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ai agent

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Basic Information

This repository provides an autonomous Blockchain AI Agent designed to monitor, analyze, and interact with multiple blockchain networks including EVM-compatible chains, Solana, and Sui. The project combines blockchain interface libraries and large language model tooling to listen to on-chain events in real time, apply AI analysis to transactions, smart contracts, and wallets, and execute programmable transactions via secure wallet management. It is intended for developers, traders, DeFi teams, auditors, and researchers who need intelligent automation and analytics on-chain. The codebase includes core modules for event listening, strategy execution, and configurable integrations. Configuration is driven by environment variables such as RPC endpoints, wallet/signing settings, and LLM API keys. The repo documents installation, basic run scripts, and a roadmap toward reinforcement learning and a UI dashboard.

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98
App URL
https://github.com/kratos-te/ai-agent
Github Repository
https://github.com/kratos-te/ai-agent/blob/main/README.md

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App Details

Features
Real-time blockchain event listening that captures on-chain activity across multiple networks. AI-based analysis of transactions, smart contracts, and wallets using LangChain and Transformers. Strategy module to train and execute custom agent behaviors and automated transactions. Smart wallet management with options for local keystore or external signer. Anomaly detection and risk scoring for fraud and suspicious activity. Predictive analytics for market moves to support trading strategies. Multi-chain support including Ethereum, Polygon, BSC, Solana, and Sui. Optional FastAPI server for integrations. Docker containerization for deployment and PostgreSQL for optional agent memory and persistence. Roadmap includes reinforcement learning loop and a UI dashboard.
Use Cases
The agent enables automated, intelligent on-chain workflows by continuously monitoring blockchain events and surfacing actionable insights. It helps detect anomalies and assign risk scores to transactions and wallets for real-time fraud detection and security monitoring. Traders and DeFi protocols can automate strategies and execute transactions based on predictive analytics and programmable behavior modules. Auditors and researchers gain tools for transaction and contract analysis at scale. Developers can extend the system using provided integrations such as ethers.js, solana.js, LangChain, and optional FastAPI and PostgreSQL components. Docker support simplifies deployment and environment-driven configuration allows secure connection to RPC nodes and LLM APIs. Planned RL and UI features aim to improve adaptivity and observability.

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