How to Use OpenClaw Background Tasks

Background tasks are OpenClaw's activity ledger for detached work. They matter because serious agent systems always end up doing things outside the main conversation, and once that happens you need a trustworthy record of what ran, whether it finished, and where to look when it did not.

What this feature is really for

The key line in the docs is that tasks are records, not schedulers. That sounds small, but it changes how you design your system. Cron decides when a job starts. Sessions and subagents decide where it runs. The task record is the durable trail that says a run was queued, started, succeeded, failed, timed out, or was cancelled. If you treat tasks like the place to express scheduling policy, you end up fighting the product instead of using it.

The win is not that OpenClaw gained another abstraction. The win is that you can stop stuffing long operational instructions into ad hoc chat messages and move them into something the gateway can apply consistently. That gives you cleaner sessions, fewer repeated prompts, and much less drift between what you meant and what the agent actually does.

How to set it up without making a mess

The quick-start commands are straightforward and worth memorizing. List tasks when you want a recent ledger. Show a specific task when you want details by ID, run ID, or session key. Cancel when you need to stop a child run. Use notify when you want state-change notifications, and audit when you suspect drift or bad cleanup. The state model is also documented clearly: queued to running to a terminal state such as succeeded, failed, timed_out, cancelled, or lost.

# List all tasks
openclaw tasks list

# Filter by runtime or status
openclaw tasks list --runtime acp
openclaw tasks list --status running

# Show details for a task
openclaw tasks show <lookup>

# Cancel a task
openclaw tasks cancel <lookup>

# Change notification policy
openclaw tasks notify <lookup> state_changes

• Use tasks to inspect detached work, not to decide when work should happen.
• Expect cron runs, ACP runs, CLI runs, and subagents to create task records.
• Prefer push-driven completion notifications over status polling loops.
• Use task audit when the system feels off and you want the ledger to explain itself.

How I would operate it day to day

In practice, background tasks become your sanity layer. When someone says “the run never finished,” you no longer need a ghost story about the agent maybe having thoughts somewhere. You can inspect the task ledger, match a session key, and see whether the work is running, dead, or merely waiting for a follow-up event. That is also why the docs push against polling loops. Detached work should wake the requester when it finishes instead of training operators to babysit it.

The common mistake is mixing up tasks and sessions. A session is the conversational context. A task is the detached execution record. Another mistake is forgetting that not every chat turn creates a task. Heartbeat turns and ordinary interactive replies do not. If you internalize that split, the whole detached-work model becomes much easier to reason about.

Once you see tasks as the ledger rather than the engine, OpenClaw's background model becomes pleasantly unsurprising. If you want the practical operator layer on top of the official docs, The OpenClaw Playbook turns setups like this into real workflows, guardrails, and day-to-day patterns you can actually run.

That predictability pays off fast when you start stacking subagents, ACP runs, and cron-driven work. The more detached execution you have, the more valuable it is to know that every important background lane leaves behind a common record with a common lifecycle.