Memory-MCP

Item: Memory-MCP
Rating: 69
Author: M8ven

Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.

→ wb200/memory-mcp · listed on glama

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// key findings

✅

8 tools verified — handlers match their declared behaviour

5 read-only tools verified — handlers contain no write/delete/exec

✅

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 2 credentials: GOOGLE_API_KEY, GEMINI_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.

configEMBEDDING_DIM— "": "1024",

configLANCEDB_MEMORY_PATH— "": "/home/youruser/.memory-mcp/lancedb-memory"

configEMBEDDING_MODEL— "": "qwen3-embedding:0.6b",

configEMBEDDING_PROVIDER— "": "ollama",

configOLLAMA_BASE_URL— "": "http://localhost:11434",

🔐 secretGOOGLE_API_KEY— "": "your-api-key"

🔐 secretGEMINI_API_KEY

// 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 4 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/wb200-memory-mcp-1uokm0)](https://m8ven.ai/mcp/wb200-memory-mcp-1uokm0)

commit: f8ce2d46dc7273286e9be574a58ec8f88faf53cc

code hash: 1f37ee21afe60936c4ba61db26bfeec26b8803f076be9c0952aac164b9c6df0d

verified: 6/18/2026, 11:15:05 AM

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