100% In-Process Bare-Metal Hybrid Memory Engine & MCP Server for LLMs (SQLite + Int8 Vectors).
Connect Runs on your machine
claude mcp add sqlite-local-ai-memory -e GEMINI_API_KEY=<GEMINI_API_KEY> -e SQLITE_MEM_PATH=<SQLITE_MEM_PATH> -- npx -y [email protected]{
"mcpServers": {
"sqlite-local-ai-memory": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"SQLITE_MEM_PATH": "<SQLITE_MEM_PATH>"
}
}
}
}{
"mcpServers": {
"sqlite-local-ai-memory": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"SQLITE_MEM_PATH": "<SQLITE_MEM_PATH>"
}
}
}
}{
"servers": {
"sqlite-local-ai-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"SQLITE_MEM_PATH": "<SQLITE_MEM_PATH>"
}
}
}
}Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Environment variables
| Name | Description |
|---|---|
GEMINI_API_KEYOptional, secret | Google Gemini API key for Out-of-the-Box cloud cognitive agents and embeddings (gemini-2.5-flash-lite & gemini-embedding-001). |
SQLITE_MEM_PATHOptional | Optional custom path to the SQLite database file (defaults to ~/.local-ai-memory/memoria.db). |
Details
| Package | [email protected] (NPM, stdio) |
| First published | 23 Oct 2026 |
| Last updated | 23 Oct 2026 |
| Registry name | io.github.cheveguerra/sqlite-local-ai-memory |
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