Swarms is an open-source framework for orchestrating swarms of AI agents — multiple LLMs that plan, debate and execute work together. It provides production-oriented multi-agent patterns in pure Python, so developers can build systems where specialized agents collaborate instead of relying on a single model call. The project has about 7,300 stars on GitHub and is actively developed in 2026.
The framework ships dozens of ready-made swarm architectures: sequential workflows, concurrent agent pools, group chats, mixture-of-agents ensembles, hierarchical teams, majority voting and graph-based flows, plus building blocks such as AgentRearrange and Tree-of-Thoughts style reasoning structures. Agents can be given tools, memory and structured outputs, and Swarms connects to models from OpenAI, Anthropic and many other providers, as well as local models. It is designed for enterprise workloads — the project emphasizes reliability features, logging, and integration with existing Python stacks — and common applications include research automation, customer support teams, financial analysis pipelines and content operations. Around the framework there is a broader platform: a marketplace of agents and prompts, and hosted infrastructure under the Swarms brand. Documentation lives at docs.swarms.world, with examples ranging from a two-agent workflow to large autonomous organizations of agents.
The Swarms framework is free and open source under the Apache-2.0 license. The team also offers paid hosted products, including the Swarms cloud platform and marketplace services, for teams that want managed infrastructure.
Swarms is for Python developers and AI teams building multi-agent systems — research assistants, support automation, analysis pipelines — who want proven orchestration patterns instead of wiring agents together from scratch.