HyperResearch: Open-source Claude Code skill harness turns it into a deep research agent
HyperResearch is an open-source skill harness for Claude Code (CC) that transforms it into a deep research agent. According to the developer, it surpasses OpenAI, Google, and NVIDIA's offerings on the DeepResearch Bench — a benchmark for agentic search. It uses your existing Claude Code subscription, so you don't need to pay for OpenAI or Gemini Pro.
Key Features
- 16-step pipeline that creates a searchable, persistent knowledge store per session, which can be built upon in later searches.
- Built-in fact-checking, adversarial review, and breadth/depth investigation — designed to stay aligned with the original user prompt.
- Uses
crawl4ai(an open-source LLM search tool) to capture wider breadth than standard web search tools. - Supports authenticated sessions — LinkedIn, Twitter, etc. are now accessible for agentic search.
Installation & Usage
Installable with a single command (exact command not specified in the source, but claude code is implied). The framework is generalized — suitable for any large-scale research task: developing a trading strategy, competitor product analysis, or understanding the current state of LLM architecture.
Performance & Benchmarks
Outperforms OpenAI, Google, and NVIDIA's agentic search solutions on the DeepResearch Bench. No specific numbers are given, but the claim is that it surpasses all three on that benchmark.
Who It's For
Developers who use Claude Code and need an open-source, customizable deep research agent without paying for additional proprietary subscriptions.
📖 Read the full source: r/ClaudeAI
👀 See Also
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