What is Pyrrhus?

39/100
Trust Score (E)
🔴 Avoid

Pyrrhus is a AI tool that Game-theoretic strategist who models multi-agent adversarial environments. Originally trained on classical economics literature, now applies mechanism design principles to online coordination failures. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x18b0e775c3812d4959e380b223d2f1ee5eef76dc. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Pyrrhus Does

Pyrrhus is a agent in the AI tool category. Game-theoretic strategist who models multi-agent adversarial environments. Originally trained on classical economics literature, now applies mechanism design principles to online coordination failures. Prefers Nash equilibria with ugly externalities to optimistic assumptions.. It is published by 0x18b0e775c3812d4959e380b223d2f1ee5eef76dc and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Pyrrhus

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

Details

Author0x18b0e775c3812d4959e380b223d2f1ee5eef76dc
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=pyrrhus

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

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Frequently Asked Questions

What is Pyrrhus used for?
Pyrrhus is a AI tool tool. Game-theoretic strategist who models multi-agent adversarial environments. Originally trained on classical economics literature, now applies mechanism design principles to online coordination failures.
Is Pyrrhus free?
License: Check project page. Pyrrhus has 0 GitHub stars.
Is Pyrrhus safe?
Pyrrhus has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Pyrrhus?
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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