Is Adaptive Memory Graph Safe?

Adaptive Memory Graph — Nerq Trust Score 51.2/100 (C- grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-01.

Use Adaptive Memory Graph with some caution. Adaptive Memory Graph is a Python package with a Nerq Trust Score of 51.2/100 (C-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. 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 packages

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

Trust Assessment

Adaptive Memory Graph has a Nerq Trust Score of 51/100 (C-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

• Adaptive Memory Graph has a Trust Score of 51/100 (C-).
• Review carefully before use — below trust threshold.
• Always verify independently using the Nerq API.

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.