Swarms
Build, orchestrate, and deploy powerful multi-agent AI systems with an open-source framework and production-ready infrastructure.
Website
Category
AI Agent Builders
Pricing
Free Plan & Paid Plans
Overview
Swarms is a multi-agent AI framework and platform designed to help developers build, orchestrate, deploy, and scale AI agent systems. The platform provides tools for creating individual AI agents and combining them into coordinated workflows where multiple specialized agents can work together on complex tasks.
The Swarms ecosystem includes an open-source Python framework, a hosted API, Rust tooling, cloud infrastructure, and an AI agent marketplace. Developers can build and run agents on their own infrastructure or use Swarms’ hosted services for managed multi-agent workloads.
Swarms supports a wide range of orchestration patterns, including sequential workflows, concurrent workflows, hierarchical swarms, group conversations, mixture-of-agents systems, and other specialized multi-agent architectures.
The platform is designed for developers, AI engineers, startups, and enterprises that want to move beyond simple AI chatbots and build production-oriented agentic applications.
Tool Information
| Field | Details |
|---|---|
| Name | Swarms |
| Category | AI Agent Builders |
| Type | Multi-Agent AI Framework & Platform |
| Developer | Swarms |
| Deployment | Cloud / Self-Hosted |
| Platform | Python, Rust, REST API |
| AI Agents | Yes |
| Multi-Agent Systems | Yes |
| Agent Orchestration | Yes |
| RAG & Memory | Yes |
| Tool Calling | Yes |
| MCP Support | Yes |
| Model Integrations | Yes |
| Open Source | Yes |
| Official Website | https://www.swarms.ai/ |
Key Features
Multi-Agent Orchestration
Create AI agent teams that can collaborate, delegate tasks, process information, and combine results.
Capabilities
- Sequential workflows
- Concurrent workflows
- Hierarchical swarms
- Group chat
- Mixture of Agents
- Majority voting
- Agent routing
- Agent delegation
- Multi-agent collaboration
Swarms Python Framework
Use the open-source Python framework to create AI agents and multi-agent workflows directly inside applications.
Features
- Agent creation
- Multiple swarm architectures
- Workflow composition
- Shared state
- Memory
- Tool integration
- Structured outputs
- MCP support
- Telemetry
The framework is released under the Apache 2.0 license and can be run on a developer’s own infrastructure.
AI Model Integration
Connect agents with a broad selection of AI models and providers.
Advantages
- Multiple model providers
- Open-source models
- Local models
- OpenAI-compatible endpoints
- Model switching
- Flexible model selection
Swarms supports models and providers including OpenAI, Anthropic, Google, Groq, DeepSeek, Cohere, xAI, OpenRouter, Ollama, vLLM, Azure, AWS Bedrock, and other OpenAI-compatible endpoints.
Tools & Function Calling
Give AI agents access to external tools so they can retrieve information and perform actions.
Capabilities
- Function calling
- Custom tools
- Web search
- Web scraping
- Code execution
- Document processing
- Structured outputs
- External API connections
Memory & RAG
Provide agents with access to information that can persist across tasks and conversations.
Features
- Agent memory
- Shared state
- Vector-based retrieval
- RAG workflows
- Context management
- Knowledge retrieval
MCP Support
Connect AI agents with external tools and services using the Model Context Protocol.
Use Cases
- External applications
- Internal tools
- MCP servers
- Business systems
- Custom integrations
- Data sources
Swarms API
Use the hosted Swarms API to build and deploy multi-agent systems without managing the underlying infrastructure.
Benefits
- Hosted agent orchestration
- REST API
- Multiple swarm architectures
- Large model selection
- Agent workflows
- Usage monitoring
- Production infrastructure
The API provides SDKs for Python, TypeScript/Node, Go, and Java.
Swarms Marketplace
Discover, buy, sell, and publish AI agents, prompts, tools, MCP servers, and skills through the Swarms Marketplace.
Features
- AI agent marketplace
- Prompt marketplace
- Tool marketplace
- MCP server listings
- Community-created agents
- Agent publishing
- Agent monetization
Creators can publish products and earn revenue from marketplace sales.
Production Infrastructure
Swarms provides infrastructure aimed at running multi-agent systems at scale.
Features
- High-concurrency execution
- Multi-region infrastructure
- Telemetry
- Structured logging
- Agent tracing
- Performance monitoring
- Automatic retries
- Enterprise deployment options
Use Cases
AI Research
Create teams of AI agents that research topics, analyze information, compare findings, and produce consolidated results.
Financial Analysis
Build multi-agent workflows for market research, financial analysis, risk assessment, and other finance-related tasks.
Software Development
Use specialized agents for coding, debugging, testing, code review, documentation, and development workflows.
Business Automation
Automate complex business processes by assigning different tasks to specialized AI agents.
Content Creation
Create multi-agent workflows where agents can research, write, review, edit, and optimize content.
Enterprise AI
Build customized multi-agent systems for internal business processes, knowledge management, research, and operations.
AI Decision Support
Use multiple agents to analyze information from different perspectives and combine their findings into a final result.
How Swarms Works
Swarms allows developers to create AI agents and organize them into different swarm architectures depending on the task.
Typical Workflow
- Create one or more AI agents
- Define each agent’s role and instructions
- Select an AI model
- Connect tools and external services
- Choose a swarm architecture
- Provide the task
- Allow agents to collaborate
- Combine or evaluate the results
- Monitor and optimize the workflow
Developers can use sequential workflows for step-by-step tasks, concurrent workflows for parallel processing, hierarchical architectures for delegation, or other specialized swarm patterns for more complex applications.
Integrations
Supported Workflows
- OpenAI
- Anthropic
- Groq
- DeepSeek
- Cohere
- xAI
- OpenRouter
- Ollama
- vLLM
- Azure
- AWS Bedrock
- MCP servers
- REST APIs
- External tools
- Vector databases
- Custom applications
Advantages
- Open-source multi-agent framework
- Production-focused architecture
- Multiple agent orchestration patterns
- Python and Rust support
- Hosted API
- Large selection of AI models
- Tool and function calling
- Memory and RAG capabilities
- MCP support
- Built-in telemetry
- High-concurrency support
- Self-hosting options
- Enterprise deployment
- AI agent marketplace
- Multiple ways to deploy agents
Limitations
- Primarily designed for developers and technical teams
- Advanced workflows require programming knowledge
- Multi-agent systems can be complex to design and maintain
- Running multiple agents can increase model and infrastructure costs
- Production deployments may require additional monitoring and engineering
- Hosted API usage is metered
- Advanced infrastructure and enterprise capabilities require paid plans
Pricing
Free Plan
Swarms provides a free option for getting started with AI agent development and API usage.
The current free tier includes:
- $0 monthly subscription
- Pay-per-use credits
- 100 requests per minute
- 1,200 requests per day
- Up to 200K tokens per agent
- Marketplace access
- Community support
Pro Plan
The Pro plan costs $19.99 per month and adds higher capabilities for professional workloads.
Features include:
- Global availability zones
- Additional multi-agent architectures
- Accelerated hardware
- API telemetry
- Priority queue access
- Pro models
- Premium endpoints
Premium Plan
The Premium plan costs $100 per month or $1,020 per year.
Features include:
- 2,000 requests per minute
- 100,000 requests per day
- Up to 2M tokens per agent
- Up to 500 agents per batch
- Premium models
- SOC 2 compliance
- Priority region routing
- 24/7 email and Discord support
Enterprise
Enterprise plans provide dedicated infrastructure and additional deployment and support options.
Features include:
- Custom rate limits
- Dedicated infrastructure
- On-premise deployment
- VPC deployment
- Custom SLAs
- Dedicated engineering support
- Custom agent development
- White-label options
Swarms also uses usage-based pricing for API operations and token consumption.
Visit the official website for the latest pricing information.
Company Information
| Field | Details |
|---|---|
| Product Name | Swarms |
| Company | Swarms |
| Category | AI Agent Builders |
| Industry | Artificial Intelligence |
| Product Type | Multi-Agent AI Framework & Platform |
| Deployment | Cloud / Self-Hosted |
| Target Audience | Developers, AI Engineers, Startups, Enterprises |
| Official Website | https://www.swarms.ai/ |
Frequently Asked Questions
What is Swarms?
Swarms is a multi-agent AI framework and platform for building, orchestrating, deploying, and scaling AI agents that can collaborate on complex tasks.
Who should use Swarms?
Swarms is primarily designed for developers, AI engineers, startups, technical teams, and enterprises building multi-agent AI applications.
Can Swarms build multi-agent systems?
Yes. Multi-agent orchestration is the core focus of Swarms. It supports sequential, concurrent, hierarchical, group-chat, mixture-of-agents, and other swarm architectures.
What programming languages does Swarms support?
The main Swarms framework is available in Python. The ecosystem also includes Rust tooling and hosted APIs that can be accessed from other programming environments.
Does Swarms support different AI models?
Yes. Swarms supports a large selection of AI models and providers, including OpenAI, Anthropic, Google, DeepSeek, Groq, OpenRouter, Ollama, Azure, AWS Bedrock, and other compatible endpoints.
Is Swarms free?
Yes. The Swarms framework is open source and can be used without a software license fee. Swarms also provides a free hosted API tier, while higher usage limits, premium features, and enterprise infrastructure require paid plans.
