inceptionlisted

# Inception Runs the Inception consolidation agent against the memento vault. It clusters notes by semantic similarity (HDBSCAN on QMD embeddings) and synthesizes pattern notes via the configured LLM backend. ## Process 1. Determine the run mode from the user's request: - **Default**: incremental run (only new notes since last run) - **Dry run**: if the user says "dry run", "preview", or "what would inception find" — add `--dry-run` - **Full**: if the user says "full", "all notes", "backfill", or "rescan" — add `--full` - Flags can combine: `--dry-run --full` 2. Run the Inception script: ```bash python3 ~/.claude/hooks/inception.py --verbose [--dry-run] [--full] [--max-clusters N] 2>&1; echo "EXIT:$?" ``` 3. Parse the exit code from the last line (`EXIT:N`) and respond: | Exit | Meaning | Response | |------|---------|----------| | 0 | Success | Parse stderr output for cluster count and notes written. Report to user. | | 1 | Lock held | "Another Inception instance is already running. Try again in a few minutes." | | 2 | Missing deps | "Inception dependencies are missing. Install them with: `pip install numpy hdbscan scikit-learn`" | | 3 | No embeddings | "No embeddings found in QMD. Make sure the vault is indexed: `qmd update -c memento && qmd embed`" | | 5 | Config error | "Configuration error. Check your memento.yml for invalid Inception settings." | 4. For exit 0, summarize: - How many clusters were found - How many pattern notes were written (or "