## Why

The audit-harness (hooks + skills + AuditContext) and Parlant (GuidelineStore + Journey engine) provide two proven patterns for agent session management. audit-harness solves context-window loss through persistent audit trails, graded recovery, and structured commands (/start → /end → /recover → /report-daily). Parlant solves behavioral consistency through a versioned guideline document store with tag/label-based retrieval, journey-based SOPs, and backtrack detection.

Porting these patterns into boocode's agent ecosystem gives every agent working in this repo persistent session management, cross-session user correction awareness, and behavioral guideline enforcement — without building any of it from scratch.

## What Changes

### New Capabilities

- **Data Directory Convention**: `.boo/runs/` directory with buffer files, session dirs, `.current_session` handshake, unified `index.json`. `AUDIT_DOT_DIR` env var for platform override.

- **Session Lifecycle Commands**: `/start` creates named audit sessions with auto-recovery (L0+L2). `/end` flushes buffers, runs integrity checks, generates `session_summary.md`. `/recover` graded context loading (L0–L3). `/report-daily` aggregates all sessions into a 7-section report; `/report-daily review` also runs morning self-review.

- **User Correction Tracking**: Structured `user_correction` records with `original_claim`/`correction`/`principle_extracted`/`persisted_to`. Auto-detected on `/end`. Correction-as-precedent enforcement when agent actions contradict prior corrections.

- **Behavioral Guidelines Store**: Versioned GuidelineDocumentStore ported from Parlant with condition+action+description content model, tag/label filtering, and content-based `find_guideline()`. Journey → guideline auto-projection (SOP nodes → guidelines with follow-up edges). Journey backtrack detection batch.

### Dependencies

- Existing audit-harness patterns (audit-context.py, hooks, skills) reference implementation.
- Parlant's GuidelineStore (guidelines.py) and JourneyStore (journeys.py) reference implementation.
- No new external services. File-based JSONL storage (audit-harness pattern).
