PocketFlow

About

PocketFlow is a minimalist framework designed to streamline the development of advanced LLM applications through graph-based orchestration and shared data stores. By modeling workflows as nodes and transitions, it enables developers to implement sophisticated patterns like autonomous agents, multi-stage RAG pipelines, and task decomposition with ease. This skill provides the implementation guidance needed to leverage PocketFlow's architectural strengths—such as its unique prep-exec-post node structure and support for asynchronous parallel processing—making it ideal for building robust, scalable AI systems that require high degrees of control and observability.

Key Features

• Shared data store architecture for centralized state management
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• Standardized three-step node lifecycle (prep, exec, post) for separation of concerns
• Built-in support for batch processing and asynchronous parallel execution
• Production-ready patterns for RAG, autonomous agents, and multi-agent coordination
• Graph-based workflow orchestration using nodes and transitions

Use Cases

• Managing complex LLM tasks by decomposing them into sequential or parallel sub-steps
• Developing scalable RAG pipelines with separate indexing and retrieval stages
• Building autonomous agents with dynamic decision-making and iterative search loops