Evidence row 54529

What was observed

{
  "endpoints": [
    [
      "web",
      "https://automem.ai/?utm_source=mcp-registry"
    ]
  ],
  "name": "MCP AutoMem",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-01-07T00:11:20.377939Z",
        "status": "active",
        "statusChangedAt": "2026-01-07T00:11:20.377939Z",
        "updatedAt": "2026-01-07T00:11:20.377939Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Graph-vector memory for AI assistants using FalkorDB and Qdrant",
      "name": "io.github.verygoodplugins/mcp-automem",
      "packages": [
        {
          "identifier": "@verygoodplugins/mcp-automem",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "0.10.0"
        }
      ],
      "remotes": [
        {
          "headers": [
            {
              "description": "Bearer token for authentication (optional if using URL-based auth with ?api_token=...)",
              "isSecret": true,
              "name": "Authorization"
            }
          ],
          "type": "streamable-http",
          "url": "https://{endpoint}/mcp",
          "variables": {
            "endpoint": {
              "description": "Your deployed AutoMem MCP server URL (e.g., your-app.railway.app)",
              "isRequired": true
            }
          }
        },
        {
          "headers": [
            {
              "description": "Bearer token for authentication (optional if using URL-based auth with ?api_token=...)",
              "isSecret": true,
              "name": "Authorization"
            }
          ],
          "type": "sse",
          "url": "https://{endpoint}/mcp/sse",
          "variables": {
            "endpoint": {
              "description": "Your deployed AutoMem MCP server URL (e.g., your-app.railway.app)",
              "isRequired": true
            }
          }
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/verygoodplugins/mcp-automem"
      },
      "title": "MCP AutoMem",
      "version": "0.10.0",
      "websiteUrl": "https://automem.ai/?utm_source=mcp-registry"
    }
  },
  "source": "mcp_registry",
  "summary": "Graph-vector memory for AI assistants using FalkorDB and Qdrant"
}

What the leaf hashes

{"body":"873692579c689db6f749ada1888004175a939961988abeb0a1293ec52cbee624","id":54529,"kind":"listing","method":"baseline/1","observed_us":1793025433667187,"prev":null,"subject":"mcp_registry:io.github.verygoodplugins/mcp-automem","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xad987f0d7e854118d2cdabc3ef72da19d4d960371196512dfff5706d406da8e3
2. 0xeb38ce83593aa5121259ff721c36c6777bbf14573e91452c3ec40f68791cd2bf
3. 0x2643e4c54889ff9cce72b5a8836f2cea65c143d2e62a94e523fc31ea217cdef9
4. 0xd7c3d79fd0619565ec36a98d4ebc4469911a9e8a767282688b05b0850229ab6e
5. 0x76b6cf28cbd2a14ff7c63f2552a7299442bd7da529343a969265a3c27fabcc4e
6. 0x8a2ae663e6d6bcdc1a3586c7d204f0fd9a7808eb202c463c65f41e8b5fbcf7d0
7. 0xd2ccbacd42427cb1ab3f5a1abd15b5617bfa512b6589c31f6e98778247de3503
8. 0x2c0e64a63eb6855b75d2640e83e2c70753c390afc359671e2f5c210d8bbf1729
9. 0xcf5b94bb64e3e01451b931dac0a13d7cbc61600a76eae700df5cfdea9ebec255
10. 0xb5688486812d7136b27c2bdbc2ae09bc9ad3ac941f3ea900e81fe9d1958be50e
11. 0x317c51a47b234292d19f812377ad1cc4d05ded07987c4ea1ac9ae1ad2b20f0d2
12. 0x51f06c175a7c946ebe50ef243d6f9370a8fe85c996e53eff19ffcc4585ea8c18
13. 0xe292b5a99219f136bce6647ce74b21240a1c7331d2475b1839220fd363c94217
14. 0x3b4dba7d874fc323b0a364140a9c60f37bf547fe671897653118a9873fe03420
15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae