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Interactive 3D/Agent Memory Systems
Memory Type
Context Limit
Tokens8k
Usage
Tokens: 5.6k
Retrieved: 0 memories
Memory reduces hallucination by ~40%
Grounding outputs in retrieved context prevents confabulation.

Agent Memory Systems - Interactive Visualization

AI agents use four types of memory: short-term (context window - fast but limited), long-term (vector store - persistent but requires retrieval), episodic (conversation logs - temporal), and semantic (knowledge graph - structured facts). This demo shows how an agent query flows through all four memory types and assembles a combined context.

  • Short-term memory: context window contents shown with token count and fill percentage
  • Long-term memory: vector store retrieval with cosine similarity scores per result
  • Episodic memory: conversation history log with timestamp and relevance ranking
  • Semantic memory: knowledge graph lookup returning structured entity-relationship facts

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.