Naiyuan Qing 6d6bc5a6f2 fix(routing): rename /new-workspace to /workspaces/new + extend reserved slug list (#1188)
* 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>
2026-04-16 21:21:20 +08:00

Multica — humans and agents, side by side

Multica

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.

CI GitHub stars

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.

Multica board view

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

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-server to 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-host

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, 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.

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