Salesforce developed Agentic Memory to overcome limitations of stateless AI agents with small context windows. The system uses a structured data layer that separates short-term session context from long-term persistent memory anchored to profile graphs. Key innovations include write and read gates with confidence scoring, hybrid semantic validation to prevent duplication, and episodic memory that preserves event sequences. The architecture treats memory as inspectable, governable data rather than prompt text, enabling agents to maintain continuity across sessions while meeting enterprise requirements for auditability, access control, and compliance at scale.
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