Overview
What is llm-agent-to-agent-from-scratch
llm-agent-to-agent-from-scratch is a mini framework designed for agent-to-agent (A2A) communication, aimed at creating a network of agents that can connect and collaboratively solve tasks.
How to Use
To use llm-agent-to-agent-from-scratch, developers can integrate the framework into their projects by following the guidelines provided in the documentation, ensuring to utilize the linter (ruff) for code quality and pytest for testing.
Key Features
Key features include a focus on A2A communication, a structured framework for agent interaction, and built-in tools for maintaining code quality and testing.
Where to Use
llm-agent-to-agent-from-scratch can be used in various fields such as artificial intelligence, robotics, and any domain requiring collaborative problem-solving among multiple agents.
Use Cases
Use cases include multi-agent systems in AI research, collaborative robotics, distributed computing tasks, and scenarios where agents need to work together to achieve complex goals.
Content
A2A
Python A2A
Awesome A2A
A2A Directory
AP2
octelium
adk-go
MultiAgentPPT
a2a-python