intermediateCommunityQuiz
Agent Memory Retrieval Patterns
Patterns for designing efficient memory retrieval in AI agents — covering semantic search, working memory vs long-term storage, and context-aware recall strategies.
Commands
$ openclaw memory search --query 'user preferences' --limit 5
$ openclaw memory update --summarize --session-id SESSION_ID
$ openclaw session new --context-limit 4000
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Two-Tier Memory Architecture: Session vs Persistent Recall
Agent Memory Retrieval Patterns# Agent Memory Retrieval Patterns Effective agent memory retrieval relies on a two-tier architecture: **working memory** (active session context) and **long-term memory** (persistent cross-session storage). ## Core Concepts ### Semantic Search vs Keyword Search Keyword search fails when users par
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