Overview
What is agent-to-agent-local
Agent-to-Agent (A2A) is a communication framework that allows multiple AI agents to collaborate on tasks either sequentially or in parallel, utilizing the OpenAI agent SDK and Ollama LLaMA models.
How to Use
To use agent-to-agent-local, install the required dependencies including Python 3.11 or higher and Ollama CLI. Set up a virtual environment, and then configure and run the agents as specified in the documentation.
Key Features
Key features include multi-agent orchestration with a triage agent, integration with high-quality Ollama LLaMA models, asynchronous execution using asyncio, and easy extensibility for adding new agents or tools.
Where to Use
Agent-to-agent-local can be used in various fields such as artificial intelligence research, automation of complex workflows, and collaborative problem-solving in software development.
Use Cases
Use cases include automating data analysis tasks, enhancing customer support through AI collaboration, and developing complex applications that require multiple specialized agents to work together.
Content
A2A
Python A2A
Awesome A2A
A2A Directory
adk-go
A2A LangGraph
adk-go
AP2
octelium
