memory arbiter mcp for Gemini CLI
io.github.billy12151/memory-arbiter-mcp
Local SQLite MCP memory: evidence-based recall, advisory conflict notices, authorized governance.
client:Gemini CLI
transport:stdio
runtime:pypi
Install memory arbiter mcp in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"memory-arbiter-mcp": {
"command": "uvx",
"args": [
"memory-arbiter-mcp"
],
"env": {
"MEMORY_ARBITER_CONFIG": "<MEMORY_ARBITER_CONFIG>",
"MEMORY_ARBITER_CLIENT": "<MEMORY_ARBITER_CLIENT>",
"MEMORY_ARBITER_AGENT_ID": "<MEMORY_ARBITER_AGENT_ID>",
"MEMORY_ARBITER_DB_PATH": "<MEMORY_ARBITER_DB_PATH>",
"MEMORY_ARBITER_BACKUP_JSONL": "<MEMORY_ARBITER_BACKUP_JSONL>",
"MEMORY_ARBITER_MCP_TRANSPORT": "<MEMORY_ARBITER_MCP_TRANSPORT>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs