claw-eval/claw-eval
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
Open-source benchmark for browser AI agents on daily tasks.
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Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
BenchClaw — Multi-dimensional AI agent evaluation with 17-judge AI Tribunal, 10 scoring dimensions, radar charts, and deception detection. Benchmark any LLM agent.
BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.
Measuring and evolving with the frontier of agent work
Collection of evals for Inspect AI
SWE-bench: Can Language Models Resolve Real-world Github Issues?