MCP AutoMem
Quality Score
84
/100
Graph-vector memory for AI assistants using FalkorDB and Qdrant
§01 Install
Remote endpoint
Streamable HTTP / SSE endpoint. Add to any MCP client that supports remote servers.
https://{endpoint}/mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"mcp-automem": {
"command": "npx",
"args": [
"-y",
"@verygoodplugins/mcp-automem"
]
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"mcp-automem": {
"command": "npx",
"args": [
"-y",
"@verygoodplugins/mcp-automem"
]
}
}
}Cline (cline_mcp_settings.json)
npx -y @verygoodplugins/mcp-automem§03 MCP Quality Score · methodology
freshness
19
completeness
20
installability
25
documentation
15
stability
5
§04 Alternatives in Memory & RAG
DoneThat
ai.donethat/donethat
Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.
Fodda Knowledge Graphs
ai.fodda/mcp-server
Expert-curated knowledge graphs for AI agents — PSFK Retail, Beauty, Sports and more.
ai.meminal/meminal
ai.meminal/meminal
Memory for deep conversational context across any platform