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IBM Research and Hugging Face Launch Open Agent Leaderboard — First Standardized Benchmark for Complete Agentic Systems
IBM Research released the Open Agent Leaderboard on Hugging Face, moving beyond single-model benchmarks to evaluate full agentic systems including tool use, planning, memory, and error recovery. Presented at ICLR 2026 with a General Agent Evaluation paper. This addresses a critical gap: existing benchmarks measure model intelligence in isolation, but real agent performance depends on the entire stack — tool selection, step planning, context persistence, and failure handling.
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