Apple Introduces Proactive Agent Research Environment (Pare) for Simulating Active Users

Jul 14, 2026

Apple ML Research has released Pare, a framework designed for building and evaluating proactive agents that can anticipate user needs and autonomously execute tasks. Pare models applications as finite state machines to better capture the stateful and sequential nature of user interactions, addressing the limitations of flat tool-calling APIs.

Why it matters: Pare offers a more realistic user simulation framework, which could accelerate the development and evaluation of proactive digital assistants.

Full story at: Apple Machine Learning Research ↗