SlashML (/ml) Persistent Agent Memory & Code Localization for Gemini CLI
io.github.slashml-ai/ml-memory
Persistent conversational memory, behavioral code search, and bug localization for AI agents.
client:Gemini CLI
transport:stdio
runtime:npm
Install SlashML (/ml) Persistent Agent Memory & Code Localization in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"ml-memory": {
"command": "npx",
"args": [
"-y",
"@slashml/mcp"
],
"env": {
"SLASHML_API_KEY": "<SLASHML_API_KEY>",
"SLASHML_USER_ID": "<SLASHML_USER_ID>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs