In simple English
This tool turns your coding assistant into a deep research helper. It takes one question and runs a long pipeline to gather hundreds of sources from the web and academic databases. It checks every citation for accuracy and builds a searchable markdown vault on your computer. Future research sessions reuse what is already in your vault before fetching new pages. You need Python and an active subscription to a compatible coding assistant to run it.
What it is
A Python package and command-line tool that installs a sixteen-step research pipeline into Claude Code or OpenAI Codex. It coordinates multiple specialized subagents to plan, fetch, criticize, patch, and verify long-form research reports.
What it is good for
Solo builders who need exhaustive market research, competitor analysis, or literature reviews without spending hours manually reading and organizing web pages.
- Gathers over two hundred sources and verifies every citation before shipping the report.
- Saves every fetched source into a local SQLite-backed markdown vault that future sessions can search.
- Resumes crashed runs exactly where they stopped without losing progress.
- Requires Python 3.11 or newer and a working Claude Code or OpenAI Codex environment.
- Long research runs take considerable time and consume many API tokens.
- Some advanced search providers need external API keys and extra python packages.
Manual web searching, copy-pasting open-access papers, and writing long research reports by hand.
Claude Code or OpenAI Codex for running the assistant workflow.
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pip install hyperresearch hyperresearch install