Update wiki/cluster-memory-and-context.md
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+---
+type: idea-cluster
+title: memory and context tools
+tags: [memory, ai, context, wearable]
+ideas:
+ - brain-rewinder
+ - episodic-memory-builder
+ - axon
+ - me-model
+ - life-search
+ - always-on-ai-assistant
+ - sensor-capturer
+ - universal-data-capturer
+ - memory-competitions
+---
+
+# memory and context tools
+
+the deepest recurring theme across all idea sources: how to capture, store, retrieve, and use personal context and memory. this cluster represents a full stack from hardware capture ([[sensor-capturer|sensory devices]], [[always-on-ai-assistant|always-on recording]]) through storage and indexing ([[axon|axon]], [[me-model|me model]], [[universal-data-capturer|data capturer]]) to retrieval and training ([[life-search|life search]], [[brain-rewinder|brain rewinder]], [[episodic-memory-builder|episodic memory builder]], [[memory-competitions|memory skills]]).
+
+the unifying insight: humans lose enormous amounts of valuable information — thoughts, conversations, experiences, context — and technology should help retain and resurface it. the approaches range from passive capture (always listening) to active training (episodic recall games) to sensory triggering (smell/sound-based memory invocation).
+
+the most practical near-term path is probably the always-on AI assistant that transcribes and indexes everything, combined with a good search interface. the hardware-intensive ideas (sensor capturer, brain wave devices) are longer-term.