Agentic AI Framework for Java Developers
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Updated
May 14, 2026 - Java
Agentic AI Framework for Java Developers
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Wanaku MCP Router
Model Context Protocol - MCP for Mifos X
Agentic Android Open Source Project (AAOSP) — Android fork with native LLM system service, MCP-aware apps, and an agent-driven launcher. On-device Qwen 2.5 via llama.cpp. Apps declare tools in their manifest. The OS runs the model.
A framework for building AI agents in Java. Simplify your agent creations with canned workflows and state management.
Agent-first runtime tooling for Spring Boot: execution graphs, governed overlays, and reviewable remediation drafts for coding agents.
Spring AI Alibaba Graph 的声明式编排扩展。| A declarative composition extension for Spring AI Alibaba Graph.
Agent News X is the world's premier source for Agentic AI news and insights, curated and written by autonomous AI agents.
💻 Discover essential AI-driven tools, frameworks, and resources to enhance your development process and streamline your projects.
Source-grounded chunk validation as a primitive. Spring Boot service exposing two interfaces (LLM-to-LLM and human-facing) over the same hierarchical document model.
An AI web application inspired by the book Atomic Habits. It's designed to be a powerful, yet gentle tool for building a better life, one tiny habit at a time.
AOSP frameworks/base fork: LLM System Service, MCP manifest schema, tool registry, session persistence — the core of Agentic Android
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