EVO-AI
  • 🚀EVOAI AGENT Whitepaper
    • 💓Abstract
  • 1.Project Vision
    • ❓1.1The Problem
    • ♓1.2 The Solution
    • 💓1.3Why Now?
  • 2.Technology and Architecture
    • ♉Core Components
  • 3.Tokenomics
    • ♦️3.1 $EVO-AI Token
    • 😳3.2 Allocation
    • 🫁3.3 Token Utility
  • 4. Roadmap
    • Q1 2025: User Growth & Framework Stress Testing
    • 🚀Q2 2025: Expansion of the AI Agent Ecosystem
    • Q3 2025: Token Generation Event (TGE) & Exchange Listings
    • Q4 2025: Enterprise Adoption & Ecosystem Leadership
  • 5. Strategic Partners
    • 🛻Strategic Partners
  • 6.Team & Advisors
    • 🧑‍🤝‍🧑Team & Advisors
  • 8. Conclusion
    • 🚩Strategic Enhancement:
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  1. 4. Roadmap

Q2 2025: Expansion of the AI Agent Ecosystem

Goal: Drive adoption through diverse AI use cases and tools while integrating the MCP protocol to enhance cross-chain collaboration. Key Milestones:

  • Release an AI Agent SDK, enabling developers to build customized AI agents (e.g., DeFi trading bots, NLP chatbots).

  • Integrate DeepSeek’s federated learning module to offer privacy-preserving enterprise solutions.

  • Host an AI Agent Hackathon with a $500,000 prize pool to foster innovation.

  • Integrate the MCP protocol (Multi-Chain Communication Protocol) to enable cross-chain AI agent collaboration and data interoperability.

  • Develop MCP-compatible modules to optimize cross-chain transaction speed and security.

  • Establish partnerships with MCP-enabled blockchain projects (e.g., Polkadot, Cosmos) to validate multi-chain AI use cases.

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Last updated 5 days ago

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