function-calling

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

Agent Platform for AI-Native Companies

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

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。

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.

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

GitGuru是一个关于GitHub的数据应用。

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

The Java-native AI agent framework. MCP + tool calling + memory + tracing + OpenAI — build AI agents with plain Java.

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

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

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.

声明式 LLM Agent 调用框架（Spring Boot Starter）。写一个接口、打一个注解即可调用大模型；模型、协议、Loop、工具、上下文、记忆、提示词全部可插拔。内置 claude-code / codex / dsh-minimal 等 6 种 Agent 循环，支持 OpenAI / Anthropic / Gemini 三种 API 协议。

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

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。

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.

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.