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Evidence row 25529

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.AiDimag/aidimag
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
b850eba42ed169e5965ae648609e266459d5e1b6736deec7b3dcef8083e01d12
Leaf
0xccc0119dcc599641b8ec88855e41cd694a9571801c3fd4f2f200adba4aa951d9

What was observed

{
  "endpoints": [
    [
      "web",
      "https://aidimag.com/"
    ]
  ],
  "name": "io.github.AiDimag/aidimag",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-08-11T23:53:54.77148Z",
        "status": "active",
        "statusChangedAt": "2026-08-11T23:53:54.77148Z",
        "updatedAt": "2026-08-11T23:53:54.77148Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.",
      "name": "io.github.AiDimag/aidimag",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Absolute path to the git repository whose memory store to serve. Optional: defaults to walking up from the current working directory.",
              "format": "string",
              "name": "AIDIMAG_REPO"
            },
            {
              "description": "LLM provider for extraction features (chat_harvest, knowledge ingestion): openai | ollama | off. Optional: auto-detected.",
              "format": "string",
              "name": "AIDIMAG_LLM"
            },
            {
              "description": "OpenAI API key, used only if the OpenAI provider is selected/detected for extraction features.",
              "format": "string",
              "isSecret": true,
              "name": "OPENAI_API_KEY"
            }
          ],
          "identifier": "aidimag",
          "packageArguments": [
            {
              "description": "Start the aidimag MCP server over stdio",
              "type": "positional",
              "value": "mcp"
            }
          ],
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "runtimeHint": "npx",
          "transport": {
            "type": "stdio"
          },
          "version": "1.0.22"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/AiDimag/aidimag"
      },
      "version": "1.0.22",
      "websiteUrl": "https://aidimag.com"
    }
  },
  "source": "mcp_registry",
  "summary": "Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue."
}

What the leaf hashes

{"body":"b850eba42ed169e5965ae648609e266459d5e1b6736deec7b3dcef8083e01d12","id":25529,"kind":"listing","method":"baseline/1","observed_us":1793025354687610,"prev":null,"subject":"mcp_registry:io.github.AiDimag/aidimag","subject_kind":"source_record"}

Proof

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

  1. 0xccbf9871a851a36efe2991d6b51e732fbe9c05b0d665bce9d1846e3d8909d589
  2. 0xeb91e53241badfbe68fc57b14400305b68b0727f0e69f96164834a8677cfd711
  3. 0xf6aca5b5ecc2d76e683751f90fec383885a9d1c518270832d6aabf8a341e41d2
  4. 0x35f980a7a47fd4e1ab4ee944f5db23e66ea116b3a7b4181a8aedc3e54c3f9d4c
  5. 0xfcdc4e6b9f2db7f4bc998111080edf57afb1afaa2239a27c3c1899be7310bb5e
  6. 0x5e0726851b5a82525f19222626e912506eb81a4382ab94a91d4afaf651d7a031
  7. 0xd4d0361bda6cc7ae56381a45147b03aa7aeafe019180daba0b459c1664c3a7b3
  8. 0xeaf48ee79c320d06aec52b50a84ae3790983f8ba1e8503eaaa335bbe8f2839a1
  9. 0xa7e1a958c75c2132f2dfb5bb8d77a956e893b026f4ef740e1228d64d9c61b866
  10. 0x28f5e3a424e6df882445451ebbb98ea4799c643ef3231cda98518a826f880a47
  11. 0x1233e806ac6f264fea872a85785df4b3024b89e9788bb6dfa89e28944cb30400
  12. 0x85ea84dc356483b05e7ec8ed6e303988684070a1512dc756c8e64a7e3604feaf
  13. 0x985acd37cc044d5aa6ad959194da8e91c81045df83517891ed92f1763a9ab825
  14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON