What is ai-algorithm-discovery-agent?

61/100
Trust Score (C)
⚠️ Use Caution

ai-algorithm-discovery-agent is a research that Autonomous AI agent for discovering and optimizing algorithms using reinforcement learning and genetic algorithms. It has a Nerq Trust Score of 61/100 (C). 0 GitHub stars. Published by HIMANSHU895060. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

61
TRUST SCORE
C
GRADE
0
STARS
0
DOWNLOADS

What ai-algorithm-discovery-agent Does

ai-algorithm-discovery-agent is a agent in the research category. Autonomous AI agent for discovering and optimizing algorithms using reinforcement learning and genetic algorithms. It is published by HIMANSHU895060 and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ai-algorithm-discovery-agent

ai-algorithm-discovery-agent is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorHIMANSHU895060
Categoryresearch
LicenseMIT
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=ai-algorithm-discovery-agent

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

Safer Alternatives

ToolTrustStars
gpt_academic6170.1K
LlamaFactory8067.8K
unsloth7752.7K
storm5927.9K
gpt-researcher6425.4K

Frequently Asked Questions

What is ai-algorithm-discovery-agent used for?
ai-algorithm-discovery-agent is a research tool. Autonomous AI agent for discovering and optimizing algorithms using reinforcement learning and genetic algorithms.
Is ai-algorithm-discovery-agent free?
License: MIT. ai-algorithm-discovery-agent has 0 GitHub stars.
Is ai-algorithm-discovery-agent safe?
ai-algorithm-discovery-agent has a Nerq Trust Score of 61/100 (C). Use with caution.
What are alternatives to ai-algorithm-discovery-agent?
Top alternatives: gpt_academic, LlamaFactory, unsloth. See full comparison.

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

We use cookies for analytics and caching. Privacy Policy