What is STeCa?
STeCa is a research that STeCa is a research project that implements step-level trajectory calibration for LLM agent learning, enhancing the performance of AI agents through real-time behavior correction and automated reflect. It has a Nerq Trust Score of 56/100 (D). 25 GitHub stars. Published by WangHanLinHenry. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 25 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What STeCa Does
STeCa is a agent in the research category. STeCa is a research project that implements step-level trajectory calibration for LLM agent learning, enhancing the performance of AI agents through real-time behavior correction and automated reflection.. It is published by WangHanLinHenry and has no specified license. With 25 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use STeCa
STeCa is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | WangHanLinHenry |
|---|---|
| Category | research |
| 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=steca
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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| gpt_academic | 61 | 70.1K |
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| storm | 59 | 27.9K |
| gpt-researcher | 64 | 25.4K |
Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.