Adala is an open-source framework designed to automate data labeling and other data processing tasks using autonomous AI agents. These agents leverage large language models (LLMs) to perform tasks such as data classification, summarization, and generation. Adala's agents learn and improve over time by interacting with ground truth datasets and incorporating human feedback, ensuring high reliability and efficiency in data processing workflows.