Isaree-Platform
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Open-source medical-compliant AI Assistant and AI Agent Orchestration Engine with marketplace
Isaree
Medical-Grade AI Assistant & Orchestration Platform
Isaree is an open-source, medical-compliant AI Assistant and Agent Orchestration Engine designed to transform healthcare workflows. Our platform combines privacy-preserving on-device processing with powerful cloud capabilities to deliver secure, efficient, and compliant AI solutions for healthcare professionals.
IMPORTANT: Isaree is currently in development and not yet ready for clinical use. All components are provided for research and development purposes only.
Key Features
- Privacy-First Architecture: On-device processing for sensitive data with end-to-end encryption
- Multi-Modal Input Processing: Handle speech, text, and images with medical context awareness
- Compliant by Design: Designed from the ground up for HIPAA, GDPR, and other healthcare regulations
- AI Agent Marketplace: Ecosystem for specialized medical AI agents with rigorous verification
- Orchestration Engine: Coordinate multiple AI agents for complex healthcare workflows
- Healthcare Integration: Connect with existing healthcare systems through standard protocols and APIs
Project Status
Isaree is in active development. We're building the foundation for a robust, medical-grade AI platform and invite contributors to join us in this mission. Currently, we're focusing on:
- On Device AI transcription and AI Assistance
- Core architecture and infrastructure
- Security and compliance frameworks
- Client-side processing capabilities
- Agent orchestration protocols
Getting Started
Note: As Isaree is in early development, these instructions will evolve as the project matures.
Prerequisites
- Node.js 18+
- Python 3.9+
- Docker (for containerized development)
Development Setup
# Clone the repository
git clone https://github.com/isaree/isaree.git
cd isaree
# Install dependencies
npm install
# Run development environment
npm run dev
Architecture Overview
Isaree consists of five main layers:
- Client Layer: On-device AI assistant with privacy-preserving processing
- Security & Compliance Layer: Ensures adherence to healthcare regulations
- Medical AI Agent Marketplace: Ecosystem for specialized medical AI agents
- Medical-Grade AI Orchestration Platform: Core orchestration engine
- Integration and Data Layers: Connects with healthcare systems and data sources
Contributing
We welcome contributions from developers, healthcare professionals, researchers, and anyone interested in advancing medical AI. Please read our Contributing Guidelines to get started.
Areas Where We Need Help
- Security and compliance implementation
- Medical NLP models and processing
- Healthcare integration standards
- UI/UX for clinical workflows
- Testing and validation frameworks
Roadmap
Our development roadmap is organized into phases:
- Foundation Phase (Current): Core architecture, security framework, and basic functionality
- Expansion Phase: Enhanced capabilities, initial agent marketplace, and integration APIs
- Ecosystem Phase: Comprehensive agent ecosystem, advanced orchestration, and clinical validation
See our detailed Roadmap (public version in progress) for more information.
Compliance & Security
Isaree is designed with healthcare compliance as a foundational principle:
- End-to-end encryption for all sensitive data
- HIPAA-aligned security controls
- Privacy-preserving processing architecture
- Comprehensive audit logging
- Transparent data governance
For more details, see our Compliance Documentation.
License
Isaree is licensed under the Apache License 2.0.
Community
- GitHub Discussions - For questions and community discussions
- Issue Tracker - For bugs and feature requests
- Contributing Guidelines - How to contribute to the project
Citation
If you use Isaree in your research, please cite:
@software{isaree2025,
author = {Isaree Team},
title = {Isaree: Medical-Grade AI Assistant & Orchestration Platform},
url = {https://github.com/isaree/isaree},
year = {2025},
}
Acknowledgments
Isaree is built on the shoulders of giants. We're grateful to the open-source community and the pioneering work in medical AI that makes this project possible.