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Centralized data structures that allow decoupled nodes within a workflow to share and persist state.
Distinct from Inter-flow Data Sharing: Distinct from Inter-flow Data Sharing: focuses on state sharing between nodes within a single execution flow rather than across different flow boundaries.
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PocketFlow is a graph-based framework for designing and executing large language model operations and reasoning patterns. It serves as an orchestrator for building goal-oriented autonomous agents, multi-agent systems, and retrieval-augmented generation pipelines. The system is distinguished by its ability to coordinate autonomous AI agents that use shared memory and tools to solve complex goals, supported by a structured output engine that enforces schema-consistent responses. It utilizes graph-based workflow orchestration to manage sequences of model operations and supports supervisor-based
Uses a centralized data store to maintain context and pass information between decoupled nodes in a flow.