Swarms Framework
An enterprise-grade, production-ready framework for orchestrating multiple AI agents, with prebuilt sequential, concurrent and hierarchical multi-agent architectures.
Swarms is a multi-agent orchestration framework providing a suite of production-ready, prebuilt multi-agent architectures, including sequential, concurrent and hierarchical systems, alongside backward compatibility with other agent frameworks and interoperability with protocols such as MCP, x402 and skills.
An Agent is the framework's fundamental building block -- an autonomous entity powered by an LLM, tools and memory -- created with a chosen model, an interaction-count limit or an "auto" mode that lets the agent decide for itself when a task is complete rather than stopping after a fixed number of iterations. Auto mode is recommended for open-ended research or iterative-refinement tasks, while a fixed iteration count suits latency- or cost-sensitive production pipelines with a well-defined number of steps.
It installs via pip, uv or poetry, or from source, is configured through environment variables for provider API keys and a workspace directory, and documents Model Context Protocol integration for connecting agents to external tools.