PocketFlow and PocketFlow-Nim
The two tools are ecosystem siblings, where the Nim project is a direct reimplementation or port of the original Python PocketFlow, offering a similar minimalist LLM framework in a different language.
About PocketFlow
The-Pocket/PocketFlow
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Pocket Flow helps software developers build sophisticated AI applications using Large Language Models (LLMs). It provides a minimalist framework to design custom AI agents and workflows. Developers input their specific AI task requirements and can output advanced LLM-powered features like intelligent chatbots, data extractors, or research agents.
About PocketFlow-Nim
bkataru/PocketFlow-Nim
Pocket Flow: A minimalist LLM framework. Let Agents build Agents!
This is a framework for developers to create automated workflows using large language models (LLMs). Developers can define a series of steps, like fetching information, processing it with an AI, and making decisions, chaining them together visually. It takes in raw data or user prompts, uses various AI models to process them, and outputs structured results, automated responses, or refined information. This is for software developers or AI engineers who build applications that need to integrate and orchestrate complex LLM-powered processes.
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