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Local persistent memory for AI agents: SQLite + FTS5 (BM25) lexical search, zero external infra.
MCP Memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. 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 MCP Memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm ghcr.io/germaniu/mcp-memory:0.6.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-17T09:45:57.011762Z",
"publishedAt": "2026-10-17T09:45:57.011762Z",
"statusChangedAt": "2026-10-17T09:45:57.011762Z"
}
},
"server": {
"name": "io.github.GermaniU/mcp-memory",
"title": "MCP Memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.6.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/germaniu/mcp-memory:0.6.0",
"runtimeHint": "docker",
"registryType": "oci",
"packageArguments": [
{
"type": "positional",
"value": "--stdio"
}
],
"runtimeArguments": [
{
"name": "--volume",
"type": "named",
"value": "mcp-memory-data:/data",
"description": "Docker volume where the SQLite file persists between sessions."
}
],
"environmentVariables": [
{
"name": "DB_PATH",
"format": "string",
"default": "/data/memory.db",
"description": "Path to the SQLite file inside the container. Keep it under the mounted volume (/data) so memories survive restarts."
}
]
}
],
"repository": {
"url": "https://github.com/GermaniU/mcp-memory",
"source": "github",
"subfolder": "server"
},
"description": "Local persistent memory for AI agents: SQLite + FTS5 (BM25) lexical search, zero external infra."
}
}