Open source AI research agent

Core ideas

• One tool, three giants beaten: Hyper Research outscored OpenAI's Deep Research, Google's Gemini, and NVIDIA's equivalent on the same benchmark that grades AI reports against PhD-level work.
• Dead simple install: You install it with one line, then trigger it by typing slash hyper research plus your question. No extra setup.
• Question gets broken apart: It splits your query into pieces and searches from multiple angles simultaneously instead of running one linear search.
• Contradiction hunting: It actively looks for where sources disagree and digs deeper into those conflicts instead of smoothing over them.
• Built-in adversarial review: Four separate critic passes attack the draft report, tear holes in weak arguments, and force rewrites of the gaps.
• Memory that compounds: Every source it reads gets saved permanently, so each new report builds on everything from past ones and gets sharper over time.
• No added subscription cost: It runs inside Claude Code, a tool people already pay for, so the research firm functionality is free on top of that.
• Replaces paid analyst work: The claim is this matches the kind of report analysts charge $70 an hour to produce.
• Try installing Hyper Research if you already use Claude Code, it's a one line setup.
• Use it for research tasks where source contradictions matter, not just summary generation.
• Let it run repeatedly on related topics to benefit from the compounding saved sources.
• Consider it as a lower cost alternative before paying for a human analyst report.

Quotes