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Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.
About
Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.
What You'll Need
Set these up before or after installing:
PostgreSQL connection string with pgvector. Example: postgresql://localhost:5432/yourmemory
Environment variable: DATABASE_URL
Ollama server URL for local embeddings (nomic-embed-text) and classification (llama3.2:3b). Default: http://localhost:11434
Environment variable: OLLAMA_URL
Ollama model used for fact/assumption classification. Default: llama3.2:3b
Environment variable: EXTRACT_MODEL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sachitrafa-cognitive-ai-memory": {
"env": {
"OLLAMA_URL": "your-ollama-url-here",
"DATABASE_URL": "your-database-url-here",
"EXTRACT_MODEL": "your-extract-model-here"
},
"args": [
"cognitive-ai-memory"
],
"command": "uvx"
}
}
}Security Report
3.8
Use Caution3.8High RiskThe MCP server implements proper authentication via API keys and follows good security practices for database operations and embeddings. However, it has several concerning vulnerabilities including hardcoded default credentials, shell execution potential via path injection, and broad system permissions that exceed what's strictly necessary for its functionality. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 2 high severity).
7 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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