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hyperresearch
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hyperresearch

Active·★ 4.2k·MIT·Updated 2026-10-27

Hyperresearch is a deep research pipeline installed into Claude Code or OpenAI Codex as a skill or plugin. One prompt runs through a tier-adaptive 16-step pipeline and comes back as an adversarially audited report with full source provenance; bounded questions take a 5-step fast path, and an experimental dissertation mode writes 25K to 80K words. The README claims first place on the DRACO deep research benchmark, ahead of Claude Research, ChatGPT, Gemini and Perplexity, with method and per-task scores on its benchmark page.

Its checks are the main selling point. A cite-checker audits whether each cited source supports its sentence, and hallucinated quotes or unacknowledged retractions block the report. An independence audit collapses syndicated copies so reprints do not count as consensus. Four critics attack each draft and a tool-locked patcher can only make surgical edits. hpr scholar search queries OpenAlex, Crossref, CORE, DOAB, ClinicalTrials.gov, SEC EDGAR and FRED in one call, and for paywalled papers it looks for a legal open-access copy through Unpaywall, Europe PMC and CORE and discloses each substitution.

Every source lands in a markdown-plus-SQLite vault that later sessions search before fetching anything new, and crashed runs resume from their manifest. Install with pip install hyperresearch, then hyperresearch install for Claude Code or --target codex; Python 3.11 to 3.14 is required. A hosted version exists for people who do not want to run it locally. MIT licensed.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-27.

License
MIT
Latest release
v0.13.0 · 2026-10-27
Last commit
2026-10-27
Contributors
16
Forks
413
Open issues and PRs
21
First published
2026-04-09
PyPI package
hyperresearch 0.13.0 · 482 downloads last week

Source: GitHub, npm and PyPI public APIs.

#deep-research#claude-code#codex#citations#research-agent#scholarly-search#agent-skills
$ Install
$ pip install hyperresearch && hyperresearch install
↗ Visit site★ GitHub
01

Features

0116-step pipeline with a fast path for bounded questions
02Cite-checker verifies each citation supports its sentence before the report ships
03One search across OpenAlex, Crossref, CORE, ClinicalTrials.gov, SEC EDGAR and FRED
04Fetches legal open-access copies of paywalled papers via Unpaywall, Europe PMC and CORE
05Persistent source vault and resumable runs
02

Why choose it

+Each citation is checked against its sentence before the report ships, and fabricated quotes block it.
+One scholarly search spans OpenAlex, Crossref, ClinicalTrials.gov, SEC EDGAR and FRED.
+A persistent source vault means later sessions reuse what earlier ones read.
03

Trade-offs

!Benchmark ranking is the project's own reported result.
!Large runs read hundreds of sources, which costs time and model usage.
!Codex sessions need write access and network enabled; the dissertation mode is experimental.
04

Maintenance check

ActiveChecked: 2026-10-26
Last commit
2026-10-26
Commits, last 90 days
56
Releases, last 90 days
4
Latest release
v0.12.0 (2026-09-24)
Open issues
30
Recent issues with at least one comment
2/9
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 0, 0, 0, 0, 24, 1, 15, 2, 2, 0, 0, 5

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #31 Capture bibliographic metadata (journal, DOI, year, preprint-vs-published) for paper notes4 comments · 2026-06-08
  • #59 Proposal: pluggable semantic index backend for larger vaults2 comments · 2026-07-24
  • #34 refactor: extract lint rules into pluggable modules1 comments · 2026-06-17
  • #178 Optional: publicly verifiable certificate for deep-research (one workflow file)0 comments · 2026-10-26
  • #150 citecheck: numeric overlap auto-passes unsupported entity and metric claims0 comments · 2026-09-27

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

Claude Code
Skill / plugin
Verified via docs
OpenAI Codex
Skill / plugin
Verified via docs
Python 3.11–3.14
CLI
Verified via docs
06

Quick start

1
$ pip install hyperresearch
2
$ hyperresearch install
07

Use cases

↳Produce a sourced competitor or market analysis
↳Run a literature review across papers, trials and filings
↳Build up a reusable research vault for a project
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
jordan-gibbs /
hyperresearch
↗

Turns Claude Code or Codex into a deep research agent with audited citations and a reusable source vault

4.2k413MIT
Last commit1d ago
StatusActive
CategoryRAG / Knowledge Base
Contributors16
Latest releasev0.13.0
Links
Documentation↗Discussion↗Issues↗Releases↗
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