Adala
AI agentsAdala is an autonomous data labeling agent framework, developed by HumanSignal and open-sourced on GitHub. It provides a framework for implementing data processing agents, with a focus on diverse data labeling tasks. These agents are autonomous and can independently acquire one or more skills through iterative learning, a process influenced by their operating environment, observations, and reflections. Users define the environment by providing a ground truth labeled dataset, and the agents learn and apply skills in an environment called "runtime" (i.e., an LLM). Adala emphasizes features such as reliability based on real data, controllable output, expertise in data processing, autonomous learning capability, a flexible and extensible runtime, and ease of customization. The framework is primarily aimed at AI engineers, machine learning researchers, data scientists, educators, and students. It can be used directly through Python notebooks and supports setting OPENAI_API_KEY or using compatible LLMs such as Claude and Gemini through OpenRouter.
