Swarms.rs is the core Rust runtime for executing swarm-based AI agent programs. It features a modular plugin system to integrate custom logic or AI models, a message-passing layer for peer-to-peer communication, and an asynchronous executor for scheduling agent behaviors. Together, these components allow developers to design, deploy, and scale complex decentralized agent networks for simulation, automation, and multi-agent collaboration tasks.

DevLooper is designed to simplify the end-to-end lifecycle of AI agent projects. With a single command you can generate boilerplate code for task-specific agents and step-by-step workflows. It leverages Modal’s cloud-native execution environment to run agents as scalable, stateless functions, while offering local run and debugging modes for fast iteration. DevLooper handles stateful data flows, periodic scheduling, and integrated observability out of the box. By abstracting infrastructure details, it lets teams focus on agent logic, testing, and optimization. Seamless integration with existing Python libraries and Modal’s SDK ensures secure, reproducible deployments across development, staging, and production environments.