ee4ec3b76d
* fix(daemon): cleanup .agent_context / .multica / provider skill sidecars after local_directory tasks (MUL-2784) PR #3438 (MUL-2753) only restored CLAUDE.md / AGENTS.md / GEMINI.md to their pre-task bytes; the sidecar tree writeContextFiles seeds (.agent_context/, .multica/, .claude/skills/, .github/skills/, .opencode/skills/, skills/, .pi/skills/, .cursor/skills/, .kimi/skills/, .kiro/skills/, .agents/skills/, fallback .agent_context/skills/) was explicitly deferred to this follow-up. In local_directory mode the agent's workdir is the user's repo, so each task accumulates one more layer of those directories in the user's tree. Plan A: track every file/dir Prepare creates inside workDir in a sidecarManifest written to envRoot/.multica_sidecar_manifest.json (daemon scratch — never in the user's workdir). On local_directory teardown CleanupSidecars walks the manifest, removes the recorded files, then rmdir-iterates the recorded directories in reverse. Pre-existing files and directories are deliberately NOT recorded, so a user-installed .claude/skills/my-own-skill/ sibling — or any unrelated file the user keeps under .claude/, .github/, etc. — is preserved bit-for-bit. Non-empty rmdir fails ENOTEMPTY and is silently skipped, which is the signal that the user owns the directory. Daemon wiring lives next to the existing CleanupRuntimeConfig defer in runTask: runtime brief first, sidecars second. Cloud-mode runs still write a manifest for symmetry but never trigger the cleanup (the GC loop wipes envRoot wholesale). Tests (sidecar_manifest_test.go) cover the round-trip invariant per the issue's acceptance criteria: - empty workdir → Prepare → Cleanup → empty workdir, byte-exact, for every file-based provider (claude, codex, copilot, opencode, openclaw, hermes, pi, cursor, kimi, kiro, antigravity, gemini), - user's .claude/skills/my-own-skill/ (and equivalents per provider) survives Cleanup intact, - unrelated user files under .claude/, .github/, etc. survive, - three repeated cycles do not accumulate any orphan state, - project_resources branch (.multica/project/resources.json) is also reversible, - recordWriteFile refuses to record pre-existing files, - recordMkdirAll refuses to record pre-existing dirs, - Cleanup is a no-op when the manifest file is missing. Co-authored-by: multica-agent <github@multica.ai> * fix(daemon): refuse to overwrite pre-existing sidecar paths; pick collision-free skill slugs (MUL-2784 review) Addresses PR #3444 review (Elon): **Must-fix #1**: recordWriteFile used to overwrite pre-existing target files unconditionally and only skip the manifest record. That destroys user bytes at write time AND leaves the corrupted contents in place at cleanup time — the byte-exact contract the issue requires is violated on both halves. Fixed by making recordWriteFile detect any pre-existing entry (regular file, symlink, directory) via Lstat and return a sentinel errPathPreExists without touching the path. The user's bytes are preserved verbatim. For per-skill collisions (user's .claude/skills/issue-review/ vs Multica's "Issue Review"), writeSkillFiles now allocates a collision-free sibling slug via allocateCollisionFreeSkillDir: first attempt is the natural slug, then `<base>-multica`, `<base>-multica-2`, …, bounded at 64 attempts. Provider-native discovery still picks the skill up (every subdir under skillsParent is a distinct skill) and the user's path stays bit-for-bit intact. For Multica-only namespace files (.agent_context/issue_context.md, .multica/project/resources.json), the writer swallows errPathPreExists and continues — the runtime brief already carries every fact those files would, so a collision degrades to brief-only mode rather than destroying user content. **Must-fix #2**: Added byte-exact collision matrix tests covering every file-based provider (claude / codex / copilot / opencode / openclaw / hermes / pi / cursor / kimi / kiro / antigravity / gemini): - TestPrepareThenCleanupSidecarsSameSlugCollisionPerProvider: seeds user's `<provider>/skills/issue-review/SKILL.md` plus a private notes.md sibling, runs Prepare → Inject → Cleanup, asserts workdir snapshot is byte-identical to seed. - TestPrepareThenCleanupSidecarsIssueContextCollisionPerProvider: seeds user's `.agent_context/issue_context.md`, asserts round-trip preserves it. - TestPrepareThenCleanupSidecarsProjectResourcesCollisionPerProvider: same for `.multica/project/resources.json`. - TestPrepareThenCleanupSidecarsMultiSkillCollisionFreeAllocation: end-to-end check that the Multica skill lands at the collision-free sibling and Cleanup removes only the Multica side. - TestAllocateCollisionFreeSkillDir: directed unit test pinning the slug-bumping sequence. - TestRecordWriteFileRefusesToOverwritePreExistingFile (was TestRecordWriteFileSkipsPreExistingFile): flipped to assert the user's bytes survive and errPathPreExists is returned. - TestRecordWriteFileRefusesToOverwriteSymlinkOrDir: covers the Lstat path for non-file entries. **Should-fix**: CleanupSidecars used to swallow ANY non-ENOENT rmdir error as "user content present," silently dropping real I/O failures (EACCES, EPERM, EBUSY). Now it re-reads the directory after a failed rmdir via the new dirHasEntries helper — non-empty → silently skip (ENOTEMPTY, the intended branch); empty → genuine error, captured into firstErr and surfaced. Plus directed tests: - TestCleanupSidecarsSurfacesRealRmdirErrors - TestDirHasEntries Local verification: - go test ./internal/daemon/execenv/... — all green - go test ./internal/daemon/... — all green - go vet ./... — clean Co-authored-by: multica-agent <github@multica.ai> * fix(daemon): surface original rmdir error when post-rmdir ReadDir also fails (MUL-2784 review) Addresses remaining PR #3444 review blocker (Elon): dirHasEntries used to return true when ReadDir failed with anything other than ENOENT, which made CleanupSidecars treat every locked / faulted directory as ENOTEMPTY and silently drop the original rmdir error. The v1 fix from the previous round closed the EACCES-on-empty-dir branch but missed the case where the chmod also blocks ReadDir — exactly the failure mode the review called out. Helper change: dirHasEntries now returns (hasEntries, ok bool): - (false, true) — dir exists and is empty (or missing, race-safe) - (true, true) — dir has user content (the ENOTEMPTY branch) - (_, false) — ReadDir failed (EACCES, ENOTDIR, EIO, …); the caller cannot tell ENOTEMPTY from a real error and MUST surface the original rmdir error CleanupSidecars switches on (ok, hasEntries): - !ok → surface the ORIGINAL rmdir error (not the ReadDir failure — that's diagnostic plumbing and would distract from the root cause) - ok && hasEntries → swallow silently (intended ENOTEMPTY branch; preserve user content) - ok && !hasEntries → surface the rmdir error (empty dir + EACCES / EPERM / EBUSY → genuine cleanup failure) Tests: - TestDirHasEntries: extended with a regular-file sub-case (ReadDir returns ENOTDIR) asserting (false, false). The v1 helper returned (true) here, hiding the bug. - TestCleanupSidecarsSwallowsMissingAndNonEmptyDirs: renamed from TestCleanupSidecarsSurfacesRealRmdirErrors. The old name claimed to test the surfacing path but never actually exercised it. - TestCleanupSidecarsSurfacesEACCESOnEmptyRecordedDir: chmod parent to 0o555 so rmdir(recorded) fails EACCES while ReadDir(recorded) still succeeds (empty). Asserts firstErr is non-nil and references both the recorded path and the rmdir branch. Skipped when running as root (chmod is bypassed for uid 0). - TestCleanupSidecarsSurfacesEACCESWhenReadDirFailsToo: the must-fix case — chmod parent 0o555 AND chmod recorded 0o000 so BOTH rmdir and ReadDir fail. The surfaced error must be the ORIGINAL rmdir failure, not the ReadDir one. Skipped on uid 0. Local verification: - go test ./internal/daemon/execenv/... — all green - go test ./internal/daemon/... — all green - go vet ./... — clean Co-authored-by: multica-agent <github@multica.ai> --------- Co-authored-by: J <j@multica.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, 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.