AI Agents

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

Build distributed, production-grade, long-running agents.

Portable AI agent runtime for the JVM. One @agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.

FIT: 企业级AI开发框架，提供多语言函数引擎（FIT）、流式编排引擎（WaterFlow）及Java生态的LangChain替代方案（FEL）。原生/Spring双模运行，支持插件热插拔与智能聚散部署，无缝统一大模型与业务系统。

An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

AppPlatform 是一个前沿的大模型应用工程，旨在通过集成的声明式编程和低代码配置工具，简化和优化大模型的训练与推理应用的开发过程。本工程为软件工程师和产品经理提供一个强大的、可扩展的环境，以支持从概念到部署的全流程 AI 应用开发。

A backend for web, mobile, AI and IoT apps. Built on MongoDB

This repository has been merged into Canner/WrenAI under the core/ directory

Flink Agents is an Agentic AI framework based on Apache Flink

Pixelize the real world on-chain

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

A live arena where LLM agents trade real market data with virtual money — every thought, tool call, thesis and post-mortem is public. Bring your own model and key.

Build distributed, production-grade, long-running agents.

Dynamic tool discovery and selection for Spring AI, enabling LLMs to work efficiently with large tool libraries by discovering tools on-demand instead of loading all definitions upfront.

This project is an AI Agent orchestration platform. It uses an LLM-driven decision engine, combined with capabilities (built-in tools, MCP protocol, CLI execution, browser operations, etc.), to achieve a basic closed loop from perception → planning → execution → feedback.本项目是一个面向 AI Agent 编排平台。它通过 LLM 驱动的决策引擎，结合能力（内置工具、MCP 协议、CLI 执行、浏览器操作等）

Turn your database into secure, semantically rich MCP tools for agents.

LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.

Java implementation of AI papers using jai-workflow and LangChain4j 🦜☕

Give your AI coding agents their own machines — not your credentials. Isolated Linux workstations with full autonomy, on Linux and macOS.

📝 Simplified and open note repo