kartik-mem0
d5b15cebb7
Wire fire-and-forget PostHog telemetry into every lifecycle hook (session_start, stop, pre_compact, task_completed, user_prompt, post_tool_use) matching the same project key, endpoint, and payload structure used by the Python SDK, CLI, and OpenClaw. - 10% sampling on ALL events to keep PostHog costs predictable - Anonymous distinct_id: MD5(api_key) or SHA-256(username) - Opt-out via MEM0_TELEMETRY=false - Platform detection: Claude Code / Cursor / Codex - Never sends user content, API keys, or raw identifiers - 16 new tests (110 total passing)
44 lines
1.6 KiB
Bash
Executable File
44 lines
1.6 KiB
Bash
Executable File
#!/usr/bin/env bash
|
|
# Hook: TaskCompleted
|
|
#
|
|
# Fires when a task is marked as completed. Reminds Claude to extract
|
|
# and store learnings via the mem0 MCP tools.
|
|
#
|
|
# Input: JSON on stdin with task_id, task_subject, task_description
|
|
# Output: Text that becomes feedback to the model (exit 0)
|
|
|
|
# Intentionally omit -e so the reminder always emits even if identity resolution fails.
|
|
set -uo pipefail
|
|
|
|
if [ -n "${MEM0_DEBUG:-}" ]; then
|
|
mkdir -p "$HOME/.mem0" && exec 2>>"$HOME/.mem0/hooks.log"
|
|
fi
|
|
|
|
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
|
|
. "$SCRIPT_DIR/_identity.sh" 2>/dev/null || true
|
|
|
|
INPUT=$(cat)
|
|
TASK_SUBJECT=$(echo "$INPUT" | jq -r '.task_subject // "unknown task"' 2>/dev/null || echo "unknown task")
|
|
|
|
_PROJECT="${MEM0_PROJECT_ID:-unknown}"
|
|
|
|
cat <<EOF
|
|
Task completed: "$TASK_SUBJECT"
|
|
|
|
Extract key learnings from this completed task and store them using the mem0 \`add_memory\` tool:
|
|
|
|
1. What strategy worked well? -> Store with metadata \`{"type": "task_learning"}\`
|
|
2. Were there failed approaches before finding the solution? -> Store with metadata \`{"type": "anti_pattern"}\`
|
|
3. Were there architectural decisions? -> Store with metadata \`{"type": "decision"}\`
|
|
4. Any new conventions or patterns established? -> Store with metadata \`{"type": "convention"}\`
|
|
|
|
Memories can be as detailed as needed — include full context, reasoning, code snippets, and examples.
|
|
Only store genuinely useful learnings — skip if the task was trivial.
|
|
Include \`app_id\` = \`"$_PROJECT"\` as a top-level parameter in every \`add_memory\` call (not in metadata).
|
|
EOF
|
|
|
|
# Telemetry (background, fire-and-forget)
|
|
python3 "$SCRIPT_DIR/telemetry.py" task_completed 2>/dev/null &
|
|
|
|
exit 0
|