45
/ 100
1 month ago
glama

Engram

Headless geometric memory engine for AI agents — no Vector DB, no cloud, no API key. Store and retrieve by meaning using native Vector Symbolic Architecture (NVSA) math over O_DIRECT NVMe mapping. Runs entirely on your machine via MCP.

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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: ENGRAM_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.
🔐 secretENGRAM_API_KEY
configENGRAM_SCOUT_PORT
configENGRAM_SCOUT_LLM_URL
configENGRAM_SCOUT_LLM_MODEL
configENGRAM_SCOUT_MAX_TOKENS
configMODEL_NAME
configENGRAM_MATRIX_WORKSPACE
// 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 1 concrete improvement 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/staticroostermedia-arch-engram-5gei51)](https://m8ven.ai/mcp/staticroostermedia-arch-engram-5gei51)
commit: ac176fa7d5aa25c1fe0c992a7903fd84f8fa5688
code hash: a5e57d5df3889cb576bcb2ea3fb04aa669403e5b6d929be0e751974a091e1d68
verified: 6/17/2026, 11:56:43 AM
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