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Memory Reading/Writing Operations(MRWO)
Systematic operations for reading, writing, and managing memory access patterns based on recency, relevance, and importance for multi-agent agentic AI systems
In 30 seconds
- What
- Retrieves and stores agent memories using weighted scores combining recency, relevance, and importance to prioritize what each agent accesses.
- When to use
- Multi-agent systems where agents share context and need fast access to the most useful prior interactions without scanning all history.
- Watch out
- Weight tuning is fragile; small changes to coefficients can cause agents to ignore critical information or thrash on irrelevant old data.
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Memory Reading/Writing Operations: Overview
Systematic operations for reading, writing, and managing memory access patterns based on recency, relevance, and importance for multi-agent agentic AI systems
- Recency-based retrieval
- Relevance scoring algorithms
- Importance weighting systems
- Multi-agent access coordination
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References
The papers, specifications, and repositories this pattern is based on.
- Memory Hierarchies in Computer Architecture (Hennessy & Patterson, 2019)
- Information Retrieval: Implementing and Evaluating Search Engines (Büttcher et al., 2016)
- Memory Systems: Cache, DRAM, Disk - Jacob, Ng & Wang (Morgan Kaufmann 2008)
- Redis: Advanced Memory Data Structure Store
- Elasticsearch: Distributed Search and Analytics Engine
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