Open Deep Research

Overview

Open Deep Research takes research beyond simple search-and-summarize. It conducts iterative research cycles using Firecrawl for reliable web data extraction — each cycle refining and deepening the analysis until a comprehensive report emerges.

How It Works

1. Define question — Input a research topic
2. Plan research — Decomposes into sub-questions
3. Crawl sources — Uses Firecrawl for reliable extraction
4. Iterate — Multiple rounds of search and analysis
5. Synthesize — Produces cited report

Use Cases

• Market analysis — Deep competitive research
• Technical evaluation — Technology comparisons
• Policy research — Multi-source evidence synthesis
• Academic — Literature review support

Getting Started

git clone https://github.com/nickscamara/open-deep-research
cd open-deep-research
npm install && npm run dev

Example

Question: "Impact of AI on software development productivity"
Output: Multi-section report with 30+ cited sources,
data analysis, and trend projections.

Alternatives

• GPT Researcher — Autonomous research agent
• Deer Flow — ByteDance’s research superagent
• Perplexity — AI search engine