Vishal Mysore

Tools4AI. Agentic Framework for Java, written in 100% Java using Gemini, OpenAI, LocalAI, Anthropic. Build Autonomous Agents in Java with Multi AI voting mechanism. Convert Prompt to HTTP REST Calls, Java Method calls, Shell script calls or swagger rest api calls. Selenium AI Integration, Image processing with AI, Actions on Images with AI

a2ajava. Pure java implementation of Google A2A protocol. Integrate your spring boot java applications with A2A protocol , includes client and sever both. Any agent built with a2ajava will also be exposed as MCP tool automatically

choturobo. Integrate Arduino-based robotics (using the NodeMCU ESP32 or Arduino Nano 368 board) with AI using the MCP (Model Context Protocol) framework from Claude Anthropic

bmad-federated-knowledge. A Git-based federated knowledge system extension for BMAD-METHOD that enables distributed knowledge management across multiple repositories.

a2a-examples. Examples on how to Integrate Google A2A Protocol and Claude MCP protocol in Java applications

AI. Explore the forefront of AI innovation with this dedicated repository, housing cutting-edge examples and implementations. Dive into the latest advancements, stay ahead with groundbreaking applications, and harness the power of state-of-the-art models and techniques. Elevate your understanding of artificial intelligence through hands-on work

a2awebagent. Google A2A (Agent-to-Agent) protocol with Selenium to enable AI-driven web automation, test execution, and evidence capture. This project allows agents to control browsers, validate UI flows, and record structured results — ideal for intelligent testing frameworks and autonomous web interactions.

SpringActions. Integrate your Spring Boot applications with Google's A2A Protocol

vidyaastra. This project implements a graph database using Neo4j to store and analyze cricket matches, players, and teams data. It uses Spring Boot with Spring Data Neo4j for database interactions.

bmad-extn. BMAD extension for creating different agent persona

mc-server-agentic-rag. Agentic RAG is a next-generation AI architecture that combines the precision of structured agent-based reasoning with the power of retrieval-augmented generation. Unlike traditional RAG pipelines that blindly retrieve documents for every query

ap2java. A Java implementation of Google's Agent Payments Protocol (AP2) built on top of a2ajava.

agenticframework. AF4J is Agentic Framework for Java. It demonstrates creation of AI agents using the Java Agent DEvelopment Framework (JADE) and Tools4AI.

mcp-agentic-mesh. use agentic Mesh across 4 different servers for MCP and A2A protocols

neurocaster-server. Neurocaster Server is based on Model Integration Protocol , A protocol designed for seamless integration of LLM models with java based applications and tools

a2a-mongo-rag-search. Integrate Google A2A protocol with MongoDB for RAG (Retrieval augmented generation) search based on semantic matching of tasks and parameters

agenticlog. With Agentic AI, logs don’t just sit as passive records; they become triggers for intelligent actions

a2a-mcp-with-security. a2a and mcp server with spring security , secure your agent with spring based security features

cookGPT. "CookGPT: A Culinary Journey with Your AI-Based Chef"

a2akafkaagent. Google's Agent-to-Agent (A2A) protocol with Apache Kafka using Spring Boot.

agenticmesh. Agentic Mesh framework which utilizes a2a and mcp for building a self-organizing, intelligent ecosystem of AI agents that collaborate and adapt without rigid orchestration or manual intervention.

mamu. LLM API Inferencing Monitoring for Java Based App

langchain4j. Java

mcp-kotlin-rag. Agentic Rag in Kotlin

javaai. TypeScript

agentic-rag-patterns. Reference implementation of Agentic Retrieval-Augmented Generation (Agentic RAG)

mcp-connector. Connect MCP Servers to Client with multilanguage connectors

a2aScala. a2a and MCP protocol with scala

mcp-a2a-client-kotlin. Kotlin Client for both MCP and A2A protocol

a2aClient. Google A2A (agent to agent) client implemented using WebSocket and Java

mcp-apache-thrift. Combining A2A (Agent-to-Agent) and MCP (Model Context Protocol) with Spring Boot and Apache Thrift creates a powerful, polyglot AI orchestration platform.

ap2example. Example for Java implementation of Google's Agent Payments Protocol (AP2) built on top of a2ajava.

easyqz. **EasyQZ** is AI Deep Research agent for quiz generation that allows users to generate quizzes from any article, link, topic, or custom text. Whether you're a student, educator, or professional, EasyQZ helps you test your knowledge, compete with others, and discover trending topics.

a2aPlaywright. A2A and MCP with Playwright integration for web browsing and testing , web automation using AI and playwright

a2a-kotlin. google a2a agent in kotlin

choturobobluetooth. Connect and Chat or Invoke tools with Various LLM , Supports Grok, Gemini, OpenAI, Claude and many more

mcp-rag-server. MCP (Model Context Protocol) Server for Retrieval Augmented Generation using Mongo and Gemini, OpenAI, with A2A support Grok

ragevalinjava. Retrieval augmented Generation (RAG) Evaluation and validation with metrics in Java

a2a-grafana. Integrate Google A2A with Grafana Dashboard , send the tasks and activity details to grafana directly

mcp-kotlin. MCP Server in Kotlin for integration with Claude and other MCP client. Works with a2a protocol as well

multi-cloud. build multi cloud functions

acpexample. Agent Communication Protocol Example in Java , Build ACP agents in Java with simple annotations