b5de04da59
* fix(daemon): platform-aware Codex sandbox config to unbreak macOS network On macOS, Codex's Seatbelt sandbox in workspace-write mode silently ignores '[sandbox_workspace_write] network_access = true' (see openai/codex#10390). That blocks DNS inside the sandbox, so 'multica issue get' and other CLI calls fail with 'dial tcp: lookup ...: no such host' — this is what caused MUL-963. Changes: - New server/internal/daemon/execenv/codex_sandbox.go: picks a sandbox policy based on runtime.GOOS and the detected Codex CLI version. Non-darwin or darwin with a known-fixed version keeps workspace-write + network_access=true; older darwin falls back to danger-full-access and logs a warn with upgrade hint. The fix-version threshold is a single constant (CodexDarwinNetworkAccessFixedVersion) so it's easy to bump once upstream ships. - Per-task config.toml now gets a 'multica-managed' marker block (BEGIN/END comments) rewritten idempotently; user-owned keys outside the markers are preserved. Legacy inline sandbox directives from earlier daemon versions are stripped on migration. - execenv.PrepareParams gains CodexVersion; execenv.Reuse takes a codexVersion arg; daemon.go caches detected versions at registration and threads them through to Prepare/Reuse. - Replaces the old ensureCodexNetworkAccess tests with platform-parameterised coverage (linux vs darwin, idempotency, legacy-migration, policy matrix). - docs/codex-sandbox-troubleshooting.md: symptom fingerprint table, decision matrix, self-check commands, trade-offs. Refs: MUL-963 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(daemon): hoist managed sandbox block above user tables (MUL-963) Review on #1246 flagged that upsertMulticaManagedBlock appended the managed block to EOF. If the user's config.toml ends inside a TOML table (e.g. [permissions.multica] or [profiles.foo]), a trailing bare sandbox_mode = "..." is parsed as a key of that preceding table, so Codex silently ignores the policy the daemon meant to apply. Two changes make the block position-independent: - renderMulticaManagedBlock now emits only top-level key=value lines and uses TOML dotted-key form (sandbox_workspace_write.network_access = true) instead of opening a [sandbox_workspace_write] header. The block therefore neither inherits from nor leaks into any surrounding table. - upsertMulticaManagedBlock always hoists the block to the top of the file (stripping any previously written managed block first), so the sandbox_mode line is always at the TOML root regardless of what the user put below it. This also migrates configs written by the original PR #1246 logic where the block was trapped behind a user table. Added tests for the regression scenario (pre-existing [permissions.*] table) and the legacy-trailing-block migration; updated the existing Linux default test and the troubleshooting runbook to reflect the dotted-key form. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: CC-Girl <cc-girl@multica.ai> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.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
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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, 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.