memorylisted

# Memory System Skill Unified memory operations across four tiers for AI agents. --- ## Quick Start ```bash # Check system health python3 .claude/skills/memory/scripts/test_memory_health.py # Search memory (Tier 1) python3 .claude/skills/memory/scripts/search_memory.py "git hooks" # Extract episode from session (Tier 2) python3 .claude/skills/memory/scripts/extract_session_episode.py ".agents/sessions/2026-01-01-session-126.json" # Update causal graph (Tier 3) python3 .claude/skills/memory/scripts/update_causal_graph.py ``` --- ## When to Use This Skill | Scenario | Use Memory Router? | Alternative | |----------|-------------------|-------------| | Script needs memory | Yes | - | | Agent needs deep context | No | `context-retrieval` agent | | Human at CLI | No | `/memory-search` command | | Cross-project semantic search | No | Forgetful MCP directly | See [context-retrieval agent](../../../.claude/agents/context-retrieval.md#memory-interface-decision-matrix) for complete decision tree. --- ## Memory-First as Chesterton's Fence **Core Insight**: Memory-first architecture implements Chesterton's Fence principle for AI agents. > "Do not remove a fence until you know why it was put up" - G.K. Chesterton **Translation for agents**: Do not change code/architecture/protocol until you search memory for why it exists. ### Why This Matters **Without memory search** (removing fence without investigation): - Agent encounters complex code, thinks "this is ugly, I'll ref