v2.0.0 — First Release
TestVDB v2.0 — Automated Vector Database Defect Mining
New Features
Fan-Out Attack Trio: 9 concurrent agents (3 attack types x 3 focus profiles) with 3-tier deduplication
Cross-Session Strategy Evolution: strategy_extractor.py, strategy_registry/, strategy_injector.py with cross-DB migration
7-Mode AI Failure Checklist: LLM hallucination detection with halt/reject/rewind policies
Material Passport: SHA-256 contract hash integrity verification, tamper detection
Data Access Level: 4-tier permission declarations (raw/redacted/verified_only) on all 13 agents
Docker Executor: Dual-tier execution (host Python / Docker stdin pipe)
Quick Install
Supports
Milvus | Qdrant | Weaviate | pgvector
Requirements
- Claude Code CLI (latest), Docker 20.10+, Python 3.9+, 10GB+ disk
- License: MIT