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What is agent parallel execution?
Agent parallel execution runs multiple subtasks or roles concurrently — research ten accounts, score ten tickets — with concurrency limits, isolated scopes, and merge steps so speed does not become chaos.
In depth
Parallelism wins on embarrassingly parallel queues: enrichment, classification, batch reports. It loses when tasks share mutable state without coordination.
Safe parallel patterns:
- Map-reduce — N workers produce drafts; merge role consolidates - Concurrency cap — max 5 simultaneous connector calls per role - Isolated credentials — workers don't share write scopes - DAG scheduling — parallel only where dependencies allow
Risky patterns: two roles writing same CRM record; unbounded fan-out burning budget; parallel external sends without per-item Ask.
Neuro OS budgets and connector rate limits make parallelism governed speed, not a fork bomb.
Examples
- Enrich 50 leads in parallel; merge dedupes by domain
- Classify 200 tickets; route buckets to specialist roles
- Parallel research streams merged into one brief artifact
- Cap — max 3 concurrent browser tool sessions
Related terms
FAQ
Parallel vs multi-agent?
Parallel is same role many items; multi-agent is different roles coordinated.
When not to parallelize?
When steps depend on sequential judgment or shared mutable state.
Run governed agent roles on a company OS — not only definitions in a glossary.