Agents-Flex

Agents-Flex is a development framework built in Java for creating applications powered by large language models (LLMs). It provides the core components needed to build AI agents, including tools for connecting to various LLMs, managing prompts, executing function calls, processing documents, and handling memory. Think of it as a Java alternative to popular Python frameworks like LangChain, designed to be simple and lightweight.

The framework stands out by supporting a wide range of LLMs and network protocols like HTTP, SSE, and WebSocket, making it easy to connect to proprietary or self-hosted models. It includes a flexible system for Function Calling, allowing developers to define, parse, and execute local methods with just a few lines of code. For handling data, it offers a full document processing pipeline with loaders, parsers, and splitters for various data sources and types.

This tool is primarily for software developers, especially those working in Java ecosystems, who want to build sophisticated AI agent applications without starting from scratch. It's useful for creating custom chatbots, automated workflows that chain multiple AI steps, or systems that need to process documents and maintain context across interactions. By bundling these common AI development patterns into a coherent framework, Agents-Flex aims to speed up the process of turning LLM capabilities into functional software.