This article surveys multimodal agentic frameworks, proposing a taxonomy that maps modality‑fusion strategies to the five core agent modules (perception, reasoning, planning, memory, action), evaluates four application domains across five performance dimensions, and highlights architectural trade‑offs and benchmark results.
This survey systematically maps the core modules, technical lineage, and emerging applications of multimodal agentic frameworks, detailing perception, orchestration, and action components, taxonomy of multimodal fusion strategies, performance bottlenecks, efficiency tricks, scalability challenges, latency sources, safety risks, current limitations, and promising future research directions.
The article outlines the core competencies of a next‑generation GenAI application engineer—rapid modular AI development, leveraging AI‑assisted coding tools, strong product and design intuition, and mastery of a layered “AI LEGO” stack ranging from prompting and RAG to agentic frameworks and multimodal technologies.
