Spawning agents at scale.
One agent is useful. A hundred, spawned in parallel, scheduled, or triggered by your stack — that's a workforce. Spawnlabs handles the plumbing so you focus on what each agent does.
Spawning agents is creating workers, not asking questions.
Spawning is the verb that matters: each agent you spawn is a new, isolated worker with its own memory, its own tools, and its own access scope. Spawning agents in parallel, on schedules, and on triggers is how you go from a single chatbot conversation to a workforce of background workers running across your stack.
Four patterns that cover most production workloads. Combine freely.
Parallel sub-agents
A primary agent spawns N sub-agents to work on shardable subtasks simultaneously, then aggregates the results. Use for sourcing, research, multi-account analysis, or batch processing.
Scheduled spawns
Spawn an agent on a recurring cron or natural-language schedule ("every Monday at 9am", "first business day of each month"). The agent runs, posts results, and stays out of the way.
Triggered spawns
Spawn an agent on a real-world event — a webhook, a new row in a sheet, a Slack mention, an inbound email, a Stripe payout. The agent reacts, decides, acts, and reports back.
Library spawns
Browse the Spawnlabs agent library, find one a teammate or the community has already built, and spawn a copy in your workspace with one click. Customize after.
What does 'spawning agents' mean?
Spawning agents refers to the act of creating new, autonomous AI agent instances on demand — either one at a time or many in parallel. Each spawned agent has its own memory, tools, and access scope. On Spawnlabs, you spawn agents from chat, from the API, on a schedule, or in response to a real-world trigger.
When should I spawn multiple agents instead of one?
Spawn multiple when the work is shardable (independent subtasks that can run in parallel — e.g. researching 50 prospects, analyzing 20 accounts, processing a backlog), when you need separation of concerns (one agent per role, per inbox, per workflow), or when you want fault isolation (one agent failing shouldn't take the others down).
Can I spawn agents in parallel?
Yes. A primary agent can spawn N sub-agents to work on shardable subtasks simultaneously. Each sub-agent runs in its own isolated context. The primary aggregates the results and decides what to ship.
Can I spawn agents on a schedule?
Yes. Spawn an agent on a recurring cron schedule, a natural-language schedule ("every Monday at 9am"), or a one-off future time. The agent runs, posts results, and waits for the next firing.
Can I spawn agents from a webhook or event?
Yes. Spawn an agent in response to any event your stack emits — Slack messages, GitHub PRs, Stripe payouts, new sheet rows, inbound emails, or custom webhooks.
How many agents can I spawn at once?
Concurrent spawn limits scale with your plan. Starter supports modest fan-outs; Growth and Scale plans handle production multi-agent workloads. Enterprise customers can spawn agents inside their own VPC with no shared-tenant limits.
Can I spawn agents from the API?
Yes. The Spawnlabs API exposes a spawn endpoint for programmatic agent creation. Pass a description, a starting context, and an optional schedule or trigger.
What's the difference between spawning an agent and forking an agent?
Spawning creates a new agent from a description. Forking creates a new agent from an existing one — same memory, same tools, same access — and lets you diverge. Both are first-class operations on Spawnlabs.
Spawn your first agent. Then spawn the next 50.
Free to start. Every plan supports parallel, scheduled, and triggered spawns.