Turbo Quant Memory for Gemini CLI
io.github.lexus2016/turbo-quant-memory
Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Turbo Quant Memory in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"turbo-quant-memory": {
"command": "uvx",
"args": [
"turbo-quant-memory"
],
"env": {
"TQMEMORY_FTS_LANGUAGE": "<TQMEMORY_FTS_LANGUAGE>",
"TQMEMORY_EMBEDDING_BACKEND": "<TQMEMORY_EMBEDDING_BACKEND>",
"TQMEMORY_MIGRATE_ON_STARTUP": "<TQMEMORY_MIGRATE_ON_STARTUP>",
"TQMEMORY_SECRETS_PASSPHRASE": "<TQMEMORY_SECRETS_PASSPHRASE>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs