Overview
What is a2a-protocol-demo7
a2a-protocol-demo7 is a Python-based project that demonstrates Smart Context Memory for LLM Agents. It showcases how to manage high-fidelity memory by retaining key knowledge and forgetting irrelevant small talk through a priority-based eviction algorithm and RAG source tracking mechanism.
How to Use
To use a2a-protocol-demo7, install the required dependencies using 'pip install fastapi uvicorn pydantic requests'. Start the server with 'python server.py', which will listen on port 8000 for chat requests. Then, run the demonstration client using 'python client.py' to simulate a long conversation and observe memory management in action.
Key Features
Key features of a2a-protocol-demo7 include: 1) Priority Eviction, which prioritizes retaining System Prompts and RAG documents while discarding small talk; 2) Source Tracking, where each knowledge slot includes a source_id; 3) Deduplication, preventing duplicate content from occupying memory space.
Where to Use
a2a-protocol-demo7 can be used in fields requiring advanced memory management for conversational agents, such as customer support systems, virtual assistants, and any application leveraging large language models (LLMs) for complex interactions.
Use Cases
Use cases for a2a-protocol-demo7 include maintaining context in long conversations, ensuring critical information is retained while irrelevant details are forgotten, and enhancing the performance of LLM agents in dynamic environments.
Content
A2A
Python A2A
Awesome A2A
adk-go
A2A LangGraph
adk-go
AP2
octelium
a2a-python
