io.github.n24q02m/mnemo-mcp
Quality Score
85
/100
Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.
§01 Install
Claude Desktop (uvx)
{
"mcpServers": {
"mnemo-mcp": {
"command": "uvx",
"args": [
"mnemo-mcp"
],
"env": {
"API_KEYS": "<your-api_keys>"
}
}
}
}Claude Desktop (Docker)
{
"mcpServers": {
"mnemo-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"docker.io/n24q02m/mnemo-mcp:latest"
],
"env": {
"API_KEYS": "<your-api_keys>"
}
}
}
}§02 Environment variables
API_KEYSsecret
API keys for cloud embedding (format: ENV_VAR:key). Without this, uses built-in local Qwen3 model.
API_KEYSsecret
API keys for cloud embedding (format: ENV_VAR:key). Without this, uses built-in local Qwen3 model.
§03 MCP Quality Score · methodology
freshness
25
completeness
10
installability
25
documentation
15
stability
10
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