LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges

Researchers have released LiveAgentBench, a comprehensive benchmark featuring 104 real-world scenarios to evaluate AI agent performance across practical applications. The benchmark uses a novel Social Perception-Driven Data Generation method to ensure tasks reflect actual user requirements and includes 374 total tasks for testing various AI models and frameworks.