A comprehensive index of examples from the [Swarms Examples Repository](https://github.com/The-Swarm-Corporation/swarms-examples).
Welcome to the comprehensive Swarms Examples Index! This curated collection showcases the power and versatility of the Swarms framework for building intelligent multi-agent systems. Whether you're a beginner looking to get started or an advanced developer seeking complex implementations, you'll find practical examples to accelerate your AI development journey.
Additionally, we have more comprehensive examples available in [The Swarms Cookbook](https://github.com/The-Swarm-Corporation/Cookbook).
## What is Swarms?
Swarms is a cutting-edge framework for creating sophisticated multi-agent AI systems that can collaborate, reason, and solve complex problems together. From single intelligent agents to coordinated swarms of specialized AI workers, Swarms provides the tools and patterns you need to build the next generation of AI applications.
## What You'll Find Here
This index organizes **100+ production-ready examples** from our [Swarms Examples Repository](https://github.com/The-Swarm-Corporation/swarms-examples) and the main Swarms repository, covering:
- **Single Agent Systems**: From basic implementations to advanced reasoning agents
- **Multi-Agent Architectures**: Collaborative swarms, hierarchical systems, and experimental topologies
- **Industry Applications**: Real-world use cases across finance, healthcare, security, and more
- **Integration Examples**: Connect with popular AI models, tools, and frameworks
- **Advanced Patterns**: RAG systems, function calling, MCP integration, and more
## Getting Started
**New to Swarms?** Start with the [Easy Example](https://github.com/The-Swarm-Corporation/swarms-examples/blob/main/examples/agents/easy_example.py) under Single Agent Examples → Core Agents.
**Looking for comprehensive tutorials?** Check out [The Swarms Cookbook](https://github.com/The-Swarm-Corporation/Cookbook) for detailed walkthroughs and advanced patterns.
**Want to see real-world applications?** Explore the Industry Applications section to see how Swarms solves practical problems.
## Quick Navigation
- [Single Agent Examples](#single-agent-examples) - Individual AI agents with various capabilities
- [Multi-Agent Examples](#multi-agent-examples) - Collaborative systems and swarm architectures
- [Additional Resources](#additional-resources) - Community links and support channels
## Single Agent Examples
@ -20,6 +54,12 @@ Additionally, we have more comprehensive examples available in [The Swarms Cookb
| Azure | [Azure OpenAI Agent](https://github.com/The-Swarm-Corporation/swarms-examples/blob/main/examples/agents/settings/various_models/basic_agent_with_azure_openai.py) | Integration with Azure OpenAI services for enterprise-grade AI capabilities |
| Custom | [Custom Model Agent](https://github.com/The-Swarm-Corporation/swarms-examples/blob/main/examples/agents/settings/various_models/custom_model_with_agent.py) | Framework for integrating custom ML models into the agent architecture |
| Cerebras | [Cerebras Example](https://github.com/kyegomez/swarms/blob/master/examples/models/cerebas_example.py) | Integration with Cerebras AI platform for high-performance model inference |
| Claude | [Claude 4 Example](https://github.com/kyegomez/swarms/blob/master/examples/models/claude_4_example.py) | Anthropic Claude 4 model integration for advanced reasoning capabilities |
| Swarms Claude | [Swarms Claude Example](https://github.com/kyegomez/swarms/blob/master/examples/models/swarms_claude_example.py) | Optimized Claude integration within the Swarms framework |
| Lumo | [Lumo Example](https://github.com/kyegomez/swarms/blob/master/examples/models/lumo_example.py) | Lumo AI model integration for specialized tasks |
| VLLM | [VLLM Example](https://github.com/kyegomez/swarms/blob/master/examples/models/vllm_example.py) | High-performance inference using VLLM for large language models |
| Llama4 | [LiteLLM Example](https://github.com/kyegomez/swarms/blob/master/examples/models/llama4_examples/litellm_example.py) | Llama4 model integration using LiteLLM for efficient inference |
### Tools and Function Calling
| Category | Example | Description |
@ -30,6 +70,45 @@ Additionally, we have more comprehensive examples available in [The Swarms Cookb
| Full RAG | [Full Agent RAG Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/rag/full_agent_rag_example.py) | Complete RAG implementation with retrieval and generation |
| Pinecone | [Pinecone Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/rag/pinecone_example.py) | Vector database integration using Pinecone for semantic search |
### Reasoning and Decision Making
| Category | Example | Description |
|----------|---------|-------------|
| Agent Judge | [Agent Judge Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/reasoning_agent_examples/agent_judge_example.py) | Agent-based decision making and evaluation system |
| Reasoning Duo | [Reasoning Duo Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/reasoning_agent_examples/reasoning_duo_example.py) | Collaborative reasoning between two specialized agents |
### Vision and Multimodal
| Category | Example | Description |
|----------|---------|-------------|
| Image Batch | [Image Batch Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/vision/image_batch_example.py) | Batch processing of multiple images with vision capabilities |
| XML Output | [XML Output Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/utils/xml_output_example.py) | Structured XML output formatting for agent responses |
| CSV Agent | [CSV Agent Example](https://github.com/kyegomez/swarms/blob/master/examples/misc/csvagent_example.py) | CSV data processing and manipulation agent |
| Swarm Matcher | [Swarm Matcher Example](https://github.com/kyegomez/swarms/blob/master/examples/misc/swarm_matcher_example.py) | Agent matching and selection system |
### Third-Party Integrations
| Category | Example | Description |
@ -62,6 +141,70 @@ Additionally, we have more comprehensive examples available in [The Swarms Cookb
| Circular | [Circular Swarm](https://github.com/The-Swarm-Corporation/swarms-examples/blob/main/examples/structs/swarms/different_architectures/circular_swarm.py) | Ring topology for cyclic information flow between agents |
| Graph Workflow | [Graph Workflow Basic](https://github.com/kyegomez/swarms/blob/main/examples/structs/graph_workflow_basic.py) | Minimal graph workflow with two agents and one task |
| Group Chat | [Group Chat Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/groupchat/groupchat_examples/group_chat_example.py) | Multi-agent group chat system with turn-based communication |
| Group Chat Advanced | [Group Chat Advanced](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/groupchat/groupchat_examples/groupchat_example.py) | Advanced group chat with enhanced interaction capabilities |
| Mortgage Panel | [Mortgage Tax Panel](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/groupchat/groupchat_examples/mortgage_tax_panel_example.py) | Specialized panel for mortgage and tax discussions |
| Interactive Group Chat | [Interactive Group Chat](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/groupchat/interactive_groupchat_example.py) | Interactive group chat with real-time user participation |
| Dynamic Speaker | [Random Dynamic Speaker](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/groupchat/random_dynamic_speaker_example.py) | Dynamic speaker selection in group conversations |
| Interactive Speaker | [Interactive Speaker Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/interactive_groupchat_examples/interactive_groupchat_speaker_example.py) | Interactive speaker management in group chats |
| Medical Panel | [Medical Panel Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/interactive_groupchat_examples/medical_panel_example.py) | Medical expert panel for healthcare discussions |
| Stream Example | [Stream Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/interactive_groupchat_examples/stream_example.py) | Streaming capabilities in interactive group chats |
### Research and Deep Analysis
| Category | Example | Description |
|----------|---------|-------------|
| Deep Research | [Deep Research Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/deep_research_examples/deep_research_example.py) | Comprehensive research system with multiple specialized agents |
| Deep Research Swarm | [Deep Research Swarm](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/deep_research_examples/deep_research_swarm_example.py) | Swarm-based deep research with collaborative analysis |
| Scientific Agents | [Deep Research Swarm Example](https://github.com/kyegomez/swarms/blob/master/examples/demos/scient_agents/deep_research_swarm_example.py) | Scientific research swarm for academic and research applications |
### Routing and Decision Making
| Category | Example | Description |
|----------|---------|-------------|
| Model Router | [Model Router Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/mar/model_router_example.py) | Intelligent routing of tasks to appropriate model agents |
| Multi-Agent Router | [Multi-Agent Router Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/mar/multi_agent_router_example.py) | Advanced routing system for multi-agent task distribution |
| Majority Voting | [Majority Voting Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/majority_voting/majority_voting_example.py) | Consensus-based decision making using majority voting |
### Council and Collaborative Systems
| Category | Example | Description |
|----------|---------|-------------|
| Council Judge | [Council Judge Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/council/council_judge_example.py) | Council-based decision making with expert judgment |
| Mixture of Agents | [Mixture of Agents Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/mixture_of_agents_example.py) | Heterogeneous agent mixture for diverse task handling |
| Aggregate | [Aggregate Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/aggregate_example.py) | Aggregation of results from multiple agents |
### API and Integration
| Category | Example | Description |
|----------|---------|-------------|
| Swarms API | [Swarms API Example](https://github.com/kyegomez/swarms/blob/master/examples/multi_agent/swarms_api_examples/swarms_api_example.py) | API integration for Swarms multi-agent systems |
Kye Gomez
1 day ago