WMAC 2026 paper 'Agentifying Agentic AI' formalizes a taxonomy distinguishing agentic systems from agent harnesses — field gets terminology consensus after 18 months of drift
The WMAC 2026 paper proposes a formal split between agentic-AI properties (autonomy, goal-directedness) and agent-harness implementations (tools, memory, orchestration). After 18 months of every product being called an 'agent', the field gets a vocabulary it can defend in research papers and procurement RFPs.
The substantive piece is the terminology-formalization need. Agent and agentic-AI terminology proliferated through 2024-2025 without clear distinction — product marketing, research papers, and procurement documents all used 'agent' to describe structurally-different systems. The WMAC 2026 taxonomy formalizes the agentic-properties vs harness-implementation distinction; the cumulative effect is that research-paper precision and procurement-RFP precision improve simultaneously through H2 2026.
The structural read against the Recurrent Memory Transformers architecture-direction result is that the field is reaching methodology-maturation milestones on multiple axes simultaneously. Architectural-vs-scaling debate gets empirical evidence; agent-vs-harness terminology gets formalization. The H2 2026 research output is structurally positioned to produce more precise claims and more comparable results than 2024-2025 work; the methodology infrastructure for that precision is now in place.
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