
Memory Management and Evaluation
AGAI 203 · Module 3
Move beyond basic retrieval into production memory management. This module covers summarization, compression, retrieval quality metrics, reranking, freshness, privacy, and how to choose the right memory architecture for a given agent.
Lessons in this module
Memory Compression and Summarization
Learn how summarization, state extraction, and hierarchical compression help agents extend effective context without flooding prompts.
Evaluating Retrieval Quality
Learn how to measure whether memory retrieval is returning the right information, and how to improve retrieval with metadata, reranking, hybrid search, and test sets.
Choosing the Right Memory Architecture
Learn how to select memory strategies for different agents, balancing task requirements, cost, privacy, latency, freshness, and reliability.
Ask your AI guide
Ask anything about Memory & Context Management — Memory Management and Evaluation, or choose a suggested question below.
AI responses are educational and may not be perfectly accurate. Press Enter to send, Shift+Enter for new line.