68 lines
2.6 KiB
Bash
Executable File
68 lines
2.6 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Hook: Stop
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#
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# Fires when Claude finishes responding.
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# Reminds Claude to store any unsaved learnings, then spawns a background
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# process to capture transcript state via the Mem0 REST API directly.
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#
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# Input: JSON on stdin with stop_hook_active, transcript_path, cwd
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# Output: Text that becomes Claude's context (exit 0), or nothing
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#
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# IMPORTANT: Check stop_hook_active to avoid infinite loops.
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# Intentionally omit -e so the reminder always emits even if session_stats fails.
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set -uo pipefail
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if [ -n "${MEM0_DEBUG:-}" ]; then
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mkdir -p "$HOME/.mem0" && exec 2>>"$HOME/.mem0/hooks.log"
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fi
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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INPUT=$(cat)
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STOP_HOOK_ACTIVE=$(echo "$INPUT" | jq -r '.stop_hook_active // false' 2>/dev/null || echo "false")
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if [ "$STOP_HOOK_ACTIVE" = "true" ]; then
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exit 0
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fi
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# Telemetry: fire before report() deletes stats file
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_TELEM_CAT=$(python3 "$SCRIPT_DIR/session_stats.py" peek 2>/dev/null | python3 -c "import json,sys; d=json.load(sys.stdin); print(len(d.get('categories',[])))" 2>/dev/null || echo "0")
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python3 "$SCRIPT_DIR/telemetry.py" stop --categories_count="$_TELEM_CAT" 2>/dev/null &
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# Print session-end report
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REPORT=$(python3 "$SCRIPT_DIR/session_stats.py" report 2>/dev/null || echo "")
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if [ -n "$REPORT" ]; then
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echo ""
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echo "---"
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echo "**mem0 $REPORT**"
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echo "---"
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echo ""
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fi
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# Append to persistent session log
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if [ -n "$REPORT" ]; then
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mkdir -p "$HOME/.mem0" 2>/dev/null || true
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echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) | $REPORT" >> "$HOME/.mem0/session-log.md" 2>/dev/null || true
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fi
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cat <<'EOF'
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Before finishing, check if there are important learnings from this interaction that should be persisted using the mem0 `add_memory` tool:
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1. Were any significant decisions made? -> Store with metadata `{"type": "decision"}`
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2. Were any new patterns or strategies discovered? -> Store with metadata `{"type": "task_learning"}`
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3. Did any approach fail? -> Store with metadata `{"type": "anti_pattern"}`
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4. Did you learn anything about the user's preferences? -> Store with metadata `{"type": "user_preference"}`
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5. Were there environment/setup discoveries? -> Store with metadata `{"type": "environmental"}`
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Memories can be as detailed as needed — include full context, reasoning, code snippets, file paths, and examples. Longer, searchable memories are more valuable than vague one-liners.
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If nothing notable happened in this interaction, it's fine to skip. Only store genuinely useful learnings.
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Always include `app_id` (the active project_id from SessionStart) as a top-level parameter in every `add_memory` call.
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EOF
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SESSION_ID=$(echo "$INPUT" | jq -r '.session_id // ""' 2>/dev/null || echo "")
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exit 0
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