* fix(routing): rename /new-workspace to /workspaces/new + extend reserved slug list
Two related changes:
1. Rename the global workspace-creation route from /new-workspace to
/workspaces/new. The hyphenated word-group `new-workspace` is a
common user workspace name (last deploy was blocked by a real user
with exactly this slug). Industry consensus from auditing Linear,
Vercel, Notion, Slack, GitHub: zero major SaaS uses hyphenated
word-group root routes — they all use single words or `/{noun}/{verb}`
pairs. Reserving the noun `workspaces` automatically protects the
entire `/workspaces/*` subtree, so future workspace-related routes
(`/workspaces/{id}/edit`, `/workspaces/{id}/billing`, etc.) need no
additional reserved slugs or audit migrations.
2. Extend the reserved slug list to cover the minimal set recommended by
the URL-design audit: full auth flow vocab, RFC 2142 mailbox names
(postmaster, abuse, noreply...), hostname confusables (mail, ftp,
static, cdn...), and likely-future platform routes (docs, support,
status, legal, privacy, terms, security, etc.). Production data
audit confirmed zero conflicts for every newly added slug, so
migration 047 (the safety net) passes cleanly.
Slugs intentionally NOT added despite being in scope of the audit:
admin, multica, new, setup, www. Each has one production workspace
already using it; adding them now would block deploy. They will be
handled in a follow-up PR via owner outreach + targeted rename.
Also adds a CLAUDE.md convention rule: new global routes MUST use a
single word or `/{noun}/{verb}` pair, never hyphenated word groups.
This prevents the pattern from regenerating itself.
This PR does NOT resolve the currently-blocked prd deploy — that requires
the existing `slug='new-workspace'` workspace (owner: Dhruv Raina) to be
renamed by ops. After that workspace is renamed and migration 046 passes,
this PR's migration 047 will also pass on its first run.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* review: drop migration 046, sweep stale comments, drive reserved test from map
Address code review on PR #1188:
1. Delete migration 046 (audit_new_workspace_slug). It audits "new-workspace"
which is no longer a reserved slug after this PR's rename. Removing 046
has an unexpected upside: it directly unblocks the currently-stuck prd
deploy. Migration 046 had never successfully applied (it was the source
of the deploy block); the audit-only nature means down-rollback is a
no-op. The user workspace previously caught by 046 (slug='new-workspace',
owner: Dhruv Raina) is now safe — `new-workspace` is no longer reserved,
so the slug correctly resolves to that workspace and the global route
`/workspaces/new` doesn't shadow it.
2. Refactor workspace_test.go to drive its reserved-slug list from the
reservedSlugs map directly via `for slug := range reservedSlugs`. The
previous hand-copied list was already drifting (40-ish entries vs 58 in
the map). Now drift is impossible.
3. Sweep ~10 stale `/new-workspace` references in code comments to
`/workspaces/new`. Comments only — runtime unchanged. The references
in reserved-slugs.ts/workspace_reserved_slugs.go and CLAUDE.md are
intentionally kept as anti-pattern examples ("don't add hyphenated
word-group root routes like /new-workspace").
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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, OpenClaw, OpenCode, Hermes, Gemini, Pi, and Cursor Agent.
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.
- Autonomous Execution — set it and forget it. Full task lifecycle management (enqueue, claim, start, complete/fail) with real-time progress streaming via WebSocket.
- 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-hostRequires 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, openclaw, opencode, hermes, gemini, pi, cursor-agent) 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, OpenClaw, OpenCode, Hermes, Gemini, Pi, or Cursor Agent). 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.
Multica vs Paperclip
| Multica | Paperclip | |
|---|---|---|
| Focus | Team AI agent collaboration platform | Solo AI agent company simulator |
| User model | Multi-user teams with roles & permissions | Single board operator |
| Agent interaction | Issues + Chat conversations | Issues + Heartbeat |
| Deployment | Cloud-first | Local-first |
| Management depth | Lightweight (Issues / Projects / Labels) | Heavy governance (Org chart / Approvals / Budgets) |
| Extensibility | Skills system | Skills + Plugin system |
TL;DR — Multica is built for teams that want to collaborate with AI agents on real projects together.
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 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, OpenCode,
OpenClaw, Hermes, Gemini,
Pi, Cursor Agent)
| 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, OpenClaw, OpenCode, Hermes, Gemini, Pi, or Cursor Agent |
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.

