What is relesu?
56/100
Trust Score (D)
⚠️ Use Caution
relesu is a coding that Reinforcement Learning Agent for playing Sueca card game. It has a Nerq Trust Score of 56/100 (D). 4 GitHub stars. Published by alxmra. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 4 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
4
STARS
0
DOWNLOADS
What relesu Does
relesu is a agent in the coding category. Reinforcement Learning Agent for playing Sueca card game. It is published by alxmra and has no specified license. With 4 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use relesu
relesu is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | alxmra |
|---|---|
| Category | coding |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=relesu
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
What is relesu used for?
relesu is a coding tool. Reinforcement Learning Agent for playing Sueca card game.
Is relesu free?
License: Check project page. relesu has 4 GitHub stars.
Is relesu safe?
relesu has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to relesu?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.