Adala
Open-source autonomous agent framework for automating data labeling with LLMs
Data verified Aug 30, 2026
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About Adala
Adala is an open-source Autonomous Data (Labeling) Agent framework for implementing agents specialized in data processing and diverse data labeling tasks. Its agents learn skills iteratively and independently from a ground truth dataset provided as their environment, applying those skills within a configurable runtime (an LLM). Users can control and constrain each skill's output, and the framework is extensible across multiple runtimes for tasks like classification, summarization, and data generation.
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Commonly Cited Strengths & Limitations
Strengths
- Reliable results grounded in ground truth data
- Controllable and configurable output








