{
  "id": "knowledge-fabric-impl:mem0-fabric",
  "_kind": "KnowledgeFabricImpl",
  "_file": "agent-stack/knowledge-fabric-impls/memory-service-fabrics.yaml",
  "_cluster": "agent-stack",
  "attributes": {
    "displayName": "Mem0 as Agent Memory Fabric",
    "description": "Mem0 as an agent-facing memory knowledge fabric. Automatically extracts\nmemories from conversations and persists them for cross-session retrieval.\nProvides user-level, session-level, and agent-level memory scopes with a\nsimple add/search/get API. Supports multiple vector store backends\n(Chroma, Qdrant, Pinecone) and integrates with LangChain, CrewAI, and\nother agent frameworks. As a knowledge fabric, Mem0 bridges the gap\nbetween ephemeral conversation context and persistent organizational\nknowledge by automatically extracting and organizing salient facts.\n",
    "knowledgeFileFormats": [
      "conversation-extracts",
      "structured-memories"
    ],
    "retrievalStrategy": "semantic-search",
    "knowledgePersistence": "memory-service",
    "knowledgeScopes": [
      "user",
      "agent",
      "organization"
    ],
    "autoExtractionSupport": true,
    "notes": "Mem0's distinguishing feature is automatic memory extraction — it uses\nan LLM to identify facts, preferences, and decisions from conversations\nand persists them without manual curation. This makes it the closest\nthird-party analog to Claude Code's auto-memory system. The trade-off\nis accuracy of extraction — automated extraction can miss nuance or\nextract noise.\n"
  },
  "outgoingEdges": [
    {
      "from": "knowledge-fabric-impl:mem0-fabric",
      "to": "layer:12-knowledge-fabric",
      "kind": "realizes",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:mem0-fabric",
      "to": "tool:mem0",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:mem0-fabric",
      "to": "memory-system:mem0-service",
      "kind": "uses_memory_system",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}