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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
利用claude code agent框架一步一步实现deep research！很强大很简单的skills。我一步一步介绍实现deep research，因为deep research就是agent框架第一应用，对比一下各个框架实现这个deep research，就知道哪个框架才是真厉害。
| Date | Stars |
|---|---|
| 2026-07-31 | 277 |
| 2026-08-06 | 277 |
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# Claude Code Deep Research Agent A sophisticated multi-agent research framework that implements OpenAI's Deep Research and Google Gemini's Deep Research capabilities using Claude Code's native features. ## Overview This project leverages Claude Code's Skills and Commands system to conduct comprehensive, citation-backed research through: - **Graph of Thoughts (GoT) Framework** - Intelligent research path management with graph-based reasoning - **7-Phase Deep Research Process** - Structured methodology for quality research - **Multi-Agent Architecture** - Parallel research agents with specialized roles - **Citation Validation System** - A-E source quality ratings with chain-of-verification ## Quick Start ### Prerequisites - Claude Code CLI installed - Active Claude Code account with API access ### Installation 1. Clone this repository: ```bash git clone <repository-url> cd Claude-Code-Deep-Research-main ``` 2. The Skills and Commands are already configured in `.claude/` directory ### Basic Usage The simplest way to conduct deep research: ```bash /deep-research [your research topic] ``` **Example:** ```bash /deep-research AI applications in clinical diagnosis ``` This single command will: 1. Ask clarifying questions to refine your research needs 2. Create a structured research plan 3. Deploy multiple parallel research agents 4. Synthesize findings into a comprehensive report 5. Validate all citations 6. Output results to `RESEARCH/[topic]/` directory ## Advanced Usage ### Step-by-Step Research Workflow For more control over the research process: #### 1. Refine Your Question ```bash /refine-question Should I use WebAssembly for my project? ``` The Question Refiner will ask 5-6 clarifying questions about: - Specific focus areas - Output format requirements - Geographic and time scope - Target audience - Special requirements #### 2. Plan Research (Optional) ```bash /plan-research [structured prompt from step 1] ``` Creates a detailed execution plan showing: - How the topic breaks into subtopics - Which agents will be deployed - Expected timeline #### 3. Execute Research ```bash /deep-research [your topic] ``` #### 4. Synthesize Findings (If needed) ```bash /synthesize-findings RESEARCH/[topic]/research_notes/ ``` #### 5. Validate Citations ```bash /validate-citations RESEARCH/[topic]/full_report.md ``` ## Project Structure ``` claude-code-deep-research/ ├── .claude/ │ ├── skills/ # Research skills │ │ ├── question-refiner/ # Question refinement │ │ ├── research-executor/ # Main research execution │ │ ├── got-controller/ # Graph of Thoughts controller │ │ ├── citation-validator/ # Citation validation │ │ └── synthesizer/ # Research synthesis │ ├── commands/ # User commands │ │ ├── deep-research.md # Main research command │ │ ├── refine-question.md # Question refinement │ │ ├── plan-research.md # Research planning │ │ ├── synthesize-findings.md # Findings synthesis │ │ └── validate-citations.md # Citation validation │ └── settings.local.json # Tool permissions ├── RESEARCH/ # Research outputs │ └── [topic_name]/ │ ├── README.md │ ├── executive_summary.md │ ├── full_report.md │ ├── data/ │ ├── visuals/ │ ├── sources/ │ ├── research_notes/ │ └── appendices/ ├── CLAUDE.md # Quick reference for Claude Code ├── CLAUDE2.md # Graph of Thoughts guide ├── PROJECT_UNDERSTANDING.md # Architecture documentation ├── IMPLEMENTATION_GUIDE.md # User guide with examples └── README.md # This file ``` ## Research Output Structure Each research project creates a structured output: ``` RESEARCH/[topic_name]/ ├── README.md # Overview and navigation ├── executive_summary.md # 1-2 page key findings ├── full_report.md
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:759327431bbce0cf, llm:Repository description: '利用claude code agent框架一步一步实现deep research...介绍实现deep research，因为deep research就是agent框架第一应用' and topic: 'claude-code'
matched fp:759327431bbce0cf, llm:Repository description: '利用claude code agent框架一步一步实现deep research...介绍实现deep research，因为deep research就是agent框架第一应用' and topic: 'claude-code'