Swarms is an enterprise-grade, production-ready framework for orchestrating multi-agent systems. It empowers developers to build complex, collaborative AI workflows for diverse applications, from financial analysis to medical diagnosis.

How It Works

Swarms provides a modular architecture where individual Agent objects can be combined into various swarm structures like SequentialWorkflow, ConcurrentWorkflow, MixtureOfAgents, GraphWorkflow, and AgentRearrange. These structures define how agents interact, share information, and coordinate tasks. Agents themselves fuse LLMs, tools, and memory capabilities, allowing for customizable behavior and complex task execution. The framework supports features like RAG integration, tool usage, structured outputs, and multi-modal capabilities.

Quick Start & Requirements

• Install via pip: $ pip install -U swarms
• Requires Python 3.10 or above.
• Set environment variables for API keys (e.g., OPENAI_API_KEY, ANTHROPIC_API_KEY).
• Configure workspace directory: export WORKSPACE_DIR="agent_workspace"
• Official documentation: docs.swarms.world
• Get started guide: Get Started

Highlighted Details

• Production-Ready: Built with enterprise architecture, high reliability, and modular design.
• Diverse Orchestration: Supports hierarchical, parallel, sequential, graph-based, and dynamic agent rearrangement workflows.
• Extensive Integrations: Multi-model support, custom agent creation, various memory systems, and provider flexibility (OpenAI, Anthropic, etc.).
• Advanced Features: Includes RAG integration, tool usage, structured outputs, multi-modal agents, and local agent capabilities.

Maintenance & Community

• Active development with a growing community.
• Community channels: Discord, Twitter, LinkedIn, YouTube.
• Contribution guidelines and roadmap discussions available.

Licensing & Compatibility

• License: APACHE 2.0.
• Permissive license suitable for commercial use and integration into closed-source projects.

Limitations & Caveats

• While aiming for production-readiness, specific swarm types or advanced features might still be under active development or require further refinement.
• Performance and reliability can depend on the underlying LLM providers and configurations.