74
grade C
2 days ago
pulsemcp

Local Memory

Local memory storage and retrieval using Ollama vector embeddings for persistent AI agent memory.

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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.
🔐
You'll be asked for 1 credential: WORKSPACE_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(default 768, must match your embedding model)
configMEMORY_DB_PATH(default ./data/memory.zvec)
configOLLAMA_BASE_URL(default http://localhost:11434)
configOLLAMA_EMBED_MODEL(default embeddinggemma)
🔐 secretWORKSPACE_KEYScope memory per project using while keeping one shared local database.
// 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/basst85-local-memory-mcp-jbxny4)](https://m8ven.ai/mcp/basst85-local-memory-mcp-jbxny4)
commit: 6acb8cb0267b63f0a0465219fb7e5ecea317c8da
code hash: 3690416798dcf18a71c4972e39eb964867091915dd19f3a3f18b4f6387d350d9
verified: 4/18/2026, 3:45:46 PM
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