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  1. Docs
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  4. Subagents

Subagents & orchestration


Subagents are short-lived background agents that run in parallel to your main conversation. Use them to research, prototype, or investigate something without blocking your current work.

How to use them

From the dashboard (recommended)

Ask in any chat session:

  • "Research these three options in parallel and recommend one."
  • "Check my open CRs, the pipeline status, and whether the deploy landed — all at once."
  • "In parallel, run this test in 6 languages."

Crew spawns isolated subagents and brings their results back into your conversation. You don't need to invoke any command — the agent decides when parallel work makes sense.

You can also watch running subagents in the Activity panel: each one shows its task, elapsed time, and a Stop button.

From the CLI

bash
kirocrew spawn run "check my open CRs" # blocking — waits for the result kirocrew spawn run --async "check CRs" # fire-and-forget kirocrew spawn list # see running subagents

What you see

When subagents are running:

  • The Activity panel shows each one with its task description, elapsed time, and status (running / done / failed / stalled)
  • When a subagent finishes, its result is injected into your conversation — the agent summarizes it in its next response
  • For a batch of parallel work, results arrive incrementally as each subagent completes

You don't need to poll or check back — results come to you.

Isolated context

Each subagent gets its own independent session with full memory injection (your preferences, lessons, project context). But it doesn't see your current conversation's in-progress work — this keeps your main session lean and prevents subagents from interfering with each other.

Stopping and retrying

  • Stop one — click the Stop button on its row in the Activity panel
  • Stop all — header Stop-all control in the Activity panel
  • Retry a failed one — click "Retry" on a failed subagent's row (spawns a fresh attempt with the same task)

Stopping is neutral — partial output is preserved and marked as "stopped by user," not as a failure.

Limits

  • Concurrency — there's a cap on how many subagents run simultaneously (auto-sized based on your machine's resources, usually 3–32). Extra requests are queued until a slot opens.
  • Timeout — each subagent has a 30-minute hard timeout. If it's still running after that, it's force-stopped.
  • Stall detection — if a subagent shows no activity for ~2 minutes, a warning appears on its row. It's not auto-killed — you decide whether to stop it or let it continue.

Approval

Subagents inherit your session's approval mode:

  • Autopilot on — subagent tool calls are auto-approved (deny rules still apply)
  • Autopilot off — tool calls that need approval are either denied by default (headless channels) or prompt you (dashboard)

You don't configure approval per-subagent — it follows whatever your main session is set to.

Reading full results

When a subagent's output is long, your conversation gets a summary. To read the full transcript:

  • Click the subagent in the Activity panel to expand its output
  • Or ask: "show me the full output from subagent X"

Results are retained for about an hour after delivery, then cleaned up.

When to use subagents vs. other features

NeedUse
Parallel research or investigationSubagents — ask in chat
Recurring scheduled workCron & scheduling
Multi-step autonomous task with checkpointsTask Runner
Reactive monitoringScheduling (heartbeats section)
Page updated: August 4, 2026
Features
Scheduling