Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal
  Predefinition and Maximal Self-Evolution
Authors: name: Jiahao Qiu; name: Xuan Qi; name: Tongcheng Zhang; name: Xinzhe Juan; name: Jiacheng Guo; name: Yifu Lu; name: Yimin Wang; name: Zixin Yao; name: Qihan Ren; name: Xun Jiang; name: Xing Zhou; name: Dongrui Liu; name: Ling Yang; name: Yue Wu; name: Kaixuan Huang; name: Shilong Liu; name: Hongru Wang; name: Mengdi Wang
Published: 2025-05-26 17:58:53

Abstract: Recent advances in large language models (LLMs) have enabled agents to
autonomously perform complex, open-ended tasks. However, many existing
frameworks depend heavily on manually predefined tools and workflows, which
hinder their adaptability, scalability, and generalization across domains. In
this work, we introduce Alita--a generalist agent designed with the principle
of "Simplicity is the ultimate sophistication," enabling scalable agentic
reasoning through minimal predefinition and maximal self-evolution. For minimal
predefinition, Alita is equipped with only one component for direct
problem-solving, making it much simpler and neater than previous approaches
that relied heavily on hand-crafted, elaborate tools and workflows. This clean
design enhances its potential to generalize to challenging questions, without
being limited by tools. For Maximal self-evolution, we enable the creativity of
Alita by providing a suite of general-purpose components to autonomously
construct, refine, and reuse external capabilities by generating task-related
model context protocols (MCPs) from open source, which contributes to scalable
agentic reasoning. Notably, Alita achieves 75.15% pass@1 and 87.27% pass@3
accuracy, which is top-ranking among general-purpose agents, on the GAIA
benchmark validation dataset, 74.00% and 52.00% pass@1, respectively, on
Mathvista and PathVQA, outperforming many agent systems with far greater
complexity. More details will be updated at
https://github.com/CharlesQ9/Alita{https://github.com/CharlesQ9/Alita}.