io.github.kKEo/memors

Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.

What does this entry provide?

io.github.kKEo/memors is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 56/100. 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 io.github.kKEo/memors 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: 56/100
Install method: manual
Repo: kKEo/memors
Repo updated: Oct 18, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 18, 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": "2026-10-18T11:49:09.763771Z",
      "publishedAt": "2026-10-18T11:49:09.763771Z",
      "statusChangedAt": "2026-10-18T11:49:09.763771Z"
    }
  },
  "server": {
    "name": "io.github.kKEo/memors",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
    "version": "1.6.4",
    "packages": [
      {
        "version": "1.6.4",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "af2474483db39b9f056b439718882a398e338fe5f377467bda550b8f0050ca4f",
        "identifier": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
        "registryType": "mcpb",
        "environmentVariables": [
          {
            "name": "MEMORS_KB",
            "format": "string",
            "default": "default",
            "description": "Name of the knowledge base to open; one SQLite file per name under $MEMORS_HOME/kb/."
          },
          {
            "name": "MEMORS_HOME",
            "format": "string",
            "description": "Base directory for knowledge bases and settings (default ~/.memors-mcp)."
          },
          {
            "name": "MEMORS_MODEL",
            "format": "string",
            "description": "Embedding model id from `memors-mcp model ls` (default granite-small-r2)."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/kKEo/memors",
      "source": "github"
    },
    "websiteUrl": "https://github.com/kKEo/memors",
    "description": "Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite."
  }
}

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