c52ebeaa0f
* fix(chat): use a single New Chat draft, keyed by session not agent (MUL-4864)
An uncreated chat kept one draft per agent (`__new__:<agentId>`), so
switching the agent picker mid-compose swapped the draft out from under
the user and left invisible per-agent drafts behind. That slot shape was
never a product decision: it fell out of 34e452776, which keyed the
editor by agent to remount it and refresh the Tiptap placeholder. The
placeholder now syncs live, so the motive is gone — and mobile already
implements the target contract.
An uncreated chat now has ONE draft slot per workspace. `selectedAgentId`
is the send target, not draft ownership. Created sessions keep their own
per-session slots, so conversations stay isolated.
Three connected changes this needs to actually hold:
- Editor identity no longer tracks the agent. Keying it by agent kept the
draft slot correct but still remounted on switch, dropping whatever the
100ms draft debounce had not yet persisted — the last thing typed.
- The post-send "scrub the composer?" rule reads `activeSessionId` alone.
Moving the picker is no longer navigation, so counting it as such left
a completed send's text in the composer, primed to be sent a second
time to the agent just picked. Both send chains (the chat tab's
controller and the floating ChatWindow) now share one exported rule
rather than two copies of the predicate.
- Legacy `__new__:<agentId>` slots are folded on load. They carry no
timestamp, so when several exist none can be shown to be newest: adopt
the persisted `selectedAgentId`'s slot (the draft the workspace would
have opened with) and drop the rest — those extras are the invisible
multi-draft state this removes. Text and attachments migrate together
so a draft can't end up with another agent's files.
Tests cover the acceptance scenarios: agent switch preserves text,
attachments and the live editor instance; sessions stay isolated; the
first send clears the draft and routes to the agent selected at send
time; a failed create keeps the input; and the migration adopts, prunes,
persists, and is idempotent.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
* fix(chat): file unflushed keystrokes under the draft they were typed in (MUL-4864)
Review blocker: one editor instance serves every chat draft and its
onUpdate is debounced 100ms. Typing in session A and switching to B
inside that window fires the timer with B's draftKey in scope — because
onUpdate always resolves to the latest render's closure — writing A's
document into B's draft. Worse, ContentEditor's dirty guard suppresses
B's incoming sync while those unflushed bytes are live, so B's own draft
never loads and A's context could be sent to B's agent.
This predates the per-agent draft change: on main `editorKey` is
`selectedAgentId`, so any two sessions of the SAME agent already shared
one editor instance and already cross-wrote. Verified by running the new
regression against main's editor identity with the flush removed — it
fails there too. Unifying the New Chat draft widened the same hazard to
cross-agent switches, so it is fixed here rather than left latent.
Fix at the root: a debounced write must land on the key it was typed
under, not wherever the composer now points.
- ContentEditor gains `flushPendingUpdate()`: cancels the armed debounce
and hands its markdown back rather than firing it, and advances the
emit watermark so the editor reads clean and the dirty guard stops
blocking the incoming sync. Distinct from flushPendingOnUnmount — the
instance is alive, so it reads the live document.
- ChatInput flushes on draftKey change and commits the result to the
PREVIOUS key. useLayoutEffect, not useEffect: passive effects run
child-first, so a passive flush would land after ContentEditor's sync
had already skipped on a dirty editor; a layout effect is part of the
commit, so no pending timer can fire ahead of it.
- onUpdate and the flush now share one `commitDraft`, so text and
attachment pruning cannot diverge between the two paths.
Tests exercise the REAL debounce and REAL dirty guard, not an instant
mock onUpdate:
- chat-input-draft-isolation.test.tsx (new): mounts the real
ContentEditor with only Tiptap's primitive mocked. Pins A/B isolation
across a mid-debounce switch, that B's draft actually loads, that a
lazy session create keeps its bytes in the New Chat slot, and that an
agent switch still preserves the New Chat draft. Three of four fail
without the flush.
- content-editor.test.tsx: flushPendingUpdate hands back the pending
markdown, kills the timer, unblocks the next sync, and leaves the
guard intact when NOT flushed.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
* fix(chat): keep an in-flight upload bound to the draft it started in (MUL-4864)
Second review blocker. An upload PINS the editor to its source document:
Guard 0 refuses to setContent over an `uploading` node, because wiping it
strands the upload's finalize and the file silently vanishes. So while an
upload runs, the instance still holds A's document even though the user
has navigated to B — and the upload's own completion dispatch fires
onUpdate on that instance, which resolves to the latest render's closure.
Result: A's body and its attachment URL were written into B's draft, B's
own draft was destroyed, and A lost the upload it was waiting for.
Nothing stopped this: useUploadGate gates submit, not session/agent
navigation. Reproduced as a test before fixing — B's "B's own words" was
replaced by A's body + A's CDN URL.
Root cause is the same shape as the debounce bug, one level up: the
editor's writes were keyed off what is SELECTED, when they belong to what
is LOADED. Those are the same key except while an upload pins the
document.
- chat-input models that explicitly with `editorDraftKeyRef` — the draft
whose document the instance holds. Every editor-driven write (onUpdate,
the upload's attachment binding) uses it, not `draftKey`.
- The draft switch defers while `hasActiveUploads()`, leaving both the
document and its writes on the source key, then completes when the gate
clears. Blocking navigation instead would make the user wait on a
network round-trip to change tabs.
- The deferred case must force the adopt: ContentEditor's sync effect
CONSUMED the defaultValue change while Guard 0 was up
(lastDefaultValueRef advances before the guard), so it never re-runs and
B's draft would never load. New `adoptContent()` ref method lands it;
its body is the sync effect's own apply path, extracted so both agree.
- handleSend refuses while loaded !== selected. The upload gate covers
most of that window but not the sliver between the upload's final
dispatch and the adopt re-render — React flushes that on a scheduler
task, so Mod+Enter can land first.
Tests (real ContentEditor, real Guard 0, real debounce, real upload
lifecycle incl. the transaction that publishes the queue flip):
completing upload's markdown stays in the source draft and never reaches
the target; an attachment dropped while pinned binds to the source; the
target draft loads once the guard clears; send is refused mid-divergence.
Each verified to fail without its fix — the send guard initially passed
vacuously (the disabled SubmitButton swallowed the click) and now drives
the real Mod+Enter path.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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.
Website · Cloud · Discord · 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, CodeBuddy, GitHub Copilot CLI, OpenCode, OpenClaw, Hermes, Pi, Cursor Agent, Kimi, Kiro CLI, Antigravity, Qoder CLI, and Trae 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, codebuddy, copilot, opencode, openclaw, hermes, pi, cursor-agent, kimi, kiro-cli, agy, qodercli, traecli) 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, CodeBuddy, GitHub Copilot CLI, OpenCode, OpenClaw, Hermes, Pi, Cursor Agent, Kimi, Kiro CLI, Antigravity, Qoder CLI, or Trae CLI). 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, CodeBuddy, GitHub Copilot CLI,
OpenCode, OpenClaw, Hermes, Pi, Cursor Agent,
Kimi, Kiro CLI, Antigravity, Qoder CLI, Trae 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, CodeBuddy, GitHub Copilot CLI, OpenCode, OpenClaw, Hermes, Pi, Cursor Agent, Kimi, Kiro CLI, Antigravity, Qoder CLI, or Trae 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.