Adala is an agent framework for implementing autonomous agents specialized in data labeling tasks. Agents learn skills iteratively from ground truth data provided by the user, improving through environment observations and reflections. The framework leverages LLMs from providers like OpenAI and VertexAI as the runtime for agents to acquire and apply their learned skills.