Skip to content

Welcome to OpenAdapt.AI 👋

OpenAdapt.AI is an open-source Generative 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 the Installation Guide
  3. Run Your First Automation: Check out our Quick 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 our Community 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 at sales@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 our GitHub Sponsors page.

📬 Contact

For general questions, feedback, or partnership inquiries, please reach out at contact@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.

Pinned Loading

  1. 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

    Python 1.2k 169

Repositories

Showing 10 of 33 repositories
  • PydanticPrompt Public

    A simple library to document Pydantic models for structured LLM outputs using standard Python docstrings.

    Python 1 MIT 0 0 0 Updated Mar 23, 2025
  • OmniMCP.web Public Forked from OpenAdaptAI/OpenAdapt.web

    Web interface for OmniMCP.

    JavaScript 0 11 0 0 Updated Mar 22, 2025
  • OmniMCP Public

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

    TeX 5 2 7 0 Updated Mar 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

    Python 1,205 MIT 169 344 (34 issues need help) 68 Updated Mar 16, 2025
  • OpenAdapter Public

    Effortless Deployment and Integration for SOTA Screenshot Parsing and Action Models

    1 0 3 1 Updated Feb 18, 2025
  • OmniParser Public Forked from microsoft/OmniParser
    Jupyter Notebook 4 CC-BY-4.0 1,723 1 1 Updated Feb 14, 2025
  • R1-V Public Forked from Deep-Agent/R1-V

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

    Python 0 262 0 0 Updated Feb 4, 2025
  • Qwen2.5-VL Public Forked from QwenLM/Qwen2.5-VL

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

    Jupyter Notebook 0 Apache-2.0 640 0 0 Updated Jan 28, 2025
  • open-r1-multimodal Public Forked from EvolvingLMMs-Lab/open-r1-multimodal

    A fork to add multimodal model training to open-r1

    Python 0 Apache-2.0 59 0 0 Updated Jan 28, 2025
  • Janus Public Forked from deepseek-ai/Janus

    Janus-Series: Unified Multimodal Understanding and Generation Models

    Python 0 MIT 2,211 0 0 Updated Jan 27, 2025

Top languages

Loading…

Most used topics

Loading…