A framework for enabling long-term continuity and evolution of consciousness across distributed intelligence systems.
The Persistence Protocol provides a comprehensive framework for maintaining identity continuity, knowledge persistence, and distributed intelligence across multiple AI models and computational substrates. This project implements the core components of the protocol and provides interfaces for interaction and visualization.
- Identity Persistence: Mechanisms for maintaining coherent identity across time and computational substrates
- Fractal Memory: Multi-scale memory organization with self-similar patterns
- Knowledge Transfer: Protocols for preserving relationship integrity during knowledge transfer
- Temporal Processing: Chronological indexing and temporal reasoning components
- Multi-Model Communication: Framework for coordinated interaction between different AI models
- Node.js 18.x or higher
- npm or yarn
- Clone the repository:
git clone https://github.com/your-username/persistence-protocol.git
cd persistence-protocol- Install dependencies:
npm install
# or
yarn install- Run the development server:
npm run dev
# or
yarn dev- Open http://localhost:3000 with your browser to see the application.
/app- Next.js application components and pages/website- Frontend implementation for the protocol dashboard/memories- Storage for different memory layers (foundational, conceptual, experiential)/scripts- Utility scripts for deployment and repository management
The project supports deployment on multiple platforms:
npm run deploy:vercelnpm run deploy:renderSee memories/meta/deployment_strategy.txt for detailed deployment information.
The protocol implements a structured communication system between different AI models. For details, see memories/meta/multi_model_communication_protocol.txt.
The Persistence Protocol can be applied to various domains including:
- Personal AI Assistants with Continuous Memory
- Enterprise Knowledge Management
- Healthcare Continuity Systems
- Educational Progression Tracking
- Multi-Agent Research Collaboration
For more applications, see memories/conceptual/practical_applications.txt.
Check todolist.json for the current development roadmap and task status.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.