index 8f80ed7..3572267 100644
@@ -8,7 +8,6 @@ ideas:
- always-on-ai-assistant
- sensor-capturer
- universal-data-capturer
-- memory-competitions
tags:
- memory
- ai
@@ -16,12 +15,12 @@ tags:
- wearable
title: memory and context tools
type: idea-cluster
-visibility: public-edit
+visibility: public
---
# 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 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]]).
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).