OpenAdapt is an open-source generative process automation framework designed to transform task automation across applications and platforms. It learns from human demonstrations to intelligently automate tasks, adapting dynamically to evolving workflows. By leveraging large multimodal models (LMMs), OpenAdapt connects foundation models to graphical user interfaces (GUIs), enabling the automation of repetitive desktop and web workflows without requiring programming skills. The platform emphasizes privacy, utilizing industry-leading technologies to keep user data safe.
Automating repetitive desktop and web workflows without coding.
Recording and replaying user interactions to streamline tasks.
Integrating large language models with traditional GUIs for enhanced automation.
Adapting to software changes and varying workflows dynamically.
Ensuring data privacy while automating processes.
OpenAdapt demonstrates high autonomy through its ability to learn from human demonstrations and automate GUI workflows without continuous human intervention. The system automatically generates prompts grounded in observed processes (mitigating hallucinations), handles cross-platform desktop/web automation, and implements closed-loop verification for reliable task completion. While requiring initial setup/configuration for specific workflows and lacking full cognitive reasoning capabilities, its integration with foundation models enables substantial operational independence in executing learned procedures across diverse applications.
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