{
  "id": "lib-process:ai-agents-conversational--long-term-memory-management",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "long-term-memory-management",
    "description": "Long-Term Memory and User Profile Management - Process for building persistent memory systems that track\nuser preferences, historical interactions, learned facts, and personalization across sessions.",
    "libraryPath": "library/specializations/ai-agents-conversational/long-term-memory-management.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- Zep: https://docs.getzep.com/\n- Mem0: https://docs.mem0.ai/\n- User Modeling: https://en.wikipedia.org/wiki/User_modeling"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/long-term-memory-management', {\n  systemName: 'user-memory',\n  userAttributes: ['preferences', 'history', 'facts'],\n  factTypes: ['personal', 'preferences', 'context']\n});",
    "usesAgents": [
      "user-profile-manager",
      "fact-extractor",
      "preference-developer",
      "personalization-developer",
      "privacy-developer"
    ],
    "usesSkills": [
      "entity-memory-store"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--long-term-memory-management",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--long-term-memory-management",
      "to": "workflow:agent-evaluation-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--long-term-memory-management",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}