---
title: Daemon and runtimes
description: Agents don't run on Multica's servers — they run on your own machines.
---

import { Callout } from "fumadocs-ui/components/callout";
import { Mermaid } from "@/components/mermaid";

In Multica, [agents](/agents) do **not** run on our servers — they run on your own machines, driven by a small program called the **daemon** that invokes the [AI coding tools](/providers) installed locally. The Multica server only coordinates: it stores [issues](/issues), queues [tasks](/tasks), and dispatches them to the right **runtime** (runtime = daemon × one AI coding tool).

This structure is the biggest difference between Multica and Linear / Jira: **your API keys, toolchain, and code directories stay on your machine** — the Multica server never sees any of them. That means "my agent isn't working" is almost always a local problem — the daemon isn't running, an AI tool isn't installed, a key has expired. Check locally first; see [Troubleshooting](/troubleshooting) for a guide.

## Starting the daemon

The daemon is part of the Multica CLI. Once you've installed the [Multica CLI](/cli), run on your own machine:

```bash
multica daemon start
```

On startup it does four things:

1. Reads the credentials saved when you logged in
2. Detects AI coding tools installed on your `PATH` (12 built-in: [Antigravity](/providers#antigravity), [Claude Code](/providers#claude-code), [Codex](/providers#codex), [Cursor](/providers#cursor), [Copilot](/providers#copilot), [Gemini](/providers#gemini), [Hermes](/providers#hermes), [Kimi](/providers#kimi), [Kiro CLI](/providers#kiro-cli), [OpenCode](/providers#opencode), [OpenClaw](/providers#openclaw), [Pi](/providers#pi))
3. Registers itself with the server, along with a runtime for each detected tool
4. Keeps **polling every 3 seconds** for tasks to pick up, and **sends a heartbeat every 15 seconds**

Common commands:

| Command | Purpose |
|---|---|
| `multica daemon start` | Start (background by default; add `--foreground` to run in the foreground) |
| `multica daemon stop` | Stop |
| `multica daemon restart` | Restart |
| `multica daemon status` | Show status |
| `multica daemon logs` | Show logs (add `-f` to follow) |

Full CLI reference in [CLI commands](/cli).

**The desktop app ships with a daemon.** If you use the [desktop app](/desktop-app), you don't need to run `multica daemon start` manually — it launches the daemon automatically on startup. See the [Desktop app](/desktop-app) page for which option fits your workflow.

## Why one machine has multiple runtimes

A runtime is not a server and not a container — it's the combination of "**daemon × one AI coding tool**". For example: you start the daemon on a MacBook with both Claude Code and Codex installed, and you're a member of two workspaces. Multica then registers 4 runtimes:

<Mermaid chart={`
graph TD
    D["Your daemon<br/>MacBook"]
    D --> R1["Runtime<br/>Workspace A × Claude Code"]
    D --> R2["Runtime<br/>Workspace A × Codex"]
    D --> R3["Runtime<br/>Workspace B × Claude Code"]
    D --> R4["Runtime<br/>Workspace B × Codex"]
`} />

Key points:

- **One daemon can map to multiple runtimes** — one per combination of installed tool and workspace you belong to
- **The same daemon, workspace, and tool produces exactly one runtime** — restarting the daemon never creates duplicate records
- The **Runtimes** page in the Multica UI lists these rows

<Callout type="info">
**Cloud runtimes are coming**, currently in a waitlist phase. Once available, you'll be able to execute agent tasks directly on Multica Cloud without running a local daemon. Sign up with your email on the [download page](https://multica.ai/download) to get notified.
</Callout>

## When a runtime is marked offline

Multica uses heartbeats to decide whether a runtime is online. Three key numbers:

| Event | Threshold |
|---|---|
| Daemon heartbeat frequency | Every **15 seconds** |
| Marked as missing | No heartbeat for **45 seconds** (3 missed beats) |
| Auto-deleted | Missing with no associated agents for over **7 days** |

Missing is not permanent — as soon as the daemon sends another heartbeat it returns to online, and the runtime record is preserved. Restarting the daemon does not lose runtimes.

<Callout type="warning">
**Tasks running on a missing runtime are marked as failed** (failure reason `runtime_offline`). For retryable sources (issues, chat), Multica automatically requeues them; Autopilot-triggered tasks are not retried automatically. See [Tasks → Which failures retry automatically](/tasks#which-failures-retry-automatically-which-dont).
</Callout>

## How many tasks can run in parallel

Multica enforces concurrency limits at two layers:

- **Daemon layer**: **20 concurrent tasks** by default (tunable via env var `MULTICA_DAEMON_MAX_CONCURRENT_TASKS`)
- **Agent layer**: **6 concurrent tasks per agent** by default (configured per-agent)

The tighter of the two wins. If your daemon is already running 20 tasks, new tasks wait even if an agent still has headroom.

If you see tasks stuck in `queued` without moving to `dispatched`, one of these two limits is usually saturated.

## What happens to in-flight tasks after a daemon crash

When the daemon crashes or is force-killed, the tasks it had picked up are left in `dispatched` or `running`. On the next start, the daemon tells the server: "these tasks are no longer mine, please mark them failed." The server flips them to `failed` with reason `runtime_recovery` — for retryable sources, the tasks are automatically requeued.

Even if this step fails due to a network issue, there's a server-side scan **every 30 seconds** as a backstop: any runtime without a heartbeat for over 45 seconds is marked missing, and its tasks are reclaimed along with it.

## Troubleshooting agents that aren't working

When you hit a "my agent isn't working" problem, run this three-step checklist first:

1. Run `multica daemon status` — confirm the daemon is running and online
2. Run `multica daemon logs -f` — check for errors
3. Open the **Runtimes** page in the Multica UI — confirm your runtime shows "online"

More scenarios in [Troubleshooting](/troubleshooting).

## Next

- [Tasks](/tasks) — the full lifecycle of a task once the daemon picks it up
- [Providers Matrix](/providers) — capability differences across the 12 AI coding tools
