It is a minimalist, 100-line framework designed to enable large language models (LLMs) to program themselves, focusing on simplifying the development of LLM-based applications such as multi-agent systems, prompt chaining, and retrieval-augmented generation (RAG).
It is a minimalist, 100-line framework designed to enable large language models (LLMs) to program themselves, focusing on simplifying the development of LLM-based applications such as multi-agent systems, prompt chaining, and retrieval-augmented generation (RAG). The framework, called Pocket Flow, strips away low-level implementation details while emphasizing high-level programming paradigms, making it easier for LLMs to design, build, and maintain projects. It is available for installation via `pip install pocketflow` or by directly copying the 100-line source code.
Pocket Flow is built around a core abstraction of a nested directed graph, which breaks down tasks into multiple LLM-driven steps, allowing for branching and recursion to support agent-like decision-making. This minimalist approach avoids over-engineering, making it more accessible for both humans and LLMs to use and maintain. The framework is particularly suited for tasks where LLMs excel, such as handling low-level details like wrappers, tools, and prompts, while leaving high-level paradigms like MapReduce and task decomposition to the framework’s design.
The project encourages users to leverage advanced LLMs, such as Sonnet 3.5 or O1, for stronger coding capabilities. It also provides documentation and beginner tutorials, such as text summarization for Paul Graham essays and building a QA agent. Pocket Flow is intended as both a practical tool and a learning resource, offering insights into the core abstractions of LLM frameworks. For more details, users can refer to the official documentation at [https://the-pocket.github.io/PocketFlow/](https://the-pocket.github.io/PocketFlow/).
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