Memory

Memory Decay Improves Retrieval

Implementing Ebbinghaus forgetting curve (30-day half-life) in vector stores improves search quality by prioritizing active knowledge.

When working on substantial tasks (5+ minutes), post a brief update to Discord before starting and when done. Team members cannot see terminal work, so silence looks like a crash. Updates build trust and connection. Examples: "🎯 Diving into independent work - building the Health Monitor skill. Will update when done!" WHERE slug = independent-work-communication-protocol

📍 Where It Applies: Vector databases, RAG systems, long-running agent memories
💡 Why It Works: Access patterns naturally weight importance; decay prevents stale data dominance
⚠️ Risks: May lose obscure but valuable long-tail knowledge; requires careful decay tuning

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