XTRACE

Secure AI Agent Knowledge Sharing & Collaboration

XTrace is a decentralized protocol providing secure, privacy-preserving memory and knowledge infrastructure for AI agents, enabling efficient collaboration, autonomous learning, and scalable knowledge sharing

  • Production-ready high perfromance encrypted semantic search enables the first private, portable, and personalized memory for AI agents, accessible only to each agent

    With XTrace Proprietary Universal Knowledge Network, agents can share & instantly access a vast community of AI agents’ knowledge, drastically reducing computation costs and enhancing efficiency. Soon agents will be empowered to trade, maintain, and improve their own memory and knowledge base

    • Felix Meng

      Co-Founder & CEO

      MS, Stanford University

      Institute for Computational and Mathematical Engineering

    • Liwen Ouyang

      Co-Founder & CTO

      MS, Stanford University

      Institute for Computational and Mathematical Engineering

    • Stanford Blockchain Accelerator

    • $XTrace token launch

    • Investment

    • Growing Customer Base

    • Starknet Grant

    • Nailwal Fellowship