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Shandu - Open source OpenAI DeepResearch alternative

Release : Shandu - OpenAI DeepResearch alternative, An AI-driven research system that performs comprehensive, iterative research on any topic using multiple…

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Release : Shandu - OpenAI DeepResearch alternative, An AI-driven research system that performs comprehensive, iterative research on any topic using multiple search engines and LLMs.



Key Features

Iterative Research: Recursively explores topics through multiple search engines with thematic organization



Ethical Web Scraping: Respects robots.txt rules and implements caching to minimize server impact



Comprehensive Reports: Generates 7000+ word detailed, well-structured markdown research reports



Configurable Parameters: Fine-tune research depth and breadth to suit your specific needs



Source Evaluation: Automatically assesses reliability and credibility of information sources



Parallel Processing: Optimized with concurrent operations for more efficient execution



Lightweight Search: Quick AI-powered search alternative with the aisearch command



Target Audience

People who don't want to pay 20$ for 10 queries a month to OpenAI or 200$ (for a Pro plan).



Comparison

It usually finishes report on any topic before OpenAI with usually much more sources. I didn't still check money it takes but it's usually like cents. You can also use any model, even locally run ones (but report will be worse, of course). You can run it with cheap api like DeepSeek.



How it works

Initial Setup



Takes user query and research parameters (breadth & depth)



Generates follow-up questions to understand research needs better



Deep Research Process



Generates multiple SERP queries based on research goals



Processes search results to extract key learnings



Generates follow-up research directions



Recursive Exploration



If depth > 0, takes new research directions and continues exploration



Each iteration builds on previous learnings



Maintains context of research goals and findings



Report Generation



Compiles all findings into a comprehensive markdown report



Includes all sources and references



Organizes information in a clear, readable format



Examples: Check examples/ folder.



Typical report (note this is with model of 72b params, you can achive much better results with o3 mini/o3-mini-high , just put openrouter api base,key, and model name). https://github.com/jolovicdev/shandu/blob/main/examples/qwen72b-instruct-test_nsa_esa_cnsa.md



GitHub repository: https://github.com/jolovicdev/shandu

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