Agent Swarm is a self-hosted multi-agent orchestration system that positions itself as an agentic operating system for companies. It uses a lead agent to coordinate and delegate tasks to specialized worker agents, allowing complex workflows to be broken into manageable subtasks. The system includes shared memory so agents can access common context, integrations with external tools and APIs, scheduling capabilities for time-based execution, and review gates to validate agent outputs before they are finalized. Because it is open source and runs on your own infrastructure, it offers full control over data, execution environment, and customization. This makes it suitable for organizations that need collaborative AI workflows without relying on third-party managed services.
Solves
Agent Swarm solves the challenge of coordinating multiple AI agents to work together on complex tasks by providing a lead-worker architecture with shared memory, tool integrations, scheduling, and review gates. This reduces the need to build custom orchestration logic from scratch and enables reliable, auditable multi-step AI workflows that can be hosted privately.