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.

Swarms is a developer-focused framework enabling the creation, orchestration, and execution of multi-agent AI workflows. You define agents with specific roles, configure their behavior via LLM prompts, and link them to external tools or APIs. Swarms manages inter-agent communication, task planning, and memory persistence. Its plugin architecture allows seamless integration of custom modules—such as retrievers, databases, or monitoring dashboards—while built-in connectors support popular LLM providers. Whether you need coordinated data analysis, automated customer support, or complex decision-making pipelines, Swarms provides the building blocks to deploy scalable, autonomous agent ecosystems.