a2a-ollama

CorticalFlow
5
Implementation of Google's A2A protocol with Ollama for local LLM inference and MCP integration.

Overview

What is a2a-ollama

a2a-ollama is an implementation of Google's Agent2Agent (A2A) protocol that integrates with Ollama for local LLM (Large Language Model) inference and Model Context Protocol (MCP) integration, enabling efficient communication and tool sharing between agents.

How to Use

To use a2a-ollama, install the required dependencies, ensure Python 3.8+ is installed, and run the server and client scripts provided in the project structure. Example implementations are available to demonstrate various functionalities.

Key Features

Key features of a2a-ollama include core A2A protocol implementation, task lifecycle management, message handling, integration with Ollama for LLM inference, and a bridge for connecting A2A with MCP for tool usage and sharing.

Where to Use

a2a-ollama can be used in fields such as artificial intelligence, natural language processing, and automation, particularly in scenarios requiring agent communication and collaboration.

Use Cases

Use cases for a2a-ollama include chatbots, multi-agent systems working together, real-time data streaming, proactive task notifications via webhooks, and agents utilizing or exposing capabilities through MCP.

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