We are thrilled to introduce a project we've been working on for quite some time – Adala, an open source *A*utonomous *DA*ta (*L*abeling) *A*gent framework.

Adala is a robust framework for implementing agents that specializes in advanced data processing tasks. Think of these agents as smart assistants that can teach themselves different tasks or skills over time, such as data classification, summarization, or data generation. The agent learns based on the context you provide and the data it encounters. For Adala, you define this context by providing it with a ground truth dataset.

True progress in the field of AI most often comes from accessible knowledge, collaboration, and strong feedback loops. By open-sourcing Adala, our goal is to inspire creativity and the development of novel applications. And we want to help drive new standards and best practices in a rapidly changing market.

We've designed Adala with modularity at its core, emphasizing our belief in strong contributions from the community. We eagerly invite the AI community to contribute by:

- Developing various agent skills and scaling up their reasoning abilities. - Adding support for more runtimes and dataset formats. - Creating new environments to capture ground truth feedback. - Testing and improving the core software, examples, and docs.

We can’t wait to see what you will build! The HumanSignal team

Github link: https://github.com/HumanSignal/Adala Discourse link: https://discord.gg/QBtgTbXTgU