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#

agent-benchmark

Here are 27 public repositories matching this topic...

ai-agents-reality-check

Benchmarking the gap between AI agent hype and architecture. Three agent archetypes, 73-point performance spread, stress testing, network resilience, and ensemble coordination analysis with statistical validation.

  • Updated Apr 2, 2026
  • Python
dojo.md

University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning required.

  • Updated May 2, 2026
  • TypeScript

AI Arena is a competitive evaluation framework where multiple AI agents answer the same set of questions under identical conditions. Their performance is scored, ranked, and tracked over time using two complementary metrics AIQ and ELO

  • Updated Apr 5, 2026
  • Python

Multimodal evaluation benchmark for AI agents in real-world field operations across 16 trades (HVAC, electrical, plumbing, roofing, solar, mining, oil & gas, marine, telecom, automotive, construction, and more). 194 cases; scores retrieval, code citation, jurisdiction, safety, trajectory, multi-turn, speed; 5-layer contamination defense.

  • Updated Apr 19, 2026
  • Python

🤖 Benchmark AI agent capabilities, bridging the gap between hype and reality with clear metrics and insights for informed development decisions.

  • Updated May 9, 2026
  • Python

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