hyperresearch

Hyperresearch is a deep research skill that turns Claude Code or Codex into a research agent that builds a searchable source library for researchers and analysts.

What it is good for

  • Turning a broad research question into a cited report
  • Keeping sources from past research searchable across sessions
  • Checking whether citations in a report actually support their claims
  • Finding scholarly papers, books, and filings in one search

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Skill or plugin
Tasks
Works with
Claude Code, OpenAI Codex, Claude Desktop

Momentum

Rank this week
Not ranked yet
Best rank
None yet
GitHub stars
4,325

GitHub numbers as of Nov 2, 2026. Updated weekly.

3,421 3,907 4,392 Sep 24, 2026 Nov 2, 2026
GitHub stars for hyperresearch: 3,488 on Sep 24, 2026, 4,325 on Nov 2, 2026. Source: GitHub.

Official links

Setup steps are on the official pages. We do not repeat them here, since they change.

Questions

Is hyperresearch free?
Yes. It is free and open source (MIT license).
Do I need to know how to code to use hyperresearch?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does hyperresearch work with?
According to its own documentation, it works with Claude Code, OpenAI Codex, and Claude Desktop.
What is hyperresearch good for?
Turning a broad research question into a cited report, keeping sources from past research searchable across sessions, checking whether citations in a report actually support their claims, and finding scholarly papers, books, and filings in one search.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.