EcoAI
Gitbook
EcoAI

Memory on Chain.
Intelligence Unchained.

EcoAI is the first AI Agent protocol engineered to solve the long-context memory bottleneck while preserving privacy. By integrating large language models (LLMs), blockchain, and the Model Context Protocol (MCP), EcoAI empowers decentralized AI Agents to deliver persistent, personalized, and privacy-first intelligence for smart cities, agriculture, logistics, and personal life.

EcoAI Hero
Features

Product Features

Application Scenarios
Application

Application Scenarios

Smart Cities

AI Agents analyze traffic, energy use, and air quality to optimize urban systems with real-time and historical data.

Agriculture

Long-memory agents provide planting, irrigation, and pest control suggestions tailored to seasonal and environmental patterns.

Logistics

Optimize delivery routes and fleet management based on live weather, terrain, and historical transport data.

Personal Assistants

Offer personalized health tips, air quality alerts, and lifestyle insights — with full privacy through TEE protection.

Tokenomics

$ECO

Total Supply: 1,000,000,000 $ECO

Token Distribution

Token Allocation

Fair Launch: 60%
AI Ecosystem & Agent Incentives: 15%
Staking Incentives: 10%
Core Contributors: 5%
Marketing & Partnerships: 5%
Team & Advisors: 5%

Utility

Agent Service Fees: Pay for AI Agent queries, memory access, and task execution within the EcoAI ecosystem.
Context Storage & Retrieval: Use $ECO to store, update, and retrieve dynamic memory NFTs on BNB Greenfield.
Privacy Features Activation: Enable TEE-based private computation for sensitive tasks using $ECO as fuel.
Staking & Priority Access: Stake $ECO to earn rewards and unlock faster, higher-priority AI services.
Governance Participation: Vote on protocol upgrades, feature proposals, and ecosystem funding decisions.
Developer & Agent Marketplace: Transact within the upcoming marketplace for custom agents, context modules, and data APIs.
Roadmap

Roadmap

01

Protocol Foundation & Testnet

  • Develop Model Context Protocol (MCP)
  • Deploy dynamic NFT-based memory system on BNB Greenfield
  • Integrate TEE privacy switch (beta)
  • Launch developer testnet and initial AI Agent framework
  • Launch $ECO token
02

Application Layer & Ecosystem Growth

  • Deploy AI Agents for smart cities, agriculture, and personal use cases
  • Release DApp with real-time interaction and memory visualization
  • Enable user-controlled memory management (revoke/update NFTs)
  • Expand environmental data integrations and agent templates
03

Governance & Marketplace

  • Launch decentralized governance for protocol upgrades
  • Open context NFT & agent marketplace
  • Introduce staking, reward systems, and contributor incentives
  • Support third-party agent deployment and extensions
04

Global Expansion & Compliance

  • Add multilingual agent support
  • Partner with academic, enterprise, and urban infrastructure orgs
  • Launch compliance suite (e.g. GDPR-compatible key revocation)
  • Host global hackathons and privacy-AI grants
FAQ

FAQ

EcoAI is a decentralized AI Agent protocol that enables long-term memory, privacy protection, and intelligent on-chain execution.

By storing conversation history as dynamic, topic-linked NFTs on-chain, allowing AI Agents to fetch precise context without overloading the model.

MCP (Model Context Protocol) is the core coordination framework that connects AI models with on-chain memory, smart contracts, and agent logic.

They can perform DeFi actions, manage NFTs, and handle cross-chain assets through natural language commands — acting as your on-chain AI assistant.

Users can enable TEE to securely process sensitive queries in encrypted environments, with full control over their memory data.

$ECO is the utility token for paying agent services, accessing memory, participating in governance, and staking for rewards.

Users own their memory NFTs, with full rights to update, revoke, or delete data on demand.

Simply connect via the EcoAI DApp, create your agent, and interact using natural language — the AI handles the rest.