Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-memory-sam": {
"env": {
"LOG_LEVEL": "INFO",
"CURSOR_MODE": "true",
"ENVIRONMENT": "development",
"MONGODB_URI": "mongodb://localhost:27017",
"SERVER_MODE": "universal",
"ML_MODEL_TYPE": "huggingface",
"EMBEDDING_MODEL": "all-MiniLM-L6-v2",
"ML_TRIGGER_MODE": "hybrid",
"MEMORY_THRESHOLD": "0.7",
"MONGODB_DATABASE": "mcp_memory_dev",
"PRELOAD_ML_MODEL": "true",
"TRIGGER_THRESHOLD": "0.15",
"EMBEDDING_PROVIDER": "sentence_transformers",
"SEMANTIC_THRESHOLD": "0.8",
"ML_RETRAIN_INTERVAL": "50",
"ML_TRAINING_ENABLED": "true",
"AUTO_TRIGGER_ENABLED": "true",
"SIMILARITY_THRESHOLD": "0.3",
"BEHAVIOR_HISTORY_LIMIT": "1000",
"HUGGINGFACE_MODEL_NAME": "PiGrieco/mcp-memory-auto-trigger-model",
"USER_BEHAVIOR_TRACKING": "true",
"ML_CONFIDENCE_THRESHOLD": "0.7",
"MAX_CONVERSATION_HISTORY": "10",
"FEATURE_EXTRACTION_TIMEOUT": "5.0"
},
"args": [
"/path/to/mcp-memory-server/main.py"
],
"command": "/path/to/mcp-memory-server/venv/bin/python"
}
}
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Intelligent AI Memory Management with ML Auto-Triggers
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Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
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Intelligent AI Memory Management with ML Auto-Triggers
SAM (Smart Access Memory) is an intelligent memory system for AI platforms that automatically knows when to save and retrieve information. Using machine learning model created for it with 99.56% accuracy, SAM analyzes conversations in real-time and intelligently manages memory without user intervention.
graph TB
subgraph "AI Platforms"
A[Cursor IDE] --> MCP[MCP Protocol]
B[Claude Desktop] --> MCP
C[GPT/OpenAI] --> MCP
D[Windsurf IDE] --> MCP
E[Lovable] --> MCP
F[Replit] --> MCP
end
subgraph "MCP Memory Server"
MCP --> G[Auto-Trigger System]
G --> H[ML Model 99.56%]
G --> I[Deterministic Rules]
G --> J[Hybrid Engine]
J --> K[Memory Service]
K --> L[Semantic Search]
K --> M[Embedding Service]
K --> N[Database Service]
end
subgraph "Storage"
N --> O[MongoDB Atlas]
M --> P[Vector Embeddings]
L --> Q[Similarity Search]
end
style H fill:#ff9999
style J fill
... [View full README on GitHub](https://github.com/PiGrieco/mcp-memory-server#readme)