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Parallel Research Workflow
Spawn multiple research agents in parallel to gather and synthesize information faster
Open Sourcefree
About
The Parallel Research workflow fans out a research question to multiple agents, each tasked with investigating a different angle, source, or sub-topic simultaneously. A synthesis agent then merges the findings, deduplicates overlapping information, and produces a structured report. This dramatically reduces wall-clock time for research-heavy tasks such as competitive analysis, literature reviews, or API surface exploration.
Details
| Pattern | parallel |
| Steps | Orchestrator decomposes research question into parallel tracks → Agent instances spawn concurrently, each covering one track → Each agent searches, reads, and summarizes its track → Synthesis agent merges all track summaries → Final structured report is returned to the user |
| Use Cases | Competitive landscape analysis, Third-party library evaluation, Multi-source documentation aggregation |
Tags
workflowmulti-agentresearchparallelclaude-code
Quick Info
- Organization
- DeepYard
- Pricing
- free
- Free Tier
- Yes
- Updated
- Mar 8, 2026
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