71
grade C
11 days ago
glama

engram-rs

Persistent memory for AI agents — organized by time and space. Important memories get promoted, noise decays naturally, and related knowledge clusters into a browsable topic tree. Fully automatic.

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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_NAMESPACE
configENGRAM_URL
// 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/kael-bit-engram-rs-rppzb3)](https://m8ven.ai/mcp/kael-bit-engram-rs-rppzb3)
commit: a9134e07a09a70808961a04450605a6098693589
code hash: 87a7b7df6fe21e333d8d175ec2ac60d8f232c65b51f3fd1b8ec858e07c88185a
verified: 4/11/2026, 2:57:00 PM
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