jordan-gibbs /hyperresearch
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai
★ 4,363⑂ 446👁 16▤ 16
4,363
stars
+0+21+585
446
forks
16
watchers
–
prs
–
issues
16
releases
–
discussions
README
The Most Powerful Deep Research Harness: a deep research skill for Claude Code and OpenAI Codex --- Hyperresearch turns Claude Code into a deep research agent, and it's 1 on the DRACO deep research benchmark, ahead of Claude Research, ChatGPT, Gemini and Perplexity. It runs in OpenAI Codex too. A tier-adaptive 16-step pipeline takes one prompt and produces an adversarially-audited report with full source provenance. Every source it reads lands in a persistent, searchable vault, so each session starts smarter than the last. Don't want to run it locally? Hyperresearch is the hosted version: the same pipeline, with no Claude Code or Codex install needed. [!NOTE] New: hyperresearch runs on OpenAI Codex. One command installs the full pipeline for Codex: entry skill, step procedures, the subagent roster as Codex custom agents, and a Stop hook that keeps Codex from skipping steps. Same vault, same ship gate as on Claude Code. bash pip install hyperresearch && hyperresearch install . --target codex codex --sandbox workspace-write -c sandbox_workspace_write.network_access=true then: $hyperresearch Codex support ships in the next PyPI release; until then install from GitHub with pip install git+https://github.com/jordan-gibbs/hyperresearch. Details and what differs on Codex: Codex. See a sample report Read a full report before you install anything. These are unedited Deep runs from the hosted version, and you don't need to log in: - Toast vs Square vs Clover: a restaurant POS competitor analysis, built mostly from SEC filings (241 sources) - Buying a $2M HVAC business: multiples, SBA loans and diligence (213 sources) - Who is winning AI coding agents, October 2026 (259 sources) These are the same kind of Deep runs that put Hyperresearch at 1 on DRACO. Method and per-task scores are on the benchmark page. Why it wins - 250+ sources in a single run. The premier scale profile targets 100–130 in the width sweep alone; citation chasing and gap-fill fetches more than double what actually lands in the corpus. - Every citation is verified before the report ships. A skeptical cite-checker audits whether each cited source actually supports its sentence. Hallucinated quotes and unacknowledged retractions are hard blocks at the gate. - Syndication doesn't count as consensus. An independence audit clusters derivative copies, so five reprints of one press release argue with the weight of one source. - Adversarial by construction. Four critics attack every draft in parallel, and a tool-locked patcher can only apply surgical edits. It physically cannot rewrite the report. - Eight scholarly sources, one query. hpr scholar search hits OpenAlex, Crossref, CORE, DOAB, ClinicalTrials.gov, SEC EDGAR and FRED through one client layer and returns a single list deduplicated by DOI and title. Books, trials and filings come back alongside papers, each tagged so the pipeline knows which is which. The humanities and socia