function-calling

Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...), Tool Calling, MCP, RAG, Agent Runtime, and a built-in Coding Agent CLI/TUI/ACP.

Agent Platform for AI-Native Companies

从 Java 开发者到 AI Agent 工程师的 30 天实战之路 | Spring Boot + Spring AI + MCP + Multi-Agent

Retrieval Augmented Generation, Function Calling and Code Generation on GitHub Projects with Java

aihub 是面向 JDK 8+ 的 Java 大模型客户端。它只做一件事：把各厂商的 HTTP / SSE API 收成同一套 Java 调用。

一款企业级多语言(Polyglot)智能出行 Agent 架构实战。采用 Monorepo 单仓管理，底层基于 Java Spring Cloud 构建高并发票务微服务底座；AI 大脑层提供 Java (Spring AI) 与 Python (FastAPI+LangChain) 双引擎实现。核心特性包含：端到端 JWT 上下文鉴权透传、基于 Tool Calling 的异常自纠错 (Self-Correction) 循环，以及微服务级的数据流压缩，完整打通自然语言到真实复杂业务下单的全链路闭环。

A Spring Boot Starter for unified multi-modal AI integration (Text, Image, Video, Speech, Music) with async task orchestration via Reactor RabbitMQ.

Enterprise AI knowledge hub: RAG question-answering with Function Calling, Agent loop and Workflow, built with Spring Boot, Vue 3, MySQL, Redis and Qdrant.

GitGuru是一个关于GitHub的数据应用。

🤖 Build an AI-powered personal banking assistant in Java to manage account balances, review transactions, and initiate payments seamlessly.

基于 Spring Boot、微信 iLink SDK 与阿里云百炼的多模态微信机器人，支持文本、图片、语音、Function Calling、Skill 编排和本地 RAG。

本地优先的 进销存 + 财务记账 + AI 智能体 一体化系统 | Spring Boot 3 + Vue 3 + SQLite + Python FastAPI/Playwright | Function Calling Agent · 网页大模型桥接 · RAG · Text2SQL

The core orchestration engine for Lambda AI Agent. A Java-native agentic framework handling multi-step LLM reasoning, structured JSON outputs, and custom tool execution.

This demo is my attempt to reach the limit of automation with local LLM for free.

Java client for the OpenAI API: streaming chat completions, function calling, annotation-based structured-output POJO mapping, WebSocket and REST.

In this demo, a Host Agent classifies user input, makes a routing decision, and forwards the request to the appropriate agent via A2A clients using LLM function calling

Java orchestration library for production LLM apps — build workflows or autonomous agents with tool-calling. 11 native providers (OpenAI, Anthropic, Mistral, Grok, Gemini, DeepSeek, Azure variants) + JSON-driven custom. Multi-instance load-balancing, per-model rate limiting, error-type-aware retries.

企业级 Multi-Agent 智能业务分析平台，基于 Java17、Spring Boot、LangChain4j 与 Qwen 构建，支持 Agent 编排、Function Calling、业务 Tool 集成、SQL智能分析与上下文记忆，实现大模型驱动的企业业务自动化。

AI task manager where an LLM calls real Java methods via Spring AI tool calling to manage tasks in PostgreSQL. Features scoped tool execution and a human-in-the-loop safety pattern for destructive operations.

Clean-room Java 17 terminal coding agent with ReAct, DAG planning, memory, hybrid code search, and MCP