mshumer/OpenDeepResearcher

Health v2 · maintenance only

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2791 stars · 359 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter Notebook (with a Gradio UI variant) implementing an autonomous AI research agent that iteratively generates search queries, fetches and evaluates web pages, and compiles a comprehensive report. It orchestrates SERPAPI for search, Jina for content extraction, and OpenRouter-hosted LLMs for query generation, relevance judgment, and report writing.

Use cases

• run deep research on a topic and get a cited report
• automate multi-round web research with an LLM agent
• generate search queries iteratively until enough context is gathered
• extract relevant context from web pages automatically
• build a deep research agent similar to OpenAI's deep research
• research assistant that searches Google and summarizes findings

When to choose

• you want a lightweight, hackable deep-research agent as a notebook
• you already have OpenRouter, SERPAPI, and Jina API keys
• you want to study or extend an iterative agentic research loop
• you prefer a quick Colab-based tool over a self-hosted service

When to avoid

• you need a production-grade service with auth, UI, and persistence
• you want to avoid paid third-party API dependencies
• you need local/offline research without external search APIs
• you need a maintained package with tests rather than a notebook prototype

Facets

application · maturity active

agent-framework rag search-engine llm-inference web-scraping artificial-intelligence python cross-platform deep-research jupyter-notebook gradio serpapi openrouter jina iterative-research async ai-agents retrieval-augmented-generation search natural-language-processing web-server

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markdown · JSON · MCP: product_card(name="mshumer/OpenDeepResearcher")