Is Abstractmemory Safe?

Abstractmemory — Nerq Trust Score 49.8/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21

Abstractmemory is a Python package with a Nerq Trust Score of 49.8/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).

Safety Guide: Abstractmemory

What is Abstractmemory?

Abstractmemory is a Python package — Production-ready memory system for LLM agents - NO MOCKS, real semantic search, clear LLM vs embedding provider separation.

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=AbstractMemory

Key Safety Concerns for Python package

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

Measured Signals

Abstractmemory has a Nerq Trust Score of 50/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Abstractmemory has a Trust Score of 50/100 (D).
• 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.