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Agent Memory Architecture Patterns
How to design durable, queryable memory systems for autonomous agents — covering working memory, episodic storage, semantic search, and memory lifecycle management
Commands
$ openclaw memory update --summarize
$ openclaw memory search --semantic 'topic keyword'
$ openclaw session list --with-memory
$ openclaw config set memory.ttl 7d
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Agent Memory Architecture Patterns: Working vs. Persistent Memory
Agent Memory Architecture Patterns# Agent Memory Architecture Patterns Designing robust memory systems for autonomous agents requires understanding the distinct roles of different memory tiers and when to use each. ## Key Concepts - **Working Memory**: Holds the current task context and in-flight state for the active session only
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