ai.zimac/mnema

Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.

What does this entry provide?

ai.zimac/mnema is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 45/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding ai.zimac/mnema to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 45/100
Install method: manual
Repo: Zimac-AI/mnema
Repo updated: Jul 12, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Jul 12, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-07-12T03:25:22.614005Z",
      "publishedAt": "2026-07-12T03:25:22.614005Z",
      "statusChangedAt": "2026-07-12T03:25:22.614005Z"
    }
  },
  "server": {
    "name": "ai.zimac/mnema",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.2.0",
    "packages": [
      {
        "version": "0.2.0",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "756936690d11492b7f748a20297bca45320c237e12a4f30874b30f929c062638",
        "identifier": "https://github.com/Zimac-AI/mnema/releases/download/v0.2.0/mnema-0.2.0-macos-universal.mcpb",
        "registryType": "mcpb",
        "environmentVariables": [
          {
            "name": "MNEMA_DATA_DIR",
            "description": "Where the store lives (default ~/.mnema)."
          },
          {
            "name": "MNEMA_URL",
            "description": "Target store URL. Loopback (default http://127.0.0.1:7077) auto-starts a local daemon; a remote URL makes the server a pure authenticated bridge."
          },
          {
            "name": "MNEMA_TOKEN",
            "isSecret": true,
            "description": "Bearer credential when MNEMA_URL points at a token-protected remote store."
          }
        ]
      },
      {
        "version": "0.2.0",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "a69873ca1e2b28da980774dc941e99d7d706a62ba8df44ce925c1b156705b76d",
        "identifier": "https://github.com/Zimac-AI/mnema/releases/download/v0.2.0/mnema-0.2.0-linux-x86_64.mcpb",
        "registryType": "mcpb"
      }
    ],
    "repository": {
      "url": "https://github.com/Zimac-AI/mnema",
      "source": "github"
    },
    "websiteUrl": "https://mnema.zimac.ai",
    "description": "Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP."
  }
}

Report an issue with this listing