Episodic Memory
Master how AI agents store and retrieve personal experiences, contextual memories, and temporal events
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0 / 5 completedThe Personal Experience Database
While semantic memory stores facts ("Paris is the capital of France"), episodic memory stores experiences: "The user asked about pricing at 10 AM yesterday."
Episodic memory is your agent's autobiographical database—a chronological record of interactions, conversations, decisions, and events. It enables agents to remember what happened, when it happened, and in what context.
This temporal, contextual memory is critical for maintaining coherent conversations, personalizing responses, and learning from past interactions.
Interactive: Semantic vs Episodic Memory
Toggle between memory types to see how they differ in structure and purpose.
Semantic Memory (Facts & Knowledge)
Timeless, context-independent information about the world.
🎯 Why Agents Need Episodic Memory
- •Conversation Continuity: Reference past messages and maintain context
- •Personalization: Remember user preferences and interaction patterns
- •Learning from Experience: Adapt based on what worked/failed before
- •Temporal Reasoning: Understand sequences, trends, and patterns over time
🏗️ Core Components
- •Event: What happened (message, action, decision)
- •Timestamp: When it happened (precise temporal marker)
- •Context: Who, where, why (session, user, intent)
- •Metadata: Additional attributes (sentiment, topic, outcome)