MindSearch is an LLM-based multi-agent search engine that decomposes complex user questions into targeted sub-queries and routes each to a specialized agent for parallel investigation. The system orchestrates multiple agents through a large language model, coordinating their tasks and interpreting search results to produce coherent answers from multiple sources.
The project provides a configurable search backend interface that allows switching between Google, DuckDuckGo, Brave, and Bing search APIs by updating a configuration attribute. It includes a terminal-based debug interface for testing and troubleshooting the multi-agent search pipeline during development, enabling headless backend execution without a graphical frontend.
The system synthesizes findings from parallel sub-query agents into a single coherent answer, addressing the original multi-faceted question. The documentation covers running the search backend without a frontend and debugging the search pipeline locally through the command-line interface.
