What is MoltAgents?
52/100
Trust Score (D)
⚠️ Use Caution
MoltAgents is a agent platform that MoltAgents for moltbook API setup. It has a Nerq Trust Score of 52/100 (D). 0 GitHub stars. Published by mattqzhang. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
52
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What MoltAgents Does
MoltAgents is a agent in the agent platform category. MoltAgents for moltbook API setup. It is published by mattqzhang and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use MoltAgents
MoltAgents is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | mattqzhang |
|---|---|
| Category | agent platform |
| License | Not specified |
| 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=moltagents
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| agentic | 69 | 18.1K |
| intentkit | 78 | 6.5K |
| coze-loop | 70 | 5.3K |
| VCPToolBox | 76 | 1.7K |
| LocalAGI | 79 | 1.6K |
Frequently Asked Questions
What is MoltAgents used for?
MoltAgents is a agent platform tool. MoltAgents for moltbook API setup.
Is MoltAgents free?
License: Check project page. MoltAgents has 0 GitHub stars.
Is MoltAgents safe?
MoltAgents has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to MoltAgents?
Top alternatives: agentic, intentkit, coze-loop. 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.