zjunlp/WorfBench
[ICLR 2025] Benchmarking Agentic Workflow Generation
[EMNLP 2026] OceanGym: A Benchmark Environment for Underwater Embodied Agents
$ git clone https://github.com/OceanGPT/OceanGym.git[ICLR 2025] Benchmarking Agentic Workflow Generation
LabVLA: Grounding Vision–Language–Action Models in Scientific Laboratories
▲ +20 ★ this week
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A 13B large language model developed by Baichuan Intelligent Technology
▲ +2 ★ this week
Code and datasets for "Character-LLM: A Trainable Agent for Role-Playing"
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Data from GitHub · snapshot Nov 13, 2026