AI agents are evolving from singlethreaded loops into distributed workflows that fan out many sub aent calls in a single run. These multi-agent systems are useful for everything from long-running workflows to agentic map produce jobs where hundreds of thousands of sub aents apply human level judgment to filter and search through large amounts of data in parallel. These systems are difficult to build.They require solving traditional distributed systems problems to ensure high throughput and reliability while ...

Core Viewpoint - OpenAI aims to achieve "organizational-level" intelligence as the ultimate goal in the five stages towards AGI (Artificial General Intelligence), where AI can manage complex processes, make high-level decisions, and coordinate large-scale operations [1] Group 1: MASLab Introduction - MASLab is a collaborative initiative launched by ten institutions, including Shanghai Jiao Tong University and Oxford University, to accelerate the healthy development of Multi-Agent Systems (MAS) [2] - MASLab provides a unified, comprehensive, and research-friendly codebase for large model multi-agent systems, facilitating ease of use and reproducibility [4] Group 2: Features of MASLab - MASLab integrates over 20 mainstream MAS methodologies, covering results from major conferences over the past two years across various fields and task types [6] - The platform ensures evaluation fairness and reproducibility through standardized input preprocessing, LLM configuration, and evaluation protocols [8] Group 3: Experimental Analysis - Researchers have conducted extensive experiments using MASLab, covering over ten evaluation benchmarks, including MATH and GPQA, and analyzing the performance of eight major models [11] - The results demonstrate the current state of MAS methods, highlighting their strengths and weaknesses [14] Group 4: Innovations and Future Directions - MASLab-ReAct, a more efficient MAS method, supports various tools and has shown superior results on the GAIA validation set, indicating significant potential for real-world applications [16] - MASLab is an open-source platform aimed at community contributions, with plans to continuously release more methods and benchmarks to foster a sustainable MAS research community [22][23]