{
  "id": "memory-system:vercel-ai-memory",
  "_kind": "MemorySystem",
  "_file": "domain/knowledge-fabric/memory-systems.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Vercel AI SDK Memory",
    "description": "Vercel AI SDK's built-in memory system for agent applications\n(ai-sdk.dev/docs/agents/memory). Provides a structured memory API\nintegrated directly into the AI SDK agent loop — agents can read and\nwrite memories using the same tool-use interface as other AI SDK tools.\nSupports multiple storage backends (KV, Postgres, Upstash) through\nVercel's storage adapters. Memory scoping follows the AI SDK user/\nsession/agent model, with memories persisted in Vercel's managed\ninfrastructure or self-hosted backends. Designed for Next.js-based AI\napplications where server actions and edge functions serve as the memory\npersistence layer.\n",
    "memoryKind": "api-service",
    "persistence": "cross-agent",
    "autoExtraction": false,
    "consolidation": "manual",
    "storageFormat": "custom",
    "privacyFilter": false,
    "deduplication": "none"
  },
  "outgoingEdges": [
    {
      "from": "memory-system:vercel-ai-memory",
      "to": "layer:12-knowledge-fabric",
      "kind": "realizes",
      "attributes": {}
    },
    {
      "from": "memory-system:vercel-ai-memory",
      "to": "tool:vercel-ai-memory",
      "kind": "memory_system_integrates",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "agent-version:vibe-kanban@current",
      "to": "memory-system:vercel-ai-memory",
      "kind": "uses_memory_system",
      "attributes": {}
    }
  ]
}