hyperresearch

About hyperresearch

Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.

agents agentskills claude-code deep-research deep-research-agent

Quick Facts

Stars	248
Forks	16
Language	Python
Category	Claude Skill
License	MIT
Quality Score	38.75/100
Last Updated	2026-05-14
Created	2026-04-09
Platforms	browser, claude-code, python
Est. Tokens	~72k

Compatible Skills

These tools work well together with hyperresearch for enhanced workflows:

gptr-mcp — semantic(0.40)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
designing-real-world-ai-agents-workshop — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
Cerno-Agentic-Local-Deep-Research — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
deep-research-mcp — semantic(0.46)+complementary+same_lang+similar_pop+shared_platform (66%)
af-deep-research — semantic(0.47)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)

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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.

View on GitHub → Browse Claude Skill tools