Agents-Flex: LLM Application Framework

Agents-Flex

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Type:
Open Source Projects
Last Updated:
2025/08/16
Description:
Agents-Flex is a simple and lightweight LLM application development framework developed in Java, similar to LangChain.
Share:
LLM
Java
framework

Overview of Agents-Flex

Agents-Flex: An Elegant LLM Application Development Framework

Agents-Flex is a Java-based framework designed to simplify the development of Large Language Model (LLM) applications. It offers a lightweight and easy-to-use alternative to LangChain.

Key Features:

  • LLM Support: Agents-Flex supports various LLMs, including those deployed with Ollama. It provides built-in network protocols like HTTP, SSE, and WS for easy integration with different LLMs.
  • Prompt Framework: Offers a rich set of LLM development templates and supports Prompt Frameworks like FEW-SHOT, CRISPE, BROKE, and ICIO. Custom prompt templates are also supported.
  • Function Calling: Includes a flexible Function Calling component for defining, parsing, and executing local methods via LLMs.
  • Document Processing: Provides Loader, Parser, and Splitter components for handling various data sources (network, local, database) and data types.
  • Memory Management: Features MessageMemory and ContextMemory for managing historical conversations and chain execution contexts. Extendable for custom memory implementations.
  • Embedding Capabilities: Offers extensive Embedding capabilities, allowing developers to integrate custom Embedding algorithms and services.
  • Vector Store Support: Built-in support for multiple vector databases. Allows developers to integrate private VectorStore services.
  • Chain Execution: Supports synchronous, asynchronous, and looped Chain execution for diverse scenarios.

Usage:

Refer to the official documentation for quick start guides and detailed instructions.

Official Resources:

[Agents-Flex Official Website](The website address should be here)

Agents-Flex is released under the Apache License and is copyrighted by Agents-Flex from 2022 to the present.

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