hyperresearch

by jordan-gibbs · Claude Skill · ★ 248

About hyperresearch

The Most Powerful Deep Research Harness Hyperresearch turns Claude Code into a deep research agent. and currently leads the DeepResearch-Bench RACE leaderboard (benchmarked internally). A tier-adaptive 16-step pipeline produces adversarially-audited reports with full source provenance. Every fetched source lands in a persistent, searchable vault that compounds across sessions. Forward-looking projection from a stratified pilot against the DeepResearch-Bench leaderboard snapshot (https://huggingface.co/spaces/muset-ai/DeepResea

agentsagentskillsclaude-codedeep-researchdeep-research-agent

Quick Facts

Stars248
Forks16
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score67.4012709088015/100
Last Updated2026-05-14
Created2026-04-09
Platformsbrowser, claude-code, python
Est. Tokens~72k

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Frequently Asked Questions

What is hyperresearch?

hyperresearch is Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.. It is categorized as a Claude Skill with 248 GitHub stars.

What programming language is hyperresearch written in?

hyperresearch is primarily written in Python. It covers topics such as agents, agentskills, claude-code.

How do I install or use hyperresearch?

You can find installation instructions and usage details in the hyperresearch GitHub repository at github.com/jordan-gibbs/hyperresearch. The project has 248 stars and 16 forks, indicating an active community.

What license does hyperresearch use?

hyperresearch is released under the MIT license, making it free to use and modify according to the license terms.

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