“Java”

Use for Java package layout, language level (8), and project conventions in contentstack-java.

Monitor Java Virtual Machines running on IBM i including heap memory usage, garbage collection activity, thread counts, and JVM configuration.

Java for our.

75 semantic Java analysis tools via Eclipse JDT: navigation, refactoring, code intelligence.

MCP server for Java call graph generation, static analysis, method chains & config management

Kotlin & Java Library Sources

aoreshkov

Kotlin/Java library sources, public API and KDoc from the real Maven sources jar, for AI agents

Java framework for distributed, long-running agents with typed event streams, permission gating, middleware and subagents.

Code-first Java toolkit for building and testing AI agents, with multi-agent hierarchies, a dev UI and Maven packages.

Java SDK for calling LLMs such as OpenAI, Azure OpenAI and Hugging Face, with plugins that chain functions and planners.

Java MCP Debugger

mazen-aissa

Java MCP Debugger: Expose Java debugging as Model Context Protocol tools in VS Code and Cursor

MCP Server for Java

saika

Expose VSCode features such as find type or get type definition as MCP, enabling the LLM to access these functionalities.

Tomcat

Al-rimi

AI-Assisted Java EE Support Extension for Tomcat

Open durable execution: write async await code that runs on the database or queue you choose.

Document processing infrastructure for AI agents that parses, extracts, splits and verifies documents.

Secure, elastic infrastructure that runs AI-generated code in sandboxes created in under 90 milliseconds.

AWS's AI assistant for developers that chats, writes and tests code, upgrades Java and .NET apps, and helps operate AWS

Fully local, voice-enabled assistant that browses the web, writes code and plans tasks without cloud services

Structured error knowledge database for AI coding agents.

AGENTS.md from agentscope-ai/agentscope-java: 121 lines covering 1.

Subagent "ccxt-pr-reviewer" from ccxt/ccxt: End-to-end review of a CCXT pull request.

AGENTS.md from mock-server/mockserver-monorepo: 399 lines covering Instruction Priority, Project Overview, Agent Operating Model, Git Policy and more.

Java and React platform for building and running AI apps with a visual flow editor, reusable Store items and a plugin system.

Apache-2.0 Java platform for building AI agents and bots, with RAG knowledge bases, visual workflows and MCP tool support.

Open-source observability for AI apps: traces LLM calls, prompts, retrieval and agent steps via OpenTelemetry

Tracing, evaluation and monitoring for LLM apps and agents, with SDKs for several languages