EverMind-AI/EvoAgentBench
EvoAgentBench EvoAgentBench is a benchmark for evaluating AI agent self-evolution — the ability of agents to improve their performance by learning from past experiences. It provides standardized train/test splits across five diverse task domains, enabling reproducible comparison of skill extraction and experience reuse methods. 🎉 Accepted at EMNLP 2026. Benchmark Overview Domain Base Dataset Train Test Task Format Information Retrieval BrowseComp-Plus… See the full description on the dataset page: https://huggingface.co/datasets/EverMind-AI/EvoAgentBench.
| Author / organization | EverMind-AI |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 530 (as reported by Hugging Face) |
| Likes | 18 |
| Created | 13 April 2026 |
| Last updated at source | 16 October 2026 |
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