This directory contains examples demonstrating caching strategies for multi-agent systems.
- example_multi_agent_caching.py - Multi-agent caching implementation
- quick_start_agent_caching.py - Quick start guide for caching
- test_simple_agent_caching.py - Simple caching tests
Caching in multi-agent systems improves performance by storing frequently accessed data and computation results. These examples demonstrate various caching strategies for agent interactions, tool calls, and shared state.