hyperresearch — « The Most Powerful Deep Research Harness » / « Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki. »
**Skill** entry (not an article): **hyperresearch** by **Jordan Gibbs** is a **deep research harness** that turns Claude Code into a document-research agent, shipped as a PyPI package (MIT, Python 3.11-3.13) installing **20 Claude Code skills** + a CLI + an MCP server + a local web UI. Observed on **August 3, 2026**: 1,568 stars, 170 forks, repo created April 9, 2026, last push August 1. **The core is a 16-step pipeline adaptive by tier** (`light` ~30-40 min → `full` ~1.5-2.5 h → `dissertation` 4-8 h and 25,000-80,000 words across 300-450 sources), which takes a prompt and returns a report **audited adversarially** with full provenance. **The central — and most instructive — architecture decision is documented alongside its failure mode**: the entry skill is a **thin router** containing no procedure at all, each step living in its own skill loaded **fresh at the moment it is invoked** — because the previous version was *« one 1200-line skill that got compacted away by the time Layer 4 needed its triple-draft procedure. The orchestrator forgot the procedure, wrote a single draft, and produced a flat-scoring report. »* **Two load-bearing principles**: *« Patch, never regenerate »* — after synthesis, only surgical `Edit` touch-ups are possible, the patcher and the polish auditor being **tool-locked to `[Read, Edit]` at the Claude Code allowlist level**, so that they *« physically cannot Write a new draft »*; and *« canonical research query is gospel »* — the verbatim prompt is persisted once in `query.md` and re-read by every step and every subagent. **Sixteen subagents** with configurable role and model (fetchers and cite-checker on Sonnet, critics/synthesizer/patcher on Opus). **The vault** is a persistent markdown store indexed in SQLite — *« Markdown is truth, SQLite is cache »* — with a note lifecycle (`draft → review → evergreen`, `stale → deprecated → archive`), traceable provenance, a composite quality score (source type, citation authority via OpenAlex/Semantic Scholar **with retraction indicators**, internal PageRank) and an **independence audit** that groups syndicated copies — *« five reprints of one press release argue with the weight of one source »*. **Three mechanical gates before shipping**: citation integrity (any quoted passage must exist **verbatim** in a vault note), a retraction scan refreshed on every cited DOI, and citation-to-sentence linkage verification by a skeptical LLM. ⚠️ **Major reservation to flag**: the headline claim — *« currently leads the DeepResearch-Bench RACE leaderboard »* — is contradicted by its own footnote, *« forward-looking projection from a stratified pilot… Third party validation is pending »*. A **projection** is not a ranking, yet the chart places it ahead of Gemini and OpenAI Deep Research all the same.
**Jordan Gibbs** — auteur et mainteneur du dépôt `jordan-gibbs/hyperresearch`. Le projet est distribué sous **licence MIT** et publié sur **PyPI** (`pip install hyperresearch`). Signaux d'adoption au 3 août 2026 : **1 568 étoiles** · **170 forks** · 13 issues ouvertes · dépôt créé le **9 avril 2026** et poussé le **1er août 2026** — soit une traction rapide sur moins de quatre mois. Topics déclarés : `agents` · `agentskills` · `claude-code` · `deep-research` · `deep-research-agent`.