iiRecord
Agentic AI Atlas · Supermemory
agent:supermemorya5c.ai
II.
AgentProduct JSON

agent:supermemory

Structured · live

Supermemory json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · agent-stack/supermemory/supermemory-overview.yamlCluster · agent-stack
Record JSON
{
  "id": "agent:supermemory",
  "_kind": "AgentProduct",
  "_file": "agent-stack/supermemory/supermemory-overview.yaml",
  "_cluster": "agent-stack",
  "attributes": {
    "displayName": "Supermemory",
    "vendor": "Supermemory Inc.",
    "homepageUrl": "https://supermemory.ai",
    "primarySurface": "api",
    "supportTier": "catalog-backed",
    "productKind": "memory-service",
    "stackScope": "memory-and-retrieval",
    "description": "Cloud memory engine and context layer for AI agents. Ranks #1 on\nLongMemEval, LoCoMo, and ConvoMem benchmarks. Provides automatic memory\nextraction from conversations, knowledge graph with Update/Extend/Derive\nrelationships, user profile synthesis, hybrid search (RAG + memory),\nconnectors for Google Drive/Gmail/Notion/OneDrive/GitHub, multi-modal\nprocessing (PDF, images, video, code), and SMFS filesystem interface.\nTypeScript + Python SDKs, MCP server, and REST API.\n",
    "deepResearchNotes": {
      "architectureStyle": "cloud-memory-service-with-filesystem-interface",
      "language": "TypeScript 64%, MDX 28.9%, Python 6.2%",
      "license": "MIT",
      "layerCoverage": {
        "L5-agent-runtime": "SMFS mount provides transparent memory via filesystem",
        "L12-knowledge-fabric": "Knowledge graph, user profiles, semantic search, contradiction resolution",
        "L13-orchestration": "Connectors for real-time sync with external services"
      },
      "benchmarks": {
        "LongMemEval": "#1",
        "LoCoMo": "#1",
        "ConvoMem": "#1",
        "xAFS": "81% accuracy at 10k files, 55% cheaper than baseline"
      },
      "keyComponents": [
        "Memory Engine (fact extraction, contradiction resolution, temporal decay)",
        "User Profiles (static + dynamic, ~50ms retrieval)",
        "Hybrid Search (RAG + memory in single queries)",
        "SMFS (Semantic Memory File System -- NFS/FUSE mount)",
        "MCP Server 4.0 (Cloudflare Workers + Durable Objects)",
        "Connectors (7 integrations with real-time webhooks)",
        "MemoryBench (open-source benchmarking framework)"
      ],
      "ourEquivalent": "packages/genty/runtime/src/session/memoryExtraction.ts provides\nLLM-extracted MemoryEntry objects with category/confidence/tags.\npackages/genty/platform/src/session/memoryConsolidation.ts handles\nJaccard-similarity deduplication. packages/genty/platform/src/session/\ncrossRunState.ts provides key-value cross-run state. Supermemory adds\nsemantic search, knowledge graph relationships, user profile synthesis,\nand multi-modal extraction that we currently lack. SMFS is the primary\nintegration path -- transparent memory via filesystem operations.\n"
    }
  },
  "outgoingEdges": [
    {
      "from": "agent:supermemory",
      "to": "agent-version:supermemory@current",
      "kind": "has_version"
    },
    {
      "from": "agent:supermemory",
      "to": "knowledge-fabric-impl:mem0-fabric",
      "kind": "competes_with",
      "attributes": {}
    },
    {
      "from": "agent:supermemory",
      "to": "knowledge-fabric-impl:zep-fabric",
      "kind": "competes_with",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "knowledge-fabric-impl:supermemory.api",
      "to": "agent:supermemory",
      "kind": "part_of",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:supermemory.smfs",
      "to": "agent:supermemory",
      "kind": "part_of",
      "attributes": {}
    }
  ]
}