EthLisbon provides a ready-to-use autonomous agent architecture that interacts with Ethereum smart contracts to conduct auctions, bids, and trades automatically. It listens to on-chain events, processes data feeds off-chain, and executes customized strategies based on configurable parameters. The modular codebase allows developers to extend skills, integrate additional oracles, and deploy multiple agent instances. Retry and state-management mechanisms ensure resilience, while built-in logging and monitoring tools give real-time visibility into agent operations.

Inngest AgentKit provides a comprehensive framework for developing AI agents within a Node.js environment. It leverages Inngest’s event-driven architecture to trigger agent workflows based on external events such as HTTP requests, scheduled tasks, or webhook calls. The toolkit includes template rendering utilities for crafting dynamic responses, built-in state management to maintain context over sessions, and seamless integration with external APIs and language models. Agents can stream partial responses in real time, manage complex logic, and orchestrate multi-step processes with error handling and retries. By abstracting infrastructure and workflow concerns, AgentKit enables developers to focus on designing intelligent behaviors, reducing boilerplate code and accelerating deployment of conversational assistants, data-processing pipelines, and task automation bots.