What problem does it solve?
Deep Research Agent helps teams tackle complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files.
Core Features & Use Cases
- Multi-Step Research Planning: The agent doesn't just search; it plans. It decomposes your high-level objective into a structured set of sub-questions and executable tasks to ensure no detail is overlooked.
- Task Decomposition & Orchestration: Specialized subagents are orchestrated to handle isolated research threads or domains, allowing for parallel exploration and deeper domain-specific analysis.
- Large-Context Document Analysis: Leveraging advanced long-context reasoning, the agent can analyze extensive volumes of documentation, files, and search results to find the "needle in the haystack."
- Cross-Thread Memory Persistence: Key findings, decisions, and context are persisted across conversations. This allows for iterative research that builds upon previous discoveries without losing momentum.
- Synthesized Reporting: The final output is a coherent, well-supported analysis or recommendation that integrates findings from multiple sources into a clear and actionable report.
Quick Start
Invoke the deepsearch command with your research objective to begin planning, decomposition, and synthesis.
