agenticmesh

# AgenticMesh AgenticMesh is a powerful JVM-based ecosystem for implementing agent-based distributed systems using standardized protocols like A2A (Agent-to-Agent) and MCP (Model Context Protocol). It provides a robust framework for building intelligent, autonomous agent networks that can communicate and collaborate effectively. ## Overview AgenticMesh enables the development of sophisticated agent-based systems where multiple autonomous agents work together to solve complex problems. Built primarily for JVM languages (Java, Kotlin, Scala, Groovy), it emphasizes: - **Protocol-First Design**: Built around A2A and MCP protocols for standardized agent communication - **Multi-Agent Collaboration**: Support for complex agent interaction patterns and behaviors - **JVM Language Support**: First-class support for multiple JVM languages - **Flexible Architecture**: Implementation of various mesh patterns for different use cases - **Intelligent Agents**: Built-in support for AI/ML model integration through MCP ## Key Features - **A2A Protocol Integration**: Native support for Agent-to-Agent communication protocol - **MCP Protocol Support**: Built-in capabilities for Model Context Protocol integration - **Pattern Templates**: Ready-to-use implementations of common agent mesh patterns - **Language Agnostic**: Core functionality accessible from any JVM language - **Scalable Architecture**: Designed for distributed and cloud-native deployments ## Supported Patterns AgenticMesh provides implementations for several key architectural patterns: 1. **Pipeline Pattern**: Sequential agent processing chains 2. **Hub-and-Spoke**: Centralized coordination with specialized agents 3. **Decentralized Mesh**: Peer-to-peer agent communication 4. **Event-Driven**: Reactive agent behaviors 5. **Blackboard Pattern**: Shared state and collaborative problem-solving ## Getting Started ### Prerequisites - JDK 11 or higher - Maven or Gradle - Basic understanding of agent-based systems ### Installation ```xml <dependency> <groupId>org.agenticmesh</groupId> <artifactId>agenticmesh-core</artifactId> <version>1.0.0</version> </dependency> ``` ### Basic Usage ```java // Initialize an agent mesh AgenticMesh mesh = AgenticMesh.create() .withProtocol(A2AProtocol.getInstance()) .withProtocol(MCPProtocol.getInstance()) .build(); // Create and register an agent Agent agent = mesh.createAgent("ProcessingAgent") .withCapability(MCPCapability.class) .withHandler(message -> { // Agent logic here }) .register(); ``` ## Documentation For detailed documentation and examples, please visit: - [Pattern Examples](examples/) - [API Documentation](docs/api) - [Protocol Specifications](docs/protocols) ## Examples Check out our example implementations in the [examples](examples/) directory: - Hub-and-Spoke pattern implementation - Pipeline processing examples - Event-driven agent systems