mcp-super-memory

Enables LLM agents to use associative memory with key/value graph-based retrieval, supporting multi-hop traversal and human-like associative leaps beyond embedding similarity.

→ donggyun112/mcp-super-memory · listed on glama

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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 1 credential: OPENAI_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.

configSUPER_MEMORY_DATA_DIR

🔐 secretOPENAI_API_KEY— "": "your-openai-api-key"

configOPENAI_EMBEDDING_MODEL— text-embedding-3-small

configLOCAL_EMBEDDING_MODEL— paraphrase-multilingual-MiniLM-L12-v2 # optional, this is the default

configEMBEDDING_BACKEND— "": "local"

// 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 5 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/donggyun112-mcp-super-memory-1y68b7)](https://m8ven.ai/mcp/donggyun112-mcp-super-memory-1y68b7)

commit: dcc6555e5797513701e60ab6c6b97a0e5c14829e

code hash: 69bacb4586b3d3819ff57e137c562cc3d3ce5c7451c2da9c13c9a2e89f739fa9

verified: 6/21/2026, 10:35:13 AM

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