Cipher AI Vault

Cipher AI Vault is an Azle-based proof of concept that seamlessly integrates:

• In-memory VectorDB
• In-memory LLM
• Secure asset storage
• Stable memory data storage
• Cycles-distro top-up
• ic-auth for authentication

This versatile platform showcases the Internet Computer's potential for secure, sandboxed AI development, offering adaptable tools for a wide range of AI-driven applications.

Note: This demo is a proof of concept and not intended for production use. It was developed as part of a Developer Grant from the DFINITY Foundation.

Table of Contents

• Demo Canisters and Repositories
• Core Features
• Prerequisites
• Quick Setup Instructions
• Detailed Setup and Deployment
• Roadmap
• License

Demo Canisters and Repositories

Main Demo

• Cipher AI Vault Demo

Standalone Demo Canisters

• WebGPU LLM Demo

Grant Deliverables Repositories

• ic-auth
• Cycles Distro
• Data Store Canister

Core Features

1. Frontend Canister: Main entry point for user interactions
2. In-memory VectorDB: Stores and manages embeddings for efficient retrieval
3. In-memory LLM: Processes natural language queries and interacts with the VectorDB
4. Secure Asset Storage: Dedicated module for secure asset storage
5. Secure Data Store: Dedicated canister for storing data in stable memory
6. Cycles Distro Canister: Manages cycles and top-ups
7. ic-auth: Handles authentication with various wallets (Plug, Stoic, NFID, and Internet Identity)

Prerequisites

WebGPU Support

For the best experience, use a WebGPU enabled browser. We recommend Chrome Canary.

Required Software

• DFX
• Node.js
• Azle development kit

For setup assistance, refer to:

• DFX Setup
• Node.js Setup
• Azle Documentation

Required Wallets

You will need one of the following wallets:

• Plug Wallet
• Stoic Wallet
• NFID Wallet
• Internet Identity

Quick Setup Instructions

1. Clone the repository:

   git clone https://github.com/supaIC/Cipher-AI-Vault.git
   cd Cipher-AI-Vault

2. Run the setup script:

   npm run setup

   Note: You may be prompted to enter your DFX identity password during setup.

Detailed Setup and Deployment

For detailed instructions, refer to the following README files within this repository:

• Frontend Canister Setup and Deployment
• Cycles Distro Canister Setup and Deployment
• Data Store Canister Setup and Deployment

Cipher AI Vault Roadmap

• Data Store backup canister
• Edit Data Store file entries
• Multiple in-memory LLM support
• Models stored in asset canisters
• Embeddings backed up in Stable Memory
• Generate a Data File from a document using in-memory LLM
• Generate images to be stored in the Image Store using in-memory Stable Diffusion

License

This project is licensed under the MIT License - see the LICENSE file for details.