GitHub Stars
0
Downloads
1.7M+
Community Members
16.0K+
Powerful Agent Architectures
Choose from multiple swarm architectures to build your AI applications
from swarms import Agent, SequentialWorkflow
from swarm_models import Anthropic
# Initialize agents
agent1 = Agent(
agent_name="Blog generator",
system_prompt="Generate a blog post",
llm=Anthropic(),
max_loops=1
)
agent2 = Agent(
agent_name="Summarizer",
system_prompt="Summarize the blog post",
llm=Anthropic(),
max_loops=1
)
# Create Sequential workflow
workflow = SequentialWorkflow(
agents=[agent1, agent2],
max_loops=1
)
# Run workflow
output = workflow.run(
"Generate a blog post on AI agents."
)Neural Architecture
Build complex neural networks with multiple agent interactions
Flexible Workflows
Create sequential or parallel agent workflows with ease
Multi-Agent Systems
Orchestrate thousands of agents working in harmony
High Performance
Optimized for speed and efficiency at scale
Comprehensive Feature Set
Everything you need to build, deploy, and scale sophisticated AI agent systems
Enterprise Architecture
Production-ready infrastructure built for reliability
Features
- Production-Ready Infrastructure
- High Reliability Systems
- Modular Design
- Comprehensive Logging
Benefits
- Reduced downtime
- Easier maintenance
- Better debugging
- Enhanced monitoring
Agent Orchestration
Advanced agent management and workflow systems
Features
- Hierarchical Swarms
- Parallel Processing
- Sequential Workflows
- Graph-based Workflows
- Dynamic Agent Rearrangement
Benefits
- Complex task handling
- Improved performance
- Flexible workflows
- Optimized execution
Integration Capabilities
Extensive integration options and customization
Features
- Multi-Model Support
- Custom Agent Creation
- Extensive Tool Library
- Multiple Memory Systems
Benefits
- Provider flexibility
- Custom solutions
- Extended functionality
- Enhanced memory management
Scalability
Built to scale with your needs
Features
- Concurrent Processing
- Resource Management
- Load Balancing
- Horizontal Scaling
Benefits
- Higher throughput
- Efficient resource use
- Better performance
- Easy scaling
Developer Tools
Comprehensive toolkit for rapid development
Features
- Simple API
- Extensive Documentation
- Active Community
- CLI Tools
Benefits
- Faster development
- Easy learning curve
- Community support
- Quick deployment
Security Features
Enterprise-grade security and monitoring
Features
- Error Handling
- Rate Limiting
- Monitoring Integration
- Audit Logging
Benefits
- Improved reliability
- API protection
- Better monitoring
- Enhanced tracking
Advanced Features
Cutting-edge AI capabilities
Features
- SpreadsheetSwarm
- Group Chat
- Agent Registry
- Mixture of Agents
Benefits
- Mass agent management
- Collaborative AI
- Centralized control
- Complex solutions
Provider Support
Multiple provider integrations
Features
- OpenAI
- Anthropic
- ChromaDB
- Custom Providers
Benefits
- Provider flexibility
- Storage options
- Custom integration
- Vendor independence
Production Features
Built for production environments
Features
- Automatic Retries
- Async Support
- Environment Management
- Type Safety
Benefits
- Better reliability
- Improved performance
- Easy configuration
- Safer code
Use Case Support
Ready for any industry or use case
Features
- Task-Specific Agents
- Custom Workflows
- Industry Solutions
- Extensible Framework
Benefits
- Quick deployment
- Flexible solutions
- Industry readiness
- Easy customization
Industry Use Cases
Discover how Swarms can transform your industry with powerful AI agent solutions
Finance
Transform financial operations with AI
- Automated trading strategies
- Risk assessment and management
- Fraud detection systems
- Portfolio optimization
- Market sentiment analysis
Insurance
Revolutionize insurance processes
- Claims processing automation
- Risk modeling and pricing
- Policy recommendation
- Fraud detection
- Customer service automation
Healthcare
Enhance patient care with AI
- Medical diagnosis assistance
- Treatment planning
- Patient data analysis
- Drug discovery
- Healthcare workflow optimization
Marketing
Optimize marketing strategies
- Content generation
- Campaign optimization
- Customer segmentation
- Market trend analysis
- Personalized recommendations
Real Estate
Transform property management
- Property valuation
- Market analysis
- Lead qualification
- Document processing
- Investment recommendations
Logistics
Streamline supply chain operations
- Route optimization
- Inventory management
- Demand forecasting
- Fleet management
- Delivery scheduling
Education
Enhance learning experiences
- Personalized learning paths
- Content generation
- Student performance analysis
- Automated grading
- Course recommendations
Manufacturing
Optimize production processes
- Predictive maintenance
- Quality control
- Supply chain optimization
- Production scheduling
- Resource allocation
Environmental
Support sustainability efforts
- Climate modeling
- Resource optimization
- Environmental monitoring
- Impact assessment
- Sustainability planning
Legal
Streamline legal processes
- Document analysis
- Case research
- Contract review
- Legal research
- Compliance monitoring
Complete Ecosystem
A comprehensive suite of tools and libraries for building sophisticated AI systems
Swarms Tools
The ultimate package for integrating cutting-edge APIs into Python functions with seamless multi-agent system compatibility
Swarm Models
A comprehensive collection of pre-trained models and model management utilities for AI agents
Swarms Memory
Advanced memory management system for AI agents, enabling persistent storage and retrieval of information
More Libraries
Discover our growing ecosystem of tools and libraries designed to enhance your AI development workflow
New libraries and tools coming soon to expand the Swarms ecosystem.
Swarm Architectures
Choose from multiple swarm architectures to build sophisticated AI systems
Sequential Workflow
Chain multiple agents together where output from one becomes input for another
workflow = SequentialWorkflow(
agents=[agent1, agent2],
max_loops=1
)Agent Rearrange
Dynamically rearrange agents in parallel or sequential configurations
system = AgentRearrange(
agents=[director, worker],
flow="Director -> Worker"
)Mixture of Agents
Combine multiple agents working in parallel with result aggregation
swarm = MixtureOfAgents(
name="Mixed Swarm",
agents=agents,
layers=3
)Join Our Community
Connect with other developers, share your projects, and help shape the future of AI agent orchestration