Interactive Memory Demo

Memory systems transform agents from stateless functions into intelligent, context-aware assistants

Short-term storage handles active sessions; long-term storage persists user facts across conversations

Without memory, agents forget context immediately and provide generic, repetitive responses

With memory, agents remember preferences, build on past conversations, and personalize interactions

Keyword search matches exact words; semantic search understands meaning and finds related content

Hybrid search combines precision of keyword matching with intelligence of semantic understanding

Top-K parameter limits result count; threshold filters low-quality results below similarity cutoff

Memory consolidation transforms raw data through scoring, clustering, and summarization

Importance scoring filters 50-70% of trivial memories immediately (greetings, clicks, timestamps)

Clustering groups semantically similar memories for better organization and targeted retrieval

Summarization achieves 75-90% compression while preserving all critical facts and relationships

Complete pipeline: Raw data → Scored → Clustered → Summarized → Stored with embeddings

Hands-on practice builds intuition that theory alone cannot provide

Real-world memory systems combine storage, retrieval, and consolidation in production workflows

Interactive demos accelerate learning by letting you experience memory systems directly