engRAM

Item: engRAM
Rating: 54
Author: M8ven

engRAM provides encrypted, offline, RAM-resident memory for AI agents via MCP, enabling fast hybrid search, deterministic importance-based recall, and secure vault management with tools like memory_search, memory_store, and memory_forget.

→ MaxFreedomPollard/engRAM · 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.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configENGRAM_VAULT

configHERMES_HOME

configOPENCLAW_HOME

configENGRAM_MODEL_DIR

configENGRAM_ASSERT_OFFLINE

configENGRAM_SESSION_DIR

configENGRAM_PASSPHRASE

configENGRAM_SESSION

// 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/maxfreedompollard-engram-1iqsfq)](https://m8ven.ai/mcp/maxfreedompollard-engram-1iqsfq)

commit: 776a57a4092dd082ed6f432602fd25c94b15d84f

code hash: b8418f82873401be5c1281d76ee9c4f38bab050ff143294842db060176feca2a

verified: 7/21/2026, 8:43:30 AM

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