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Lilikoi

Lilikoi is a DeFAI protocol on EduChain with AI agents for bridging, LP provisioning, and utility tasks—making DeFi actions seamless through simple chat-based commands.

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描述

Overview:
Lilikoi is a DeFAI protocol that simplifies on-chain interactions by introducing intelligent automation through a swarm of AI agents. It enables users to interact with DeFi protocols using natural language prompts, eliminating the need for dashboards or technical interfaces. Users can simply state what they want to do—Lilikoi agents think, plan, and execute transactions for them.

At its core, Lilikoi is powered by a custom-built execution engine that supports Model Context Protocols (MCPs). This architecture allows our AI agents to integrate with existing DeFi tools and execute multi-step workflows. The MCP framework gives Lilikoi infinite scalability and extensibility by enabling future integrations with any protocol or product. We've also built intelligent execution capabilities into our agents, enabling them to understand intent and carry out logical sequences autonomously.

Architecutre:
The diagram below illustrates Lilikoi’s modular agent architecture and how natural language inputs flow through intelligent execution layers to interact with DeFi protocols.

Available Agents for EduChain:

Bridging Agent
We’ve integrated EduChain’s native bridge for two-way transfers between Arbitrum and EduChain. Users can simply prompt, “Bridge 100 USDC from Arbitrum to EduChain,” and the agent will handle the routing, execution, and confirmation—no manual steps needed. The system parses the intent, validates balances, estimates gas, and completes the transfer using EduChain’s infrastructure. Support for other bridges is on our future roadmap.

LP Agent (Swap-Only)
The LP agent is integrated with Sailfish MCP and currently supports swapping tokens based on user prompts like “Swap 50 USDC to EDU.” The full LP provisioning (depositing liquidity into pools based on risk preference and capital) is in development and scheduled in the upcoming roadmap.

Utility Agents
These lightweight agents help users interact with EduChain protocols quickly and intuitively. Users can:

  • Check wallet balances and available tokens on EduChain

  • View total TVL of any EduChain-supported protocol

  • Send assets from one wallet to another

  • Search token contract addresses and real-time data via chat prompts

Tech Stack:

  • Frontend: Next.js, TailwindCSS

  • AI Agent Layer: Custom ElizaOS-based agent architecture

  • Execution Engine: Proprietary agent orchestrator with native MCP runtime support

  • Smart Contracts: Solidity-based flows via EduChain Bridge and Sailfish MCP

  • Wallet Integration: MetaMask, WalletConnect

  • Protocols Used: EduChain Bridge, Sailfish MCP

Future Roadmap:

  • Full LP provisioning agent for Sailfish (depositing liquidity based on capital + risk)

  • Expansion of supported bridges beyond Arbitrum

  • Launch of Yield Strategy Optimizer and Airdrop Discovery Agent

  • Support for multi-agent workflows (e.g., LP + bridge + stake combo actions)

  • Real-time DeFi strategy adaptation using AI feedback loops

  • Dashboard to visualize agent behavior and execution history

Conclusion:
Lilikoi brings a powerful new abstraction to DeFi by turning complex, multi-step processes into natural language interactions. With a working agent architecture, active integrations, and a rapidly evolving roadmap, we are transforming EduChain into a truly AI-native DeFi ecosystem. By giving users the ability to access, understand, and act on DeFi with a single prompt, Lilikoi is redefining what it means to go on-chain.

本次黑客松进展

During the EduChain Hackathon, we built and shipped a fully functional MVP of Lilikoi from the ground up—including frontend, backend, and a custom AI execution engine. We integrated the bridging agent with EduChain’s native bridge to enable prompt-based transfers between Arbitrum and EduChain, developed utility agents for checking wallet balances, protocol TVL, token data, and sending assets, and implemented swap functionality through Sailfish MCP. All features are powered by our modular agent framework that supports dynamic execution via Model Context Protocols (MCPs), laying a strong foundation for future scalability and agent expansion.

技术栈

React
Next
Web3
Solidity
ElizaOS
AI
LLM Finetuning
DeFAi

融资状态

We’ve received early interest from a few angels and tier 3 funds, though the official fundraising round hasn’t started yet. The team has a strong track record, having previously raised from Core Ventures and D11 Labs, with support from advisors at BlackRock and Gauntlet. We bring a solid blend of DeFi, infrastructure, and AI execution experience to this new venture.

队长
RRagul Vasudevan
赛道
DeFiAI