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Parallel Fan-out / Gather

Split a task across many agents in parallel; an aggregator merges the results.

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Definition

Split a task across multiple agents that execute concurrently, then an aggregator merges, votes on, or synthesizes the results.

Category: Information flow

When to use

Multi-perspective exploration, parallel retrieval, parallel code reading, log analysis, model ensembling.

When not to use

When the task is strongly order-dependent, when branches need shared mutable state, or when the budget is tight.

How to implement

  1. Before fanning out, give each branch a distinct goal — avoid duplicated work.
  2. Branches share read-only context by default, never the workspace.
  3. The gather step does deduplication, conflict detection, and evidence merging — not naive concatenation.
  4. Configure concurrency, timeouts, cancellation, and budget caps.

Minimal pseudocode

TypeScript
const branches = plan.branches.map(branch =>
  runWithTimeout(agentFor(branch).run(branch), branch.timeoutMs)
);
const results = await Promise.allSettled(branches);
return aggregator.run({ task, results });
  • fanout.started
  • branch.started
  • branch.completed
  • branch.timeout
  • gather.started
  • gather.completed

Common failure modes

  • Multiple agents do the same work.
  • The aggregator silently merges contradictory conclusions.
  • Concurrent writes corrupt a shared workspace.

Implementation checklist

  • Input/output schemas defined.
  • Each agent's permission boundary defined.
  • Every agent call carries a run id / trace id.
  • Failure, timeout, cancel, and retry strategies defined.
  • Context passed is the minimum required, not the full history.
  • High-risk actions are gated by approval or a verifier.

References