What is Denario?
70/100
Trust Score (B)
✅ Safe
Denario is a research that Modular Multi-Agent System for Scientific Research Assistance. It has a Nerq Trust Score of 70/100 (B). 498 GitHub stars. Published by AstroPilot-AI. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 498 stars, 0 downloads — Growing community
- ✅ Transparency: License: GPL-3.0 — Clear licensing
Trust & Safety Overview
70
TRUST SCORE
B
GRADE
498
STARS
0
DOWNLOADS
What Denario Does
Denario is a agent in the research category. Modular Multi-Agent System for Scientific Research Assistance. It is published by AstroPilot-AI and is open source. With 498 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use Denario
Denario is well-suited for production use given its strong trust score and active community.
Details
| Author | AstroPilot-AI |
|---|---|
| Category | research |
| License | GPL-3.0 |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=astropilot-ai-denario
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| gpt_academic | 61 | 70.1K |
| LlamaFactory | 80 | 67.8K |
| unsloth | 77 | 52.7K |
| storm | 59 | 27.9K |
| gpt-researcher | 64 | 25.4K |
Frequently Asked Questions
What is Denario used for?
Denario is a research tool. Modular Multi-Agent System for Scientific Research Assistance.
Is Denario free?
License: GPL-3.0. Denario has 498 GitHub stars.
Is Denario safe?
Denario has a Nerq Trust Score of 70/100 (B). Safe for production use.
What are alternatives to Denario?
Top alternatives: gpt_academic, LlamaFactory, unsloth. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated October 2026. Trust scores based on automated analysis of public data.