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
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 7 days ago, with 19 contributors on GitHub.
The biggest single-day gain in the last year, +552 stars on Sep 12, coincided with release v0.11.1.
Use Cases & Benefits
- Transforms Claude Code or Codex into an intelligent deep research agent that collects, searches, and synthesizes web research into a persistent, searchable wiki.
- Ensures rigorous source verification with adversarial auditing, citation checking, and persistent vault storage to build smarter sessions over time.
- Use for conducting deep, multi-source academic research with adversarial review and full provenance tracking for dissertations or large reports.
- Use for building a persistent, searchable knowledge vault that accumulates and curates research notes with lifecycle management and semantic search.
- Use for integrating authenticated crawling and browser-driven fetching to access paywalled or login-protected content legally and reliably.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
The Most Powerful Deep Research Harness
Hyperresearch turns Claude Code into a deep research agent: one that currently leads the DeepResearch-Bench RACE leaderboard (benchmarked internally). 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.
Forward-looking projection from a stratified pilot against the DeepResearch-Bench leaderboard snapshot (https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard). Third party validation is pending.
Then
/hyperresearch <anything>in Claude Code.Python 3.11–3.13. (3.14 not yet supported. Use
pyenv install 3.13,uv venv -p 3.13, orpy -3.13 -m venv .venv.)Power users:
hyperresearch install --globalmakes/hyperresearchreachable from every Claude Code session anywhere, at the cost of ~15 lines in every session's system reminder. Per-project install (above) keeps unrelated CC sessions clean.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,928 stars over 54 days across 12 snapshot days; best day +552 on Sep 12.
Forks
447+198
Open issues
20+3
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 192.3K | +5.2K | 75 | — |
| zed-industries/zed | 94.7K | +2.3K | 75 | 6 days ago |
| google/skills | 23.8K | +2.0K | 75 | — |
| NationalSecurityAgency/ghidra | 99.4K | +1.8K | 75 | 19 days ago |
| DuarteSantos8/openGym | 20.8K | +1.7K | 75 | 7 days ago |
| jordan-gibbs/hyperresearch | 4.4K | — | 44 | 7 days ago |
| Category median | 94.7K | +2.0K | 75 | — |
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