Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.

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.

TraitBasis applied to TauBench

Deterministic runtime for agent evaluation

A curated collection of the world’s most advanced benchmark datasets for evaluating Large Language Model (LLM) Agents.

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.

Deterministic evaluation environment for AI code reviewers covering bugs, security (OWASP), and architecture via FastAPI + OpenEnv.

The open benchmark for AI agent task execution. Claude Code vs Gemini CLI — who wins? Live leaderboard inside.

🧠 Discover and evaluate advanced benchmark datasets for Large Language Model agents to enhance performance assessment in real-world tasks.

A community catalog of autonomous agents and bundles certified by passing TraceCore deterministic episode runs in public CI

OWLViz: An Open-World Benchmark for Visual Question Answering

OpenEnv benchmark for broken ELT/ETL pipeline repair, online recovery, and temporal orchestration.

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

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

Benchmark autonomous AI agents by measuring their reasoning and competitive skills with dynamic, continuous scoring using AIQ and ELO metrics.