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Portable AI Memory

Complete Memory Store

A complete PAM memory store demonstrating multiple memory types, semantic relations, conversations index, and integrity verification.

Example

Section titled “Example”
{
  "schema": "portable-ai-memory",
  "schema_version": "1.0",
  "spec_uri": "https://portable-ai-memory.org/spec/v1.0",
  "export_id": "e47ac10b-58cc-4372-a567-0e02b2c3d479",
  "exported_by": "pam-converter/1.0.0",
  "export_date": "2026-02-15T22:00:00Z",
  "owner": {
    "id": "550e8400-e29b-41d4-a716-446655440000",
    "did": "did:key:z6MkhaXgBZDvotDkL5257faiztiGiC2QtKLGpbnnEGta2doK",
    "created_at": "2024-06-01T10:00:00Z"
  },
  "memories": [
    {
      "id": "mem-001-identity",
      "type": "identity",
      "custom_type": null,
      "status": "active",
      "content": "User is fluent in multiple languages, communicates frequently in both English and Spanish, and demonstrates strong technical expertise across networking, database administration, and software development.",
      "content_hash": "sha256:d08b457fe9df78c0186ba99956a3111f9b0566a31ea0350fa39858ffe7aa82d0",
      "summary": "Multilingual tech professional",
      "tags": [
        "identity",
        "language",
        "technical"
      ],
      "confidence": {
        "initial": 1.0,
        "current": 1.0,
        "decay_model": "none",
        "last_reinforced": "2026-02-15T20:00:00Z"
      },
      "temporal": {
        "created_at": "2024-06-01T10:00:00Z",
        "updated_at": "2026-02-15T20:00:00Z",
        "valid_from": "2024-06-01T10:00:00Z",
        "valid_until": null,
        "superseded_by": null
      },
      "provenance": {
        "platform": "claude",
        "platform_user_id": null,
        "conversation_ref": "conv-001",
        "message_ref": null,
        "extraction_method": "llm_inference",
        "extracted_at": "2024-06-15T14:00:00Z",
        "extractor": "pam-converter/1.0.0"
      },
      "access": {
        "visibility": "private",
        "exportable": true,
        "shared_with": []
      },
      "embedding_ref": "emb-001",
      "metadata": {
        "language": "en",
        "domain": "personal"
      }
    },
    {
      "id": "mem-002-skill",
      "type": "skill",
      "custom_type": null,
      "status": "active",
      "content": "User manages over 15 Scrapy web scraping projects with approximately 80 services running as systemd processes, collecting data from government portals and e-commerce platforms.",
      "content_hash": "sha256:ee0752a43e7b432002ea04d7ac7f6d515dbf295795e6c2b1879971679436a8f0",
      "summary": "Scrapy expert with 15+ production projects",
      "tags": [
        "scrapy",
        "web-scraping",
        "python",
        "systemd",
        "production"
      ],
      "confidence": {
        "initial": 0.95,
        "current": 0.95,
        "decay_model": "time_linear",
        "last_reinforced": "2026-02-10T15:00:00Z"
      },
      "temporal": {
        "created_at": "2024-08-01T10:00:00Z",
        "updated_at": "2026-02-10T15:00:00Z",
        "valid_from": "2023-01-01T00:00:00Z",
        "valid_until": null,
        "superseded_by": null
      },
      "provenance": {
        "platform": "chatgpt",
        "platform_user_id": null,
        "conversation_ref": "conv-002",
        "message_ref": "msg-042",
        "extraction_method": "llm_inference",
        "extracted_at": "2024-08-01T12:00:00Z",
        "extractor": "pam-converter/1.0.0"
      },
      "access": {
        "visibility": "shared",
        "exportable": true,
        "shared_with": [
          {
            "entity": "agent-work-assistant",
            "permissions": [
              "read"
            ]
          }
        ]
      },
      "embedding_ref": "emb-002",
      "metadata": {
        "language": "en",
        "domain": "technical"
      }
    },
    {
      "id": "mem-003-project",
      "type": "project",
      "custom_type": null,
      "status": "active",
      "content": "User is actively developing a personal AI assistant system with sophisticated memory capabilities and distributed architecture, including chat integration and tool server management.",
      "content_hash": "sha256:f58bf2771ccf5f2770e0bbbc5632a6d4ede7051ba54e6f599f59dafbafd62bf3",
      "summary": "Building personal AI assistant system",
      "tags": [
        "ai-assistant",
        "memory",
        "distributed",
        "chat-integration"
      ],
      "confidence": {
        "initial": 1.0,
        "current": 1.0,
        "decay_model": "none",
        "last_reinforced": "2026-02-15T22:00:00Z"
      },
      "temporal": {
        "created_at": "2025-06-01T10:00:00Z",
        "updated_at": "2026-02-15T22:00:00Z",
        "valid_from": "2025-06-01T10:00:00Z",
        "valid_until": null,
        "superseded_by": null
      },
      "provenance": {
        "platform": "claude",
        "platform_user_id": null,
        "conversation_ref": "conv-003",
        "message_ref": null,
        "extraction_method": "llm_inference",
        "extracted_at": "2025-06-15T14:00:00Z",
        "extractor": "pam-converter/1.0.0"
      },
      "access": {
        "visibility": "private",
        "exportable": true,
        "shared_with": []
      },
      "embedding_ref": "emb-003",
      "metadata": {
        "language": "en",
        "domain": "technical"
      }
    },
    {
      "id": "mem-004-preference",
      "type": "preference",
      "custom_type": null,
      "status": "active",
      "content": "User values systematic approaches to problem-solving and prefers comprehensive technical documentation over simplified explanations.",
      "content_hash": "sha256:191046caf76449b18bd0323524537d737f9c6042d71bbbe5ba46e4d8663c266a",
      "summary": "Prefers comprehensive technical docs",
      "tags": [
        "preference",
        "documentation",
        "systematic"
      ],
      "confidence": {
        "initial": 0.9,
        "current": 0.88,
        "decay_model": "time_linear",
        "last_reinforced": "2026-01-20T10:00:00Z"
      },
      "temporal": {
        "created_at": "2024-09-15T10:00:00Z",
        "updated_at": "2026-01-20T10:00:00Z",
        "valid_from": "2024-09-15T10:00:00Z",
        "valid_until": null,
        "superseded_by": null
      },
      "provenance": {
        "platform": "chatgpt",
        "platform_user_id": null,
        "conversation_ref": null,
        "message_ref": null,
        "extraction_method": "llm_inference",
        "extracted_at": "2024-09-15T12:00:00Z",
        "extractor": "pam-converter/1.0.0"
      },
      "access": {
        "visibility": "private",
        "exportable": true,
        "shared_with": []
      },
      "embedding_ref": "emb-004",
      "metadata": {
        "language": "en",
        "domain": "personal"
      }
    },
    {
      "id": "mem-005-environment",
      "type": "environment",
      "custom_type": null,
      "status": "active",
      "content": "User works at a company that operates datacenter infrastructure and provides managed services, handling BGP routing, VLAN configuration, and multi-tenant datacenter operations.",
      "content_hash": "sha256:94c91fc81c864fec6b0af8aafcfd252e4787b622585ee8be143d17ea5129bc04",
      "summary": "Works at datacenter infrastructure company",
      "tags": [
        "datacenter",
        "bgp",
        "vlan",
        "networking",
        "managed-services"
      ],
      "confidence": {
        "initial": 1.0,
        "current": 1.0,
        "decay_model": "none",
        "last_reinforced": "2026-02-15T20:00:00Z"
      },
      "temporal": {
        "created_at": "2024-07-01T10:00:00Z",
        "updated_at": "2026-02-15T20:00:00Z",
        "valid_from": "2023-01-01T00:00:00Z",
        "valid_until": null,
        "superseded_by": null
      },
      "provenance": {
        "platform": "claude",
        "platform_user_id": null,
        "conversation_ref": "conv-001",
        "message_ref": null,
        "extraction_method": "llm_inference",
        "extracted_at": "2024-07-01T14:00:00Z",
        "extractor": "pam-converter/1.0.0"
      },
      "access": {
        "visibility": "shared",
        "exportable": true,
        "shared_with": [
          {
            "entity": "agent-work-assistant",
            "permissions": [
              "read"
            ]
          }
        ]
      },
      "embedding_ref": "emb-005",
      "metadata": {
        "language": "en",
        "domain": "professional"
      }
    }
  ],
  "relations": [
    {
      "id": "rel-001",
      "from": "mem-002-skill",
      "to": "mem-005-environment",
      "type": "related_to",
      "confidence": 0.95,
      "created_at": "2024-08-01T12:00:00Z"
    },
    {
      "id": "rel-002",
      "from": "mem-003-project",
      "to": "mem-002-skill",
      "type": "extends",
      "confidence": 0.85,
      "created_at": "2025-06-15T14:00:00Z"
    },
    {
      "id": "rel-003",
      "from": "mem-004-preference",
      "to": "mem-001-identity",
      "type": "supports",
      "confidence": 0.8,
      "created_at": "2024-09-15T12:00:00Z"
    }
  ],
  "conversations_index": [
    {
      "id": "conv-001",
      "platform": "claude",
      "title": "Initial setup and infrastructure discussion",
      "message_count": 2,
      "temporal": {
        "created_at": "2024-06-01T10:00:00Z",
        "updated_at": "2024-06-01T16:00:00Z"
      },
      "tags": [
        "infrastructure",
        "networking",
        "datacenter"
      ],
      "derived_memories": [
        "mem-001-identity",
        "mem-005-environment"
      ],
      "storage": {
        "type": "file",
        "ref": "conversations/conv-001.json",
        "format": "json"
      }
    },
    {
      "id": "conv-002",
      "platform": "chatgpt",
      "title": "Scrapy architecture and scaling discussion",
      "message_count": 45,
      "temporal": {
        "created_at": "2024-08-01T10:00:00Z",
        "updated_at": "2024-08-01T14:00:00Z"
      },
      "tags": [
        "scrapy",
        "web-scraping",
        "scaling"
      ],
      "derived_memories": [
        "mem-002-skill"
      ],
      "storage": {
        "type": "file",
        "ref": "conversations/conv-002.json",
        "format": "json"
      }
    },
    {
      "id": "conv-003",
      "platform": "claude",
      "title": "AI assistant architecture and memory system design",
      "message_count": 120,
      "temporal": {
        "created_at": "2025-06-01T10:00:00Z",
        "updated_at": "2025-06-15T18:00:00Z"
      },
      "tags": [
        "ai-assistant",
        "memory-architecture",
        "distributed-systems"
      ],
      "derived_memories": [
        "mem-003-project"
      ],
      "storage": {
        "type": "file",
        "ref": "conversations/conv-003.json",
        "format": "json"
      }
    }
  ],
  "integrity": {
    "canonicalization": "RFC8785",
    "checksum": "sha256:5aabd44a251cdbb47c49a43e9723fa9154ea4ca0672e7841ada92e275b0afd94",
    "total_memories": 5
  },
  "export_type": "full",
  "type_registry": "https://portable-ai-memory.org/types/",
  "signature": {
    "algorithm": "Ed25519",
    "public_key": "z6MkhaXgBZDvotDkL5257faiztiGiC2QtKLGpbnnEGta2doK",
    "value": "eyJhbGciOiJFZERTQSJ9_EXAMPLE_SIGNATURE_Rk9SIERFTU9OU1RSQVRJT04gT05MWQ",
    "signed_at": "2026-02-15T22:00:01Z",
    "key_id": "did:key:z6MkhaXgBZDvotDkL5257faiztiGiC2QtKLGpbnnEGta2doK#z6MkhaXgBZDvotDkL5257faiztiGiC2QtKLGpbnnEGta2doK"
  }
}

Key Sections

Section titled “Key Sections”

Owner

Section titled “Owner”

The owner block identifies the user with a unique UUID and an optional W3C Decentralized Identifier (DID). The did:key scheme encodes the Ed25519 public key directly in the identifier, enabling self-sovereign identity without a registry.

Memories

Section titled “Memories”

Five memories demonstrating different types:

  • mem-001-identity — identity type: multilingual tech professional, sourced from Claude, decay_model: "none" ( identity facts do not decay)
  • mem-002-skill — skill type: Scrapy web scraping expertise, sourced from ChatGPT at a specific message ( msg-042), decay_model: "time_linear" and visibility: "shared" with a work assistant agent
  • mem-003-project — project type: AI assistant system development, sourced from Claude, confidence 1.0 with no decay
  • mem-004-preference — preference type: prefers comprehensive technical docs, sourced from ChatGPT, confidence has decayed from 0.9 to 0.88 over time
  • mem-005-environment — environment type: datacenter infrastructure work, sourced from Claude, visibility: "shared" with the same work assistant agent

Each memory includes full provenance tracking (platform, conversation_ref, extraction_method, extractor), confidence scoring with decay models, temporal lifecycle fields, and access control.

Relations

Section titled “Relations”

Three semantic relationships forming a knowledge graph:

  • mem-002-skill → mem-005-environment (related_to, confidence: 0.95) — the Scrapy skill is contextually linked to the datacenter environment
  • mem-003-project → mem-002-skill (extends, confidence: 0.85) — the AI assistant project builds on Scrapy expertise
  • mem-004-preference → mem-001-identity (supports, confidence: 0.8) — the documentation preference reinforces the identity profile

Conversations Index

Section titled “Conversations Index”

References to three companion conversation files with derived memory tracking. Each entry records which memories were extracted from that conversation (derived_memories), plus storage location, platform, and message count. conv-001 corresponds to the Conversation Example.

Integrity

Section titled “Integrity”

RFC 8785 (JCS) canonicalized checksum over all 5 memories for tamper detection. Memories are sorted by id before canonicalization. The total_memories field provides a quick count check independent of the checksum.

Signature

Section titled “Signature”

Ed25519 cryptographic signature for authenticity verification. The signature covers a payload of {checksum, export_id, export_date, owner_id} canonicalized with RFC 8785 — not just the checksum — to prevent replay attacks. The value here is a placeholder for demonstration purposes only.