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glama

Enhanced Memory MCP Server

A high-performance memory management system for AI agents with 200+ tools including 4-tier memory architecture, advanced RAG pipeline, and Git-like versioning.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 4 credentials: OLLAMA_API_KEY, ANTHROPIC_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAGENTIC_SYSTEM_PATH~/agentic-system Root path for agentic system
configCAPABILITY_NODE_MAP_JSON
🔐 secretOLLAMA_API_KEY
configHOSTNAME_NODE_MAP_JSON
configCLUSTER_NODE_IDS
🔐 secretANTHROPIC_API_KEYFor contextual prefix generation
🔐 secretOPENAI_API_KEYFor query expansion (optional)
configOLLAMA_HOSTlocalhost:11434 Ollama server for LLM operations
configQDRANT_HOSTlocalhost Qdrant vector database host
configQDRANT_PORT6333 Qdrant vector database port
🔐 secretGOOGLE_API_KEY
configSTORAGE_BASE
configSAFLA_REMOTE_URL
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/marc-shade-enhanced-memory-mcp-rk73b5)](https://m8ven.ai/mcp/marc-shade-enhanced-memory-mcp-rk73b5)
commit: 66c87bc899f85d64d88290c088df1e55ef824ba6
code hash: cde756284e10ba92f44df7b4931fa2d23fc9ab35bbaa3d04c4d610b212914b51
verified: 6/21/2026, 10:17:31 AM
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