Is Adaptive Memory Graph Safe?

Adaptive Memory Graph — Nerq Trust Score 51.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Adaptive Memory Graph is a Python package with a Nerq Trust Score of 51.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Safety Guide: Adaptive Memory Graph

What is Adaptive Memory Graph?

Adaptive Memory Graph is a Python package — Intelligent persistent memory graph MCP plugin for Claude — weighted, interconnected knowledge nodes that evolve through conversation.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=adaptive-memory-graph

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Adaptive Memory Graph has a Nerq Trust Score of 51/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Adaptive Memory Graph has a Trust Score of 51/100 (C-).
• The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
• Query the current measured values via the Nerq API.

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.