Big update!
We're excited to share that we are working on integrating Tap, our AI companion device, into the Operator ecosystem. Learn more? You’ll be able to use Tap in a beta format while the Operator arrives!
Stay connected for updates on this
Memory is stratified into dynamic layers, each designed to optimize interaction and recall. The Core Layer holds crucial 'human' and 'persona' information. The Recall Layer, or ThreadChain, manages ongoing conversations. The Archival Layer, powered by InsightEngine, along with
Our memories resemble sand grains slipping through our fingers, inevitably blending in with the countless others that are washed onto the beach daily. Operator aims to aid by building up contextual layers of your captured memories, ensuring they remain recallable and retrievable
Instead of static memory limitations, the Operator employs dynamic Brain Functions, evolving with user interaction. This creates a memory system that anticipates needs and aligns with intentions, making interactions contextually relevant and intuitively connected.
The Large Context Recall (LCR) is an innovative framework integral to understand and act upon vast contexts efficiently, enabling smarter, context-aware responses and decisions.
Your Operator is designed to Think → Remember → Reply, ensuring each response is more tailored than the last, continuously enhancing the conversation's relevance and personalization.
Inputs are the way you communicate with your Operator. Think of them as your bridge to command and interact, translating your text, voice, or file commands into actions seamlessly.