Hyperresearch is a deep research agent that automates web research collection and synthesis into a persistent, searchable knowledge base.
The tool addresses the challenge of conducting thorough research at scale by deploying Claude Code as an autonomous agent. It operates through a tier-adaptive 16-step pipeline that takes a single research prompt and produces a comprehensive report with full source attribution. Each web source the agent encounters is stored in a persistent vault, allowing subsequent research sessions to build on prior findings rather than starting from scratch.
Hyperresearch suits teams and researchers who need systematic, audited research reports with complete source provenance. It is particularly valuable for organizations conducting repeated research across related topics, where the accumulating knowledge base becomes an asset. The tool distinguishes itself through adversarial auditing of its outputs and the architectural choice to maintain a searchable vault of all sources encountered, creating institutional memory across sessions.
The project shows active development with regular updates to its core research pipeline and agent capabilities. The maintainer responds to issues and incorporates user feedback into the tool's functionality. The codebase receives ongoing refinement to improve the research quality and reliability of the agent's outputs.
