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Contextual Structured Memory(CSM)
Memory organized in predefined, interpretable formats supporting symbolic reasoning and precise querying for multi-agent agentic AI systems
In 30 seconds
- What
- Organizes agent memory in predefined schemas with symbolic reasoning and precise querying, enabling structured knowledge graphs instead of unstructured text.
- When to use
- Multi-agent systems needing exact fact retrieval, filtering across many entities, or reasoning over relationships between structured data points.
- Watch out
- Schema design becomes a bottleneck; rigid structures break when real-world data doesn't fit predefined categories or requirements shift.
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Contextual Structured Memory: Overview
Memory organized in predefined, interpretable formats supporting symbolic reasoning and precise querying for multi-agent agentic AI systems
- Predefined memory schemas
- Symbolic reasoning support
- Precise query capabilities
- Structured knowledge graphs
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References
The papers, specifications, and repositories this pattern is based on.
- Knowledge Representation and Reasoning (Brachman & Levesque, 2004)
- Semantic Web Technologies: RDF, RDFS, OWL (Hitzler et al., 2019)
- Description Logics: The Foundation of Semantic Web (Baader et al., 2003)
- Formal Ontology in Information Systems (Guarino, 1998)
- Apache Jena: Semantic Web Framework and Triple Store
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