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OpenAdapt.AI is an open-sourceGenerative Process Automation framework that aims to transform task automation across applications and platforms. Designed as a baseline for evaluating agents, OpenAdapt.AI learns from human demonstrations to intelligently automate tasks, adapting dynamically to evolving workflows.

🚀 What is OpenAdapt.AI?

OpenAdapt.AI leverages advanced machine learning models to:

  • Observe and Learn: Automatically learns from user interactions to generate automation scripts.
  • Automate Intelligently: Adapts to software changes, varying workflows, and complex environments.
  • Ensure Privacy: Privacy is a core focus, with robust data handling mechanisms to protect user data.

🌟 Key Features

  • Generative Process Automation: Automates tasks using generative AI models that learn from demonstrations.
  • Cross-Platform Compatibility: Works seamlessly with browser apps (e.g., Chrome) and desktop applications.
  • Audio Narration Transcription: Converts spoken instructions or feedback into automation scripts.
  • Flexible LLM Model Providers: Supports multiple language model providers, including:
    • Online:OpenAI,Anthropic,Google
    • Offline (Work in Progress):Ollama,vLLM
  • Open Source: Developed transparently and collaboratively by the community.
  • Privacy by Design: Uses tools like AWS Rekognition, Microsoft Presidio, and Private-ai.com to ensure data privacy.

📚 Getting Started

To get started with OpenAdapt.AI:

  1. Clone the Repository:git clone https://github.com/OpenAdaptAI/OpenAdapt
  2. Install Dependencies: Follow theInstallation Guide
  3. Run Your First Automation: Check out ourQuick Start Guide

🛠️ Contributing

We welcome contributions from everyone. Whether you're a developer, data scientist, tester, or just passionate about automation, there's a place for you here!

Join ourCommunity to discuss new ideas, report bugs, or seek help.

🤝 Implementation Consulting

Looking to implement OpenAdapt.AI in your organization or need help tailoring it to your specific use case? We offer expert consulting services to assist with deployment, customization, and optimization of OpenAdapt.AI for your unique needs.

For more information or to schedule a consultation, contact us atsales@openadapt.ai.

🤝 Sponsors and Partners

OpenAdapt.AI is made possible by the support of our contributors and partners. If you're interested in sponsoring the development, check out ourGitHub Sponsors page.

📬 Contact

For general questions, feedback, or partnership inquiries, please reach out atcontact@openadapt.ai.

⚠️ Disclaimer

OpenAdapt.AI is currently in alpha. While it's functional, some features are still under development. Use with caution in production environments.

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  1. OpenAdaptOpenAdaptPublic

    Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

    Python 1.2k 169

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Showing 10 of 32 repositories
  • OmniMCP.web Public Forked fromOpenAdaptAI/OpenAdapt.web

    Web interface for OmniMCP.

    OpenAdaptAI/OmniMCP.web’s past year of commit activity
    JavaScript0 11 0 0 UpdatedMar 21, 2025
  • OmniMCP Public

    OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

    OpenAdaptAI/OmniMCP’s past year of commit activity
    TeX 4 2 1 0 UpdatedMar 19, 2025
  • OpenAdapt Public

    Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

    OpenAdaptAI/OpenAdapt’s past year of commit activity
    Python 1,202MIT 169 344(34 issues need help) 68 UpdatedMar 16, 2025
  • OpenAdapter Public

    Effortless Deployment and Integration for SOTA Screenshot Parsing and Action Models

    OpenAdaptAI/OpenAdapter’s past year of commit activity
    10 3 1 UpdatedFeb 18, 2025
  • OpenAdaptAI/OmniParser’s past year of commit activity
    Jupyter Notebook 4CC-BY-4.0 1,712 1 1 UpdatedFeb 14, 2025
  • R1-V Public Forked fromDeep-Agent/R1-V

    Witness the aha moment of VLM with less than $3.

    OpenAdaptAI/R1-V’s past year of commit activity
    Python0 261 0 0 UpdatedFeb 4, 2025
  • Qwen2.5-VL Public Forked fromQwenLM/Qwen2.5-VL

    Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

    OpenAdaptAI/Qwen2.5-VL’s past year of commit activity
    Jupyter Notebook0Apache-2.0 632 0 0 UpdatedJan 28, 2025
  • open-r1-multimodal Public Forked fromEvolvingLMMs-Lab/open-r1-multimodal

    A fork to add multimodal model training to open-r1

    OpenAdaptAI/open-r1-multimodal’s past year of commit activity
    Python0Apache-2.0 57 0 0 UpdatedJan 28, 2025
  • Janus Public Forked fromdeepseek-ai/Janus

    Janus-Series: Unified Multimodal Understanding and Generation Models

    OpenAdaptAI/Janus’s past year of commit activity
    Python0MIT 2,207 0 0 UpdatedJan 27, 2025
  • UI-TARS-desktop Public Forked frombytedance/UI-TARS-desktop

    An GUI Agent application based on UI-TARS(Vision-Lanuage Model) that allows you to control your computer using natural language.

    OpenAdaptAI/UI-TARS-desktop’s past year of commit activity
    TypeScript0Apache-2.0 253 0 0 UpdatedJan 21, 2025

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