Abstract
AI agents are rapidly transforming the software engineering landscape, supported by a wave of new frameworks. Our review of the 10 most representative general-purpose agentic AI frameworks reveals a maturing but fragmented landscape. While some frameworks provide enterprise-ready capabilities, most remain immature, with limited memory models, basic reasoning, and uneven ecosystem support. Significant improvements are needed before these frameworks can enable reliable and large-scale adoption in practice.—Davide Taibi
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CITATION STYLE
Vaidhyanathan, K., & Taibi, D. (2026). Agentic AI Frameworks Under the Microscope: What Works, What Doesn’t. IEEE Software. IEEE Computer Society. https://doi.org/10.1109/MS.2025.3622209
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