proffesor-for-testing__agentic-qe/assets/patterns/index.json

{
  "name": "ADR-051 Pattern Memory Store",
  "version": "1.0",
  "description": "Persistent cross-session learning patterns for Agent Booster, Model Router, ONNX Embeddings, and ReasoningBank",
  "created": "2026-01-20",
  "namespace_index": {
    "adr-051": {
      "booster-patterns": {
        "file": "adr-051-booster-patterns.json",
        "patterns": [
          "booster-transform-eligibility",
          "booster-batch-optimization",
          "booster-wasm-fallback"
        ],
        "description": "Agent Booster WASM transforms and fallback strategies"
      },
      "router-patterns": {
        "file": "adr-051-router-patterns.json",
        "patterns": [
          "router-5tier-complexity",
          "router-budget-enforcement",
          "router-booster-integration"
        ],
        "description": "Model Router complexity scoring and budget enforcement"
      },
      "embedding-patterns": {
        "file": "adr-051-embedding-patterns.json",
        "patterns": [
          "embeddings-local-generation",
          "embeddings-lru-cache",
          "embeddings-hyperbolic-space",
          "embeddings-similarity-metrics"
        ],
        "description": "ONNX embeddings generation, caching, and similarity computation"
      },
      "reasoning-patterns": {
        "file": "adr-051-reasoning-patterns.json",
        "patterns": [
          "reasoning-trajectory-tracking",
          "reasoning-pattern-quality-gates",
          "reasoning-experience-replay",
          "reasoning-cross-agent-sharing"
        ],
        "description": "ReasoningBank trajectory learning and pattern consolidation"
      },
      "summary": {
        "file": "adr-051-integration-summary.json",
        "description": "Complete ADR-051 integration architecture overview"
      }
    }
  },
  "pattern_statistics": {
    "total_patterns": 15,
    "namespaces": 5,
    "avg_success_rate": 0.915,
    "implementation_status": "Production Ready"
  },
  "access_patterns": [
    {
      "pattern_type": "Simple Lookup",
      "operation": "Load specific pattern by key",
      "time_complexity": "O(1)",
      "use_case": "Quick eligibility checks, cache lookup"
    },
    {
      "pattern_type": "Namespace Query",
      "operation": "Load all patterns in namespace",
      "time_complexity": "O(n) where n=patterns per namespace",
      "use_case": "Multi-pattern decision making, agent coordination"
    },
    {
      "pattern_type": "Semantic Search",
      "operation": "Find patterns by similarity",
      "time_complexity": "O(n) with embeddings",
      "use_case": "Pattern discovery, cross-session learning"
    }
  ],
  "session_initialization": {
    "steps": [
      "Load index.json to discover available patterns",
      "Initialize embedding cache from embeddings-patterns",
      "Load router configuration from router-patterns",
      "Initialize booster eligibility rules from booster-patterns",
      "Setup ReasoningBank trajectory database from reasoning-patterns",
      "Configure quality gates and thresholds",
      "Register pattern sharing channels"
    ],
    "initialization_time": "<100ms"
  },
  "cross_session_learning": {
    "enabled": true,
    "persistence_layer": "JSON files in .agentic-qe/patterns/",
    "synchronization": "File-based with timestamps",
    "conflict_resolution": "Latest timestamp wins",
    "archival_strategy": "Keep 30-day history in patterns-archive/",
    "memory_coordination": {
      "agent_communication": "Via shared pattern namespace",
      "knowledge_sharing": "Gossip protocol simulation via file watching",
      "learning_integration": "Apply new patterns on each session start"
    }
  },
  "usage_examples": {
    "example_1_booster_check": {
      "query": "Is 'var-to-const' transform eligible for Agent Booster?",
      "lookup": "patterns['adr-051/booster-patterns']['booster-transform-eligibility'].eligibility_criteria.simple_transforms",
      "result": "YES - found in eligibility list"
    },
    "example_2_router_selection": {
      "query": "Route a 5-file refactoring task",
      "lookup": "patterns['adr-051/router-patterns']['router-5tier-complexity'].scoring_factors",
      "result": "Complexity score 6 → Route to Sonnet tier"
    },
    "example_3_embedding_cache": {
      "query": "Check embedding cache for similarity query",
      "lookup": "patterns['adr-051/embedding-patterns']['embeddings-lru-cache'].cache_key_strategy",
      "result": "Check SHA256(text) in cache, 70% expected hit rate"
    },
    "example_4_pattern_quality": {
      "query": "Is new trajectory eligible for ReasoningBank?",
      "lookup": "patterns['adr-051/reasoning-patterns']['reasoning-pattern-quality-gates'].gate_thresholds",
      "result": "Check composite score >= 0.80 for silver tier"
    }
  },
  "maintenance": {
    "review_frequency": "Monthly",
    "update_triggers": [
      "New successful pattern discovered",
      "Pattern success rate drops below threshold",
      "New component integration requires patterns",
      "Performance optimization identified"
    ],
    "archival_directory": ".agentic-qe/patterns-archive/",
    "rollback_capability": "Restore from archive by date"
  },
  "notes": "This index enables fast pattern discovery and multi-session learning without requiring external MCP tools or CLI. Patterns are loaded on session initialization and used throughout agent coordination."
}