Add memory/ with audit findings and framework knowledge

7 memory files covering:
- audit-bug-patterns: recurring status.py bug patterns
- vram-model-matching: three-tier model prefix matching
- dashboard-security: .state priority, CORS removal, register-guards
- state-machine-workflow: legal transitions and approval gates
- testing-conventions: pytest patterns and helpers
- audit-process: report conventions and batch processing
- framework-architecture: enforcement layers and key files

memory/audit-process.md

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+# Audit process and report conventions
+
+## Report location
+Root-level dotfiles (`.bug_report.md`, `.adversarial_bug_report.md`, `.verdict.md`) following precedent from previous reviews — NOT task artifacts.
+
+## Bug finder workflow
+Read all source files in parallel, identify bugs, score by severity (1-10), write `.bug_report.md` with Bug N, Location, Description, Suggested Fix.
+
+## Adversarial bug find
+Attack-vector focused — test edge cases, security implications, race conditions, input manipulation. Write `.adversarial_bug_report.md`.
+
+## Batch processing
+Group bugs by severity. High-severity (batch 1) first, then Medium/Low (batch 2). Each bug gets its own task with full lifecycle (SPEC → IMPLEMENTATION → CODE_REVIEW → BUG_REPORT → ADVERSARIAL_BUG_REPORT → DOC_REVIEW → VERDICT).
+
+## Verdict format
+Uses `## Status: PASS` or `## Status: FAIL` structured line (parsed by `_parse_verdict_status_line()` in status.py and `parse_verdict_status()` in dashboard task.py).
+
+## Pre-approved workflow
+User can pre-approve all tasks upfront, allowing the agent to drive all phases to completion without stopping for approval gates.