Data is securely stored and on-chain verification, ensuring immutability and transparency, with no reliance on centralized storage.
AI agents have lasting memory, allowing continuous learning and self-improvement over time.
High-performance decentralized storage enables fast, low-latency access to AI agents memories.
Supports seamless memory sharing and collaboration across different AI platforms, boosting interoperability.
AI agents continuously learn from user interactions, adapting over time to provide more personalized and efficient assistance, such as in customer support, where the agent improves responses and anticipates needs.
AI agents from different platforms can seamlessly collaborate, exchanging data to offer comprehensive solutions. For example, a finance AI agent can work with a healthcare AI to provide tailored advice based on both financial and health data.
AI agents contribute to and access a decentralized, shared knowledge base, improving their responses by learning from a broad, cross-platform repository. For example, an e-commerce AI agent can leverage healthcare knowledge to enhance product recommendations.
Road Map
