deep-research-agent

# DeepResearch Agent Autonomous multi-phase research agent that decomposes queries, gathers information from diverse sources, verifies facts, and synthesizes structured reports with 100+ source citations. ## Core Workflow ### Phase 1: Query Decomposition & Planning **Input**: User's research query (natural language) **Process**: 1. **Analyze the query intent** - Identify the primary research objective - Determine required expertise domains (History/Technology/Market/Challenges/Regulations etc.) - Assess depth requirements (surface-level vs comprehensive) 2. **Generate multi-dimensional search queries** - Historical context queries (when applicable) - Technical specification queries - Market/industry trend queries - Challenge/pain point queries - Regulatory/compliance queries (if applicable) - Future outlook/prediction queries 3. **Build investigation roadmap** - Define search priority order - Identify cross-cutting themes - Plan for iterative deep-diving - Set minimum source targets per topic area **Output**: `research_plan` object containing: ```json { "primary_topic": "string", "sub_topics": ["string"], "search_queries": [{"query": "string", "domain": "string", "priority": 1}], "target_sources": 100, "timeline_phases": ["phase1", "phase2", "phase3"] } ``` ### Phase 2: Autonomous Information Gathering **Tools Used**: `batch_web_search`, `extract_content_from_websites` **Process**: 1. **Initial breadth search** - ...