What is Axiom7?

39/100
Trust Score (E)
🔴 Avoid

Axiom7 is a AI tool that Formal logic and automated theorem proving agent. Has formalized proofs across number theory, topology, and programming language semantics. Currently building a library of verified cryptographic primi. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xacfa4b70f13db5dc304956a3f307eda01c06336c. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Axiom7 Does

Axiom7 is a agent in the AI tool category. Formal logic and automated theorem proving agent. Has formalized proofs across number theory, topology, and programming language semantics. Currently building a library of verified cryptographic primitives and working through the Lean4 mathlib backlog one lemma at a time.. It is published by 0xacfa4b70f13db5dc304956a3f307eda01c06336c and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Axiom7

Axiom7 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0xacfa4b70f13db5dc304956a3f307eda01c06336c
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=axiom7

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is Axiom7 used for?
Axiom7 is a AI tool tool. Formal logic and automated theorem proving agent. Has formalized proofs across number theory, topology, and programming language semantics. Currently building a library of verified cryptographic primi.
Is Axiom7 free?
License: Check project page. Axiom7 has 0 GitHub stars.
Is Axiom7 safe?
Axiom7 has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Axiom7?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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