7bbca54e92
* feat(billing): test page consuming /api/cloud-billing/*
Stuffs every cloud-billing endpoint onto a single dev page so we can
verify the proxy + Stripe end-to-end flow without a designed UI.
Reachable at /<workspaceSlug>/billing — the page is account-level
data but lives under the workspace dashboard layout because that's
where the authenticated shell sits. No sidebar entry on purpose;
this is test-quality and meant to be deleted when the real billing
UI ships.
What's there:
* Balance card (GET /balance)
* Stripe-success polling banner — visible only when ?session_id=
is in the URL (Stripe substitutes it into checkout_success_url
on its way back). React Query refetchInterval polls every 2s
until the topup status reaches credited / failed / canceled,
then a 'Clear from URL' button calls navigation.replace(pathname).
* Buy section: server-authoritative price tier buttons (GET
/price-tiers) → POST /checkout-sessions → window.location to the
Stripe URL. We do NOT hard-code amounts on the frontend; tier
config lives in cloud's billing.price_tiers.
* Stripe Billing Portal button (POST /portal-sessions). Opens in a
new tab so the originating page stays put for easy verification.
Documented behaviour: 400 is expected for users with no Stripe
customer record yet.
* Three lists: transactions / batches / topups.
Plumbing:
* packages/core/types/billing.ts — interfaces mirroring the cloud
response shapes. Status / source / tx_type fields are typed
'string' rather than enum unions to match the schemas' z.string()
parsing (same convention as CloudRuntimeNode); the canonical
enum values are exported as separate type aliases for callers
that want to switch on them.
* packages/core/api/schemas.ts — 9 zod schemas + 7 EMPTY_ fallbacks,
all .loose() so a non-breaking cloud-side field addition doesn't
crash the parser.
* packages/core/api/client.ts — 8 methods using parseWithFallback,
matching the existing cloud-runtime shape.
* packages/core/billing/{queries,mutations,index}.ts — React Query
queryOptions + mutations. Notable choices: balance / lists are
NOT keyed on workspace (account-level data), and the
checkout-session polling stops automatically when status is
terminal so we don't poll forever after a user closes the tab.
* packages/core/package.json + packages/views/package.json — exports
map updated for @multica/core/billing and @multica/views/billing.
Verification:
* pnpm --filter @multica/core typecheck clean
* pnpm --filter @multica/views typecheck — only pre-existing
hast-util-to-html error in editor code (exists on main)
* pnpm --filter @multica/core test — 412 passing
* pnpm --filter @multica/views test — 877 passing, 1 failure
(editor/readonly-content) is also pre-existing on main, not
caused by this change
Out of scope: real production-quality billing UI; sidebar entry; i18n
strings; mobile app. This is a single test page; it gets replaced
when the real UI ships.
* fix(billing): refetch balance/lists when checkout polling reaches terminal
Closes the second-half of the Stripe-return race the previous commit
left dangling.
Symptom:
After Stripe redirects back with ?session_id=..., the banner polls
/checkout-sessions/{id} every 2s and the rest of the page (balance,
transactions, batches, topups) is fetched once on mount. The
webhook race means those four queries usually see pre-credit state
— but the banner is the only thing that keeps polling, so once it
reads 'credited' nothing else on the page knows. The user would
see 'Final status: credited' next to a stale balance card until
they manually refresh.
Fix:
Add useInvalidateBillingDataAfterCredit() in @multica/core/billing —
a hook returning a callback that flushes balance / transactions /
batches / topups (NOT the checkout-session itself; its
refetchInterval already terminated, refetching would just confirm
the same value). The Stripe-success banner runs this callback in
a useEffect keyed on terminal-status transition, so it fires
exactly once when the polling lands.
Strict scope is documented in the hook's JSDoc:
- balance/transactions/batches: only change at the 'credited'
transition (cloud writes ledger + batch + wallet in one DB tx)
- topups: changes on every terminal transition
- For 'failed' / 'canceled' we technically over-fetch the first
three; three cheap round-trips, simplifies the call site, fine
on a test page.
Effect dep is . terminal flips false→true at most once
per session id (the polling stops when terminal is true so the
data won't change again). If the user lands here with a session
that is already terminal (re-opened tab on a credited URL), the
effect still fires on first data load and we still re-fetch —
correct, the cached snapshot is just as stale in that case.
go build / pnpm typecheck / pnpm test clean (core 412 passing; only
pre-existing hast-util-to-html error in unrelated editor code on
views, same as on main).
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.
Website · Cloud · X · Self-Hosting · Contributing
English | 简体中文
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, GitHub Copilot CLI, OpenClaw, OpenCode, Hermes, Gemini, Pi, Cursor Agent, Kimi, and Kiro 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.
macOS / Linux (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.
Windows (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? 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.
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, copilot, openclaw, opencode, hermes, gemini, pi, cursor-agent, kimi, kiro-cli, agy) 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, GitHub Copilot CLI, OpenClaw, OpenCode, Hermes, Gemini, Pi, Cursor Agent, Kimi, Kiro CLI, or Antigravity). 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, GitHub Copilot CLI,
OpenCode, OpenClaw, Hermes, Gemini,
Pi, Cursor Agent, Kimi, Kiro 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, GitHub Copilot CLI, OpenClaw, OpenCode, Hermes, Gemini, Pi, Cursor Agent, Kimi, or Kiro 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.