Hiperyon

Hiperyon is a Chrome extension designed to significantly boost AI performance and user productivity by creating a unified memory layer across various Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, Mistral, Grok, DeepSeek, Perplexity, and Replit. It allows users to seamlessly switch between different AI models without losing context, ensuring their full conversation history and preferences are retained. This intelligent memory system analyzes and remembers relevant information, preventing repetition and enabling smarter responses with fewer wasted tokens. Hiperyon aims to act as a "digital brain," adapting to user needs, remembering preferences, and transforming AI interactions into more intuitive and efficient experiences. It also emphasizes robust data security, privacy, and user control over personal data, being GDPR compliant.

How to Use

To use Hiperyon, users install the Chrome extension. Once installed, it adds a memory layer to browser-based AI tools. Users can then interact with various LLMs, and Hiperyon will automatically capture and store the context of their conversations. This stored memory can be manually triggered via a button or the Ctrl+Q keyboard shortcut to enrich interactions and ensure the AI uses the stored context. The Hiperyon dashboard provides a comprehensive interface to view, search, edit, or delete any stored memory, and users can also add memories manually. Memory syncs across devices via the Hiperyon cloud server.

Key Features

• Unified memory across multiple LLMs (ChatGPT, Claude, Gemini, Mistral, Grok, DeepSeek, Perplexity, Replit)
• Seamless switching between AI models without losing context
• Intelligent memory system for smarter responses and token savings
• Enhanced AI performance and productivity (up to 30% better results, 90% token savings)
• Robust data security and privacy (encrypted, GDPR compliant, user data ownership)
• Easy-to-use interface with simple activation and memory recall
• Dashboard for comprehensive memory management (view, edit, delete, add manually)
• High availability (100% uptime guarantee)

Use Cases

• Improving productivity and efficiency when working with multiple AI models simultaneously.
• Ensuring context is retained across different LLMs to avoid repetition and generate more relevant responses.
• Optimizing AI workflows for content creation, research, coding, and problem-solving.
• Leveraging the best features of various AI models without the hassle of re-explaining context.
• Saving time and tokens by preventing redundant inputs to AI systems.