September 10, 2025Future InternetOpen Access

The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges

View Full Paper

Ask AI

Bookmark

Agentic AI systems enhance autonomy and adaptability in artificial intelligence applications, boosting their overall effectiveness.
The review encompasses 143 studies on both LLM-based and non-LLM-driven agentic AI, establishing a comprehensive analysis.
Architectural models and input-output mechanisms are classified to clarify how agentic AI can optimize task performance.
Identifying ethical and security challenges within agentic AI highlights the need for responsible application in various domains.

Discussion

No takes yet. Share an insight, caveat, or question.

This review examines agentic AI's definitions and architectures, highlighting key evaluation metrics and challenges.

Bandi et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark