LiquidAI
An ASI powered fully automated advisory agent, from finding best place to earning profit from it.
Demo
About
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. Problem DeFi users constantly face: Fragmented liquidity across chains and pools Volatile markets that make manual rebalancing inefficient Lack of transparency in why liquidity decisions are made Static yield strategies that fail to adapt to real-time data Manual liquidity management is error-prone, time-consuming, and often leads to missed opportunities or unnecessary risks. 💡 Solution — LiquidAI LiquidAI introduces an AI-powered liquidity manager that automates portfolio rebalancing across DEX pools. It integrates: Pyth Network for live price feeds Envio HyperIndex for on-chain liquidity metrics MeTTa reasoning (from ASI) for intelligent decision-making Hardhat 3 for testing, deploying, and simulating smart contracts Users interact through a dashboard and AI chat interface that transparently explains every liquidity move, confidence level, and reasoning rule behind it.
How it's made
How We Built LiquidAI – The Nitty-Gritty LiquidAI 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 Overview 1. Data Layer Pyth Network for real-time price feeds Envio HyperIndex for on-chain pool metrics Uniswap V3 APIs for APR, TVL, and liquidity stats Aggregated via Next.js API routes, updated every 3 seconds to simulate live market data Hacky Part: We faked a real-time trading environment entirely in the browser using React state updates and interval-based “pseudo-streaming.” 2. 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. 3. Smart Contracts LiquidityVault.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. 4. Frontend (Next.js + Tailwind) Next.js 14 + TypeScript for fast, modular frontend TailwindCSS + Framer Motion for sleek UI/animations “Demo Mode” simulates complete AI-driven rebalancing workflows client-side AI Agent Architecture Observer Agent – Collects and analyzes data Allocator Agent – Runs MeTTa reasoning and suggests allocations Executor Agent – Simulates or executes transactions They communicate through lightweight Node.js event emitters for real-time updates. 🚀 What’s Notable Real-time simulation without backend Custom symbolic AI engine in JS Transparent “reasoning cards” showing how AI makes decisions Fully modular AI-agent design End Result LiquidAI 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.