Overview
What is multi-agent-framework
The multi-agent-framework is a mini framework designed for agent-to-agent (A2A) communication. Its primary goal is to facilitate the creation of a network of agents that can connect and collaboratively solve tasks.
How to Use
To use the multi-agent-framework, developers can integrate it into their projects by following the guidelines provided in the documentation. The framework supports A2A communication and requires setting up agents that can communicate over the A2A protocol.
Key Features
Key features of the multi-agent-framework include support for A2A communication, a modular architecture for easy integration, and built-in testing capabilities using pytest. Code quality is maintained with a linter (ruff) to ensure clean and efficient code.
Where to Use
The multi-agent-framework can be used in various fields such as robotics, distributed systems, and collaborative problem-solving applications where multiple agents need to work together to achieve common goals.
Use Cases
Use cases for the multi-agent-framework include automated task management systems, collaborative robotics, and scenarios where agents need to share information and resources to complete complex tasks efficiently.
Content
A2A
Python A2A
Awesome A2A
A2A Directory
AP2
octelium
adk-go
MultiAgentPPT
a2a-python