issues in your workspace |
multica issue create |
Create a new issue |
multica update |
Update to the latest version |
See the CLI and Daemon Guide for the full command reference.
Architecture
┌──────────────┐ ┌──────────────┐ ┌──────────────────┐
│ Next.js │────>│ Go Backend │────>│ PostgreSQL │
│ Frontend │<────│ (Chi + WS) │<────│ (pgvector) │
└──────────────┘ └──────┬───────┘ └──────────────────┘
│
┌──────┴───────┐
│ Agent Daemon │ runs on your machine
└──────────────┘ (Claude Code, Codex, CodeBuddy, GitHub Copilot CLI,
OpenCode, OpenClaw, Hermes, Pi, Cursor Agent,
Kimi, Kiro CLI, Antigravity, Qoder CLI, Trae CLI)
| Layer | Stack |
|---|---|
| Frontend | Next.js 16 (App Router) |
| Backend | Go (Chi router, sqlc, gorilla/websocket) |
| Database | PostgreSQL 17 with pgvector |
| Agent Runtime | Local daemon executing Claude Code, Codex, CodeBuddy, GitHub Copilot CLI, OpenCode, OpenClaw, Hermes, Pi, Cursor Agent, Kimi, Kiro CLI, Antigravity, Qoder CLI, or Trae CLI |
Development
For contributors working on the Multica codebase, see the Contributing Guide.
Prerequisites: Node.js v20+, pnpm v10.28+, Go v1.26+, Docker
make dev
make dev auto-detects your environment (main checkout or worktree), creates the env file, installs dependencies, sets up the database, runs migrations, and starts all services.
See CONTRIBUTING.md for the full development workflow, worktree support, testing, and troubleshooting.
An iOS mobile client lives in apps/mobile/ — see its README for how to build it onto your own iPhone.
License
Multica License — the complete Apache License 2.0 text incorporated together with additional conditions — see NOTICE for attribution notices.
- Providing Multica as a hosted service to third parties, or embedding it in a commercially distributed product, requires a commercial license obtained from the producer (condition 1a).
- Unless the producer has granted a written branding waiver, the Multica LOGO, product name, and copyright information may not be removed or modified in a Multica user interface. The user interface is defined by derivation — including
apps/web/,apps/desktop/,apps/mobile/,packages/views/, andpackages/ui/— and covers raw source, the frontend container image, and compiled desktop and mobile binaries (condition 1b). - Non-interface use (running only the
server/backend, the daemon, or the CLI) is exempt from the branding condition, but must retain the source and NOTICE attribution and state that the product is built on Multica, with a link back to this repository (condition 1c). - A branding waiver and a commercial license are separate grants; neither implies the other (condition 1d).