MCP Observatory
github re-analysis due

agentic-box/memora

github

Give your AI agents persistent memory.

maintainer
agentic-box
license
MIT
first seen
2026-06-01
last seen
2026-06-04
releases · 30d
1
short id
risk 18/100 · heuristic grade
B low
  • capability exposureinferred+26
  • trust mitigatorsmixed−8

inferredmixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 15m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0 → B · 18
capability exposure grade factor +26
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +0
  1. highdangerous code

    env-secret-flows-to-network-py: An environment value (often a secret/token) flows into a network call — possible credential exfiltration. (/tmp/obs-code-D8oniw/agentic-box-memora-b

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit bc64ff7 · analyzer v17 · 2d ago

skills & prompt files 3

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:agentic-box/memora/badge.svg)](https://mcpobservatory.com/servers/github:agentic-box/memora/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of agentic-box.