Swarms
Enterprise Python library for orchestrating hundreds of concurrent AI agents
View on GitHubWhat it solves
Scaling from a multi-agent proof of concept to an enterprise workflow: running hundreds of specialized agents in parallel without writing custom concurrency infrastructure.
Overview
Swarms is built for large-scale workloads that need not two or three coordinated agents, but hundreds running in parallel. Core primitives: hierarchical swarms (a supervisor coordinates a pool of workers), sequential chains, concurrent graph networks, and spreadsheet-based agent configuration for non-engineers. Includes production telemetry, failure handling, and deployment guides aimed at enterprise workloads on Docker and Kubernetes.
Key facts
- Language
- Python
- License
- Apache 2.0
- Maturity
- Fast-moving
- Maintainer
- kyegomez
- Reviewed
- 2026-06-11
Where to start
The structs index maps every swarm topology (sequential, concurrent, hierarchical, graph) so you can pick the right pattern for your workload before writing any agent code.
docs/swarms/structs/index.mdTechnologies
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