This article introduces integrating JEV into AgentScope to enable structured, programmatic decision-making and guardrails in AI agent workflows.
This article introduces an end-to-end guide for building, deploying, and collaborating on an intelligent ticket-triage assistant using AgentScope Java and Alibaba Cloud AgentCore.
This article introduces AgentScope Java 2.0, an open-source framework for building distributed, enterprise-grade AI agents with production-ready features.
This article introduces an AI-powered performance analytics system that automatically identifies optimization opportunities in Java/Scala applications
This article introduces AgentScope Builder, an enterprise-grade platform for collaboratively building and managing self-evolving AI agents, alongside its personal counterpart AgentScope Claw.
AgentScope Java 1.1 launches with workspace-driven persistence, pluggable filesystems, auto-context management, and secure sandbox orchestration for scalable enterprise Agents.
This article introduces AgentScope Java's online training plugin for self-evolving AI agents using real production data and Trinity-RFT reinforcement learning.
This article introduces Alibaba Dragonwell 21 AI Extension—a JVM optimized for AI workloads.
This article introduces how AgentScope leverages the A2A protocol and Nacos Registry to enable cross-language, cross-framework agent interoperability and unified service governance.
This article explains Android crash capture for Java and native code, and presents a closed-loop framework from detection to root cause identification...
This article introduces an AI-powered milk tea shop built with AgentScope Java, showcasing multi-agent collaboration, RAG, long-term memory, and enterprise integrations like Nacos and MCP.
This article introduces an AI-powered Werewolf game built with AgentScope Java, where agents simulate human-like reasoning, deception, and collaboration—with seamless human-AI gameplay.
This article introduces the Java memory diagnostics feature. It helps quickly identify the root causes of abnormal memory usage in Java applications from the application and OS perspectives.
This article introduces AgentScope Java 1.0, a framework that enables Java developers to easily build enterprise-grade agentic applications.
This article presents AgentScope Java, a ReAct-powered framework for scalable, transparent AI agent development.
This article describes how to develop a Java AI application in 5 minutes using Spring AI and Alibaba Cloud's Tongyi series of large models.
Spring-ai-alibaba-nl2sql is an important open-source attempt of XiYan GBI product in the data Q&A field, focusing on the core capabilities opened in the NL2SQL scenario.
The release of Spring AI Alibaba 1.0 has introduced a production-ready enterprise-level framework and solution for Java agent development, helping organizations enter a new phase of agent development.
This article introduces how Java and Go developers can contribute to the open-source AI capabilities of the Higress cloud-native API gateway, leveraging Alibaba Cloud's big data and AI resources.
The author has compiled relevant concepts and tool classes, hoping to help everyone use time more gracefully in the process of code development.
