by jordan-gibbs · MCP Server · ★ 3.8k
The Most Powerful Deep Research Harness Hyperresearch turns Claude Code into a deep research agent: one that currently leads the DeepResearch-Bench RACE leaderboard (benchmarked internally). A tier-adaptive 16-step pipeline takes one prompt and produces an adversarially-audited report with full source provenance. Every source it reads lands in a persistent, searchable vault, so each session starts smarter than the last. Forward-looking projection from a stratified pilot against the DeepResearch-Bench leaderboard snapshot (https:
| Stars | 3,826 |
| Forks | 376 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 38.75/100 |
| Open Issues | 32 |
| Last Updated | 2026-10-10 |
| Created | 2026-04-09 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~72k |
These tools work well together with hyperresearch for enhanced workflows:
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hyperresearch is Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyp. It is categorized as a MCP Server with 3.8k GitHub stars.
hyperresearch is primarily written in Python. It covers topics such as agents, agentskills, citations.
You can find installation instructions and usage details in the hyperresearch GitHub repository at github.com/jordan-gibbs/hyperresearch. The project has 3.8k stars and 376 forks, indicating an active community.
hyperresearch is released under the MIT license, making it free to use and modify according to the license terms.