Deep Researcher
Description
Deep Research based on Claude Code's agentic framework 🦉⚡ export const SPINNER_VERBS = [ 'Accomplishing', 'Actioning', 'Actualizing', 'Architecting', 'Baking', 'Beaming', "Beboppin'", 'Befuddling', 'Billowing', 'Blanching', 'Bloviating', 'Boogieing', 'Boondoggling', ...]
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Deep Researcher
Search Google Scholar, enrich with OpenAlex, synthesize structured literature reviews — all locally.
Quick Start · How It Works · Sample Output · Configuration
Deep Researcher searches **Google Scholar** for academically-ranked papers, enriches them with full metadata from **OpenAlex**, and uses a local LLM to write a **structured literature review** with consistent citations.
- 100 papers from Google Scholar's semantic search, no keyword hacks, no irrelevant results
- Full metadata: DOIs, abstracts, journal names, citation counts, open access URLs
- Structured synthesis: papers categorized by theme, with per-category analysis and cross-category patterns
- Consistent
[N]citations: every reference in the text matches the reference list - BibTeX + CSV output ready for LaTeX/Overleaf or Excel
- Runs locally with Ollama. Your queries never leave your machine
- Tool-based agentic architecture inspired by Claude Code
- 4 dependencies, no LangChain
Quick Start
git clone https://github.com/jackswl/deep-researcher.git
cd deep-researcher
pip install -e .Run with Ollama (local, free, private)
ollama pull qwen3.5:9b
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