OpenResearcher Guide

Overview

OpenResearcher is a fully open pipeline for long-horizon deep research trajectory synthesis. It breaks complex research questions into sub-questions, iteratively searches and reads literature, builds internal knowledge representations, and synthesizes comprehensive answers. Unlike single-shot approaches, it models the researcher's thought process — reading, questioning, connecting, and refining understanding over multiple rounds.

Pipeline Stages

1. Question Decomposition

from open_researcher import OpenResearcher

researcher = OpenResearcher(llm_provider="anthropic")