swarms

The framework provides architectures for deploying agent networks at scale sequential pipelines, concurrent swarms, hierarchical organizations with agent supervisors, and mixture-of-agents ensembles with production infrastructure including agent memory, tool registries, logging, error handling, and horizontal scaling across compute resources.

The framework includes a library of pre-built agent types specialized for common enterprise tasks research agents that browse and synthesize information, coding agents that write and execute code, data analysis agents that query and interpret structured data, and communication agents that draft and route messages.

Custom agents are defined by providing a system prompt, tool set, and memory configuration, with the orchestration layer handling inter-agent communication, task routing, and result aggregation automatically.

Swarms is open-source under the MIT license and targets AI engineering teams building production multi-agent systems for business process automation, research acceleration, software development assistance, and customer operations.

The framework includes deployment tooling for Kubernetes, Docker Compose, and cloud functions, with observability integrations for logging and tracing each agent step in production.

It is designed to scale from single-agent workflows to swarms of hundreds of coordinated agents processing tasks in parallel across distributed infrastructure.