langchain-ai/open_deep_research
Open Deep Research
Open Deep Research is an artificial intelligence framework designed to automate complex, multi-step research workflows. It functions as an autonomous agent that performs iterative web searches, analyzes retrieved data, and synthesizes information into structured reports. By decomposing broad queries into smaller sub-tasks, the system builds a comprehensive knowledge base to address open-ended questions.
The platform distinguishes itself through an agentic loop that dynamically refines research strategies based on previous findings. It manages long-form data by compressing and summarizing content to maintain information density within model constraints, while stateful memory ensures coherence across the entire research process. The system coordinates these activities by mapping natural language intent to structured tool calls and automated prompt chains.
This toolkit provides a complete environment for knowledge synthesis and automated content generation. It is available as a Python-based framework for developers building autonomous research agents.