Loading…
Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.
Local Memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. 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. The install command above is ready to copy. Review the last-pushed date and repository status before adding Local Memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y @studiomeyer/local-memory-mcp@2.4.3Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-08-09T03:33:19.381111Z",
"publishedAt": "2026-08-09T03:33:19.381111Z",
"statusChangedAt": "2026-08-09T03:33:19.381111Z"
}
},
"server": {
"name": "io.github.studiomeyer-io/local-memory-mcp",
"title": "Local Memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "2.4.3",
"packages": [
{
"version": "2.4.3",
"transport": {
"type": "stdio"
},
"identifier": "@studiomeyer/local-memory-mcp",
"registryType": "npm",
"environmentVariables": [
{
"name": "MEMORY_DB_PATH",
"format": "string",
"description": "Custom path for the SQLite database file"
},
{
"name": "MEMORY_EMBED_DISABLED",
"format": "string",
"description": "Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded."
},
{
"name": "MEMORY_EMBED_MODEL",
"format": "string",
"description": "Override the embedding model id (defaults to Xenova/multilingual-e5-small)."
},
{
"name": "MEMORY_EMBED_CACHE_DIR",
"format": "string",
"description": "Override the Transformers.js cache directory (defaults to the OS data dir)."
}
]
}
],
"repository": {
"url": "https://github.com/studiomeyer-io/local-memory-mcp",
"source": "github"
},
"description": "Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys."
}
}