swarms

Why we included this project

Swarms is a Python framework for orchestrating multiple AI agents, built on the observation that serious agent work rarely fits in a single model call. It packages agents as reusable components, each pairing an LLM with tools and memory, and lets you compose them into sequential, concurrent, or hierarchical workflows without hand-rolling the coordination logic. Teams moving past single-script demos can lean on the prebuilt architectures for pipelines like research-then-writing, report generation, or parallel batch tasks. Swarms also supports protocols such as MCP, so agents can reach external tools without custom wiring, and it stays compatible with other agent frameworks if you are migrating an existing stack. The documented examples give developers a quick way to decide whether this orchestration model suits their workloads.