hyperresearch

MCP

MCP server connecting to the Hyperresearch hosted API for deep web research, enabling agents to collect, search, and synthesize sources into a persistent searchable wiki.

by jordan-gibbs·jordan-gibbs/hyperresearch·Python·v0.12.0

89· A

Install

git clone https://github.com/jordan-gibbs/hyperresearch

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2 days ago

About

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: one that currently leads the DeepResearch-Bench RACE leaderboard (benchmarked internally). 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. 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.