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Swarms

A production-ready multi-agent orchestration framework that provides scalable runtimes and protocols for collaborative agents.

Detailed Introduction

Swarms is an enterprise-grade, production-ready multi-agent orchestration framework that provides scalable agent architectures, runtimes, and protocols. It exposes unified APIs and workflow abstractions to decompose complex tasks into collaborating agents, supports integrations with models, tools and multiple memory systems, and is compatible with the Model Context Protocol (MCP) for tool calling and distributed deployments.

Main Features

  • Production-ready infrastructure with observability, logging, and auditable execution records.
  • Multiple agent topologies: SequentialWorkflow, ConcurrentWorkflow, HierarchicalSwarm, MixtureOfAgents, and more.
  • AutoSwarmBuilder for automated agent generation and prompt engineering utilities.
  • Broad model and protocol integrations (OpenAI, Anthropic, Hugging Face) and support for external indexes/vector databases.

Use Cases

  • Decomposing complex business processes into collaborating agents for automation (research, content creation, financial analysis).
  • Multimodal retrieval and RAG-enabled Q&A with long-term memory and knowledge workflows.
  • Production orchestration of agents in hybrid cloud/edge deployments requiring high availability and horizontal scalability.

Technical Features

  • Supports concurrent execution, load balancing, and horizontal scaling for production throughput.
  • Pluggable tool and memory backends, including vector database integrations and multi-model providers.
  • Versioned configuration and execution traces for rollback, auditing and compliance.
  • Apache-2.0 open-source license with extensive examples and enterprise documentation.
Swarms
Resource Info
🤖 Agent Framework 🦾 Agents 🧩 MCP 🌱 Open Source