Mirsad for Gemini CLI
io.github.amkkoussay/mersad
Shared memory for AI agents: bi-temporal facts, first-class decisions, owner-resolved conflicts.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Mirsad in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"mersad": {
"command": "uvx",
"args": [
"mirsad-mcp"
],
"env": {
"MIRSAD_TRANSPORT": "<MIRSAD_TRANSPORT>",
"MIRSAD_DB": "<MIRSAD_DB>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs