Files
mempalace/hooks/mempal_save_hook.sh
T
Milla Jovovich 068dbd9a7b MemPalace: palace architecture, AAAK compression, knowledge graph
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.
2026-04-04 18:16:04 -07:00

144 lines
5.1 KiB
Bash
Executable File

#!/bin/bash
# MEMPALACE SAVE HOOK — Auto-save every N exchanges
#
# Claude Code "Stop" hook. After every assistant response:
# 1. Counts human messages in the session transcript
# 2. Every SAVE_INTERVAL messages, BLOCKS the AI from stopping
# 3. Returns a reason telling the AI to save structured diary + palace entries
# 4. AI does the save (topics, decisions, code, quotes → organized into palace)
# 5. Next Stop fires with stop_hook_active=true → lets AI stop normally
#
# The AI does the classification — it knows what wing/hall/closet to use
# because it has context about the conversation. No regex needed.
#
# === INSTALL ===
# Add to .claude/settings.local.json:
#
# "hooks": {
# "Stop": [{
# "matcher": "*",
# "hooks": [{
# "type": "command",
# "command": "/absolute/path/to/mempal_save_hook.sh",
# "timeout": 30
# }]
# }]
# }
#
# For Codex CLI, add to .codex/hooks.json:
#
# "Stop": [{
# "type": "command",
# "command": "/absolute/path/to/mempal_save_hook.sh",
# "timeout": 30
# }]
#
# === HOW IT WORKS ===
#
# Claude Code sends JSON on stdin with these fields:
# session_id — unique session identifier
# stop_hook_active — true if AI is already in a save cycle (prevents infinite loop)
# transcript_path — path to the JSONL transcript file
#
# When we block, Claude Code shows our "reason" to the AI as a system message.
# The AI then saves to memory, and when it tries to stop again,
# stop_hook_active=true so we let it through. No infinite loop.
#
# === MEMPALACE CLI ===
# This repo uses: mempalace mine <dir>
# or: mempalace mine <dir> --mode convos
# Set MEMPAL_DIR below if you want the hook to auto-ingest after blocking.
# Leave blank to rely on the AI's own save instructions.
#
# === CONFIGURATION ===
SAVE_INTERVAL=15 # Save every N human messages (adjust to taste)
STATE_DIR="$HOME/.mempalace/hook_state"
mkdir -p "$STATE_DIR"
# Optional: set to the directory you want auto-ingested on each save trigger.
# Example: MEMPAL_DIR="$HOME/conversations"
# Leave empty to skip auto-ingest (AI handles saving via the block reason).
MEMPAL_DIR=""
# Read JSON input from stdin
INPUT=$(cat)
# Parse fields from Claude Code's JSON
SESSION_ID=$(echo "$INPUT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('session_id','unknown'))" 2>/dev/null)
STOP_HOOK_ACTIVE=$(echo "$INPUT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('stop_hook_active', False))" 2>/dev/null)
TRANSCRIPT_PATH=$(echo "$INPUT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('transcript_path',''))" 2>/dev/null)
# Expand ~ in path
TRANSCRIPT_PATH="${TRANSCRIPT_PATH/#\~/$HOME}"
# If we're already in a save cycle, let the AI stop normally
# This is the infinite-loop prevention: block once → AI saves → tries to stop again → we let it through
if [ "$STOP_HOOK_ACTIVE" = "True" ] || [ "$STOP_HOOK_ACTIVE" = "true" ]; then
echo "{}"
exit 0
fi
# Count human messages in the JSONL transcript
if [ -f "$TRANSCRIPT_PATH" ]; then
EXCHANGE_COUNT=$(python3 -c "
import json, sys
count = 0
with open('$TRANSCRIPT_PATH') as f:
for line in f:
try:
entry = json.loads(line)
msg = entry.get('message', {})
if isinstance(msg, dict) and msg.get('role') == 'user':
content = msg.get('content', '')
# Skip system/command messages — only count real human input
if isinstance(content, str) and '<command-message>' in content:
continue
count += 1
except:
pass
print(count)
" 2>/dev/null)
else
EXCHANGE_COUNT=0
fi
# Track last save point for this session
LAST_SAVE_FILE="$STATE_DIR/${SESSION_ID}_last_save"
LAST_SAVE=0
if [ -f "$LAST_SAVE_FILE" ]; then
LAST_SAVE=$(cat "$LAST_SAVE_FILE")
fi
SINCE_LAST=$((EXCHANGE_COUNT - LAST_SAVE))
# Log for debugging (check ~/.mempalace/hook_state/hook.log)
echo "[$(date '+%H:%M:%S')] Session $SESSION_ID: $EXCHANGE_COUNT exchanges, $SINCE_LAST since last save" >> "$STATE_DIR/hook.log"
# Time to save?
if [ "$SINCE_LAST" -ge "$SAVE_INTERVAL" ] && [ "$EXCHANGE_COUNT" -gt 0 ]; then
# Update last save point
echo "$EXCHANGE_COUNT" > "$LAST_SAVE_FILE"
echo "[$(date '+%H:%M:%S')] TRIGGERING SAVE at exchange $EXCHANGE_COUNT" >> "$STATE_DIR/hook.log"
# Optional: run mempalace ingest in background if MEMPAL_DIR is set
if [ -n "$MEMPAL_DIR" ] && [ -d "$MEMPAL_DIR" ]; then
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_DIR="$(dirname "$SCRIPT_DIR")"
python3 -m mempalace mine "$MEMPAL_DIR" >> "$STATE_DIR/hook.log" 2>&1 &
fi
# Block the AI and tell it to save
# The "reason" becomes a system message the AI sees and acts on
cat << 'HOOKJSON'
{
"decision": "block",
"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."
}
HOOKJSON
else
# Not time yet — let the AI stop normally
echo "{}"
fi