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Tools for defining schemas and managing information flow between agents in stateful workflows.
Distinguishing note: Focuses on the data architecture and state persistence between agents rather than the research execution.
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GPT Researcher is an autonomous agent framework designed to automate the process of gathering, synthesizing, and documenting information from diverse web and local sources. It functions as a research-oriented execution environment that orchestrates specialized agents to perform complex, multi-branch research tasks, transforming raw data into structured, factual, and cited reports. The project distinguishes itself through a graph-based orchestration layer that manages state transitions and information flow between specialized agents. It employs recursive tree-search execution to explore comple
Structure data schemas to manage information flow between specialized agents, enabling stateful and multi-agent research workflows within a graph-based architecture.