io.github.JubaKitiashvili/context-mem
Quality Score
85
/100
Persistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 tools
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"context-mem": {
"command": "npx",
"args": [
"-y",
"context-mem"
]
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"context-mem": {
"command": "npx",
"args": [
"-y",
"context-mem"
]
}
}
}Cline (cline_mcp_settings.json)
npx -y context-mem§03 MCP Quality Score · methodology
freshness
25
completeness
10
installability
25
documentation
15
stability
10
§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