068dbd9a7b
The memory system: - Palace structure: Wings (people/projects) → Rooms (topics) → Closets (AAAK compressed) → Drawers (verbatim transcripts) - Halls connect related rooms within a wing - Tunnels cross-reference rooms across wings - AAAK: 30x lossless compression dialect for AI agents - Knowledge graph: temporal entity-relationship triples (SQLite) - Palace graph: room-based navigation with tunnel detection - MCP server: 19 tools — search, graph traversal, agent diary, AAAK auto-teach - Onboarding: guided setup generates wing config + AAAK entity registry - Contradiction detection: catches wrong pronouns, names, ages - Auto-save hooks for Claude Code 96.6% Recall@5 on LongMemEval — highest zero-API score published. 100% with optional Haiku rerank (500/500). Local. Free. No API key required.
144 lines
5.1 KiB
Bash
Executable File
144 lines
5.1 KiB
Bash
Executable File
#!/bin/bash
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# MEMPALACE SAVE HOOK — Auto-save every N exchanges
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#
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# Claude Code "Stop" hook. After every assistant response:
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# 1. Counts human messages in the session transcript
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# 2. Every SAVE_INTERVAL messages, BLOCKS the AI from stopping
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# 3. Returns a reason telling the AI to save structured diary + palace entries
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# 4. AI does the save (topics, decisions, code, quotes → organized into palace)
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# 5. Next Stop fires with stop_hook_active=true → lets AI stop normally
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#
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# The AI does the classification — it knows what wing/hall/closet to use
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# because it has context about the conversation. No regex needed.
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#
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# === INSTALL ===
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# Add to .claude/settings.local.json:
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#
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# "hooks": {
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# "Stop": [{
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# "matcher": "*",
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# "hooks": [{
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# "type": "command",
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# "command": "/absolute/path/to/mempal_save_hook.sh",
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# "timeout": 30
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# }]
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# }]
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# }
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#
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# For Codex CLI, add to .codex/hooks.json:
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#
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# "Stop": [{
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# "type": "command",
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# "command": "/absolute/path/to/mempal_save_hook.sh",
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# "timeout": 30
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# }]
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#
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# === HOW IT WORKS ===
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#
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# Claude Code sends JSON on stdin with these fields:
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# session_id — unique session identifier
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# stop_hook_active — true if AI is already in a save cycle (prevents infinite loop)
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# transcript_path — path to the JSONL transcript file
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#
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# When we block, Claude Code shows our "reason" to the AI as a system message.
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# The AI then saves to memory, and when it tries to stop again,
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# stop_hook_active=true so we let it through. No infinite loop.
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#
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# === MEMPALACE CLI ===
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# This repo uses: mempalace mine <dir>
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# or: mempalace mine <dir> --mode convos
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# Set MEMPAL_DIR below if you want the hook to auto-ingest after blocking.
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# Leave blank to rely on the AI's own save instructions.
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#
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# === CONFIGURATION ===
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SAVE_INTERVAL=15 # Save every N human messages (adjust to taste)
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STATE_DIR="$HOME/.mempalace/hook_state"
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mkdir -p "$STATE_DIR"
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# Optional: set to the directory you want auto-ingested on each save trigger.
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# Example: MEMPAL_DIR="$HOME/conversations"
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# Leave empty to skip auto-ingest (AI handles saving via the block reason).
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MEMPAL_DIR=""
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# Read JSON input from stdin
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INPUT=$(cat)
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# Parse fields from Claude Code's JSON
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SESSION_ID=$(echo "$INPUT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('session_id','unknown'))" 2>/dev/null)
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STOP_HOOK_ACTIVE=$(echo "$INPUT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('stop_hook_active', False))" 2>/dev/null)
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TRANSCRIPT_PATH=$(echo "$INPUT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('transcript_path',''))" 2>/dev/null)
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# Expand ~ in path
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TRANSCRIPT_PATH="${TRANSCRIPT_PATH/#\~/$HOME}"
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# If we're already in a save cycle, let the AI stop normally
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# This is the infinite-loop prevention: block once → AI saves → tries to stop again → we let it through
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if [ "$STOP_HOOK_ACTIVE" = "True" ] || [ "$STOP_HOOK_ACTIVE" = "true" ]; then
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echo "{}"
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exit 0
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fi
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# Count human messages in the JSONL transcript
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if [ -f "$TRANSCRIPT_PATH" ]; then
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EXCHANGE_COUNT=$(python3 -c "
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import json, sys
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count = 0
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with open('$TRANSCRIPT_PATH') as f:
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for line in f:
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try:
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entry = json.loads(line)
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msg = entry.get('message', {})
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if isinstance(msg, dict) and msg.get('role') == 'user':
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content = msg.get('content', '')
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# Skip system/command messages — only count real human input
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if isinstance(content, str) and '<command-message>' in content:
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continue
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count += 1
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except:
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pass
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print(count)
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" 2>/dev/null)
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else
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EXCHANGE_COUNT=0
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fi
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# Track last save point for this session
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LAST_SAVE_FILE="$STATE_DIR/${SESSION_ID}_last_save"
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LAST_SAVE=0
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if [ -f "$LAST_SAVE_FILE" ]; then
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LAST_SAVE=$(cat "$LAST_SAVE_FILE")
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fi
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SINCE_LAST=$((EXCHANGE_COUNT - LAST_SAVE))
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# Log for debugging (check ~/.mempalace/hook_state/hook.log)
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echo "[$(date '+%H:%M:%S')] Session $SESSION_ID: $EXCHANGE_COUNT exchanges, $SINCE_LAST since last save" >> "$STATE_DIR/hook.log"
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# Time to save?
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if [ "$SINCE_LAST" -ge "$SAVE_INTERVAL" ] && [ "$EXCHANGE_COUNT" -gt 0 ]; then
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# Update last save point
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echo "$EXCHANGE_COUNT" > "$LAST_SAVE_FILE"
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echo "[$(date '+%H:%M:%S')] TRIGGERING SAVE at exchange $EXCHANGE_COUNT" >> "$STATE_DIR/hook.log"
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# Optional: run mempalace ingest in background if MEMPAL_DIR is set
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if [ -n "$MEMPAL_DIR" ] && [ -d "$MEMPAL_DIR" ]; then
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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REPO_DIR="$(dirname "$SCRIPT_DIR")"
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python3 -m mempalace mine "$MEMPAL_DIR" >> "$STATE_DIR/hook.log" 2>&1 &
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fi
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# Block the AI and tell it to save
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# The "reason" becomes a system message the AI sees and acts on
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cat << 'HOOKJSON'
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{
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"decision": "block",
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"reason": "AUTO-SAVE checkpoint. Save key topics, decisions, quotes, and code from this session to your memory system. Organize into appropriate categories. Use verbatim quotes where possible. Continue conversation after saving."
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}
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HOOKJSON
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else
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# Not time yet — let the AI stop normally
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echo "{}"
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fi
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