onChain-agent provides a comprehensive toolset for building self-driving blockchain agents powered by AI. It continuously listens to on-chain events such as token transfers, governance proposals, or price feeds, then uses integrated large language models to interpret data, generate decision plans, and trigger transactions. The framework includes configurable strategy templates for DeFi arbitrage, market making, liquidity provision, and governance voting. It manages private keys securely, ensures risk checks, and logs all activities for auditability. Developers extend functionality via plugin modules supporting custom chains, data oracles, and advanced AI models. Real-time monitoring dashboards and alerts help users track performance.

The StarkNet AI Transaction Simulator is a web-based application that uses advanced AI models to replicate StarkNet network behavior and simulate user-defined transactions. It forecasts gas usage, potential reverts, and contract state changes by interpreting transaction parameters through machine learning. Users can iteratively adjust inputs, explore alternative execution paths, and verify expected outcomes before deployment. The platform supports multi-step contract interactions, token transfers, and DeFi operations, providing detailed logs and AI-driven recommendations to streamline development and audit processes.