io.github.rishimeka/genesys-memory
Quality Score
80
/100
Causal graph memory engine for AI agents with scoring, activation, and forgetting
§01 Install
Claude Desktop (uvx)
{
"mcpServers": {
"genesys-memory": {
"command": "uvx",
"args": [
"genesys-memory"
],
"env": {
"OPENAI_API_KEY": "<your-openai_api_key>",
"ANTHROPIC_API_KEY": "<your-anthropic_api_key>",
"GENESYS_EMBEDDER": "<genesys_embedder>"
}
}
}
}§02 Environment variables
OPENAI_API_KEYsecret
OpenAI API key for embedding generation (optional — use GENESYS_EMBEDDER=local for no API key)
ANTHROPIC_API_KEYsecret
Anthropic API key for LLM-based memory processing (optional)
GENESYS_EMBEDDEREmbedding provider: 'openai' or 'local' (default: openai)
§03 MCP Quality Score · methodology
freshness
25
completeness
10
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