← Back to home

LiquidAI

An ASI powered fully automated advisory agent, from finding best place to earning profit from it.

Problem Statement

LiquidAI is an autonomous liquidity orchestration protocol that uses AI reasoning and on-chain data to actively manage DeFi liquidity positions. It continuously analyzes APR, volatility, and risk across pools, then reallocates liquidity intelligently to maximize yield and minimize risk — just like a self-driving portfolio manager for DeFi.ProblemDeFi users constantly face:Fragmented liquidity across chains and poolsVolatile markets that make manual rebalancing inefficientLack of transparency in why liquidity decisions are madeStatic yield strategies that fail to adapt to real-time dataManual liquidity management is error-prone, time-consuming, and often leads to missed opportunities or unnecessary risks.💡 Solution — LiquidAILiquidAI introduces an AI-powered liquidity manager that automates portfolio rebalancing across DEX pools. It integrates:Pyth Network for live price feedsEnvio HyperIndex for on-chain liquidity metricsMeTTa reasoning (from ASI) for intelligent decision-makingHardhat 3 for testing, deploying, and simulating smart contractsUsers interact through a dashboard and AI chat interface that transparently explains every liquidity move, confidence level, and reasoning rule behind it.

Solution

How We Built LiquidAI – The Nitty-GrittyLiquidAI is an AI-driven liquidity orchestration protocol that combines real-time data, reasoning-based AI, and a live dashboard for portfolio management. It’s built around three layers — Data, AI, and Frontend — stitched together for real-time interactivity and explainability.Tech Stack OverviewData LayerPyth Network for real-time price feedsEnvio HyperIndex for on-chain pool metricsUniswap V3 APIs for APR, TVL, and liquidity statsAggregated via Next.js API routes, updated every 3 seconds to simulate live market dataHacky Part: We faked a real-time trading environment entirely in the browser using React state updates and interval-based “pseudo-streaming.”AI Layer (MeTTa Reasoning Engine)Custom-built mettaReasoner.ts mimics rule-based symbolic reasoning (e.g., volatility_high → rebalance_to_stables).Generates confidence scores and actions in real time, shown on the dashboard.Hacky Part: Built a lightweight MeTTa-like engine from scratch in JS to simulate explainable decision logic live in the browser.Smart ContractsLiquidityVault.sol (Solidity 0.8.24) handles deposits and strategy execution.Integrated OpenZeppelin libraries for ERC-20 safety and compliance.Deployed via Hardhat with mock price updates from Pyth scripts.Frontend (Next.js + Tailwind)Next.js 14 + TypeScript for fast, modular frontendTailwindCSS + Framer Motion for sleek UI/animations“Demo Mode” simulates complete AI-driven rebalancing workflows client-sideAI Agent ArchitectureObserver Agent – Collects and analyzes dataAllocator Agent – Runs MeTTa reasoning and suggests allocationsExecutor Agent – Simulates or executes transactionsThey communicate through lightweight Node.js event emitters for real-time updates.🚀 What’s NotableReal-time simulation without backendCustom symbolic AI engine in JSTransparent “reasoning cards” showing how AI makes decisionsFully modular AI-agent designEnd ResultLiquidAI is a self-contained, AI-powered liquidity manager that reacts to market changes in real time, explains its reasoning, and demonstrates how AI + DeFi automation can coexist with human transparency and control.

Hackathon

ETHOnline 2025

2025

Contributors