Mnemo
Verified IntegrationClient Configuration
— Connect Mnemo to Claude Desktop or Cursor in seconds{
"mcpServers": {
"mnemo-1": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mnemo-1"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Extends AI assistant memory by leveraging Gemini's context caching to load and query large codebases, documentation, and PDFs.
7/23/2026
Open Source
stdio / SSE RPC
Frequently Asked Questions
Architecture and operational details for Mnemo
Unlike traditional RAG which relies on complex embeddings and retrieval, Mnemo takes a simpler approach by directly utilizing Gemini's context caching. This eliminates chunking, vector databases, and retrieval logic, ensuring perfect recall, lower latency, and reduced costs.
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