Deep Research

Orchestrate multi-phase deep research campaigns that gather, cross-reference, and synthesize information from multiple sources.

When to use

When you need to investigate a complex topic thoroughly — spanning web sources, codebase patterns, stored memory, and external documentation — and produce a structured synthesis.

Steps

1. Define research scope — break the question into 3-7 sub-questions that together answer the main question
2. Search existing knowledge — call mcp__claude-flow__memory_search_unified and mcp__claude-flow__agentdb_pattern-search to check what's already known
3. Web research — use WebSearch and WebFetch to gather external information for each sub-question
4. Codebase analysis — use Bash (grep/find), Read to examine relevant source files
5. Cross-reference — compare findings across sources, identify agreements and contradictions
6. Store findings — call mcp__claude-flow__memory_store with namespace research for each key finding
7. Store patterns — call mcp__claude-flow__agentdb_pattern-store for reusable patterns discovered
8. Synthesize — produce a structured research report with:
   • Executive summary (2-3 sentences)