Overview

This page is the master catalog of every runnable example in the Swarms documentation, organized by feature. Each entry links to a full walkthrough with copy-paste code. If you’re looking for the broader index of community and repository examples, see the Examples Index.

Browse by Category

Category	What it covers
Basics	Your first agent, tools, vision, and streaming
Single-Agent Capabilities	Memory, autonomy, context management, research
Multi-Agent Architectures	Sequential, concurrent, hierarchical, group chat, routing
Model Providers	Run agents on any LLM provider
Voice Agents	Speech-enabled agents with TTS and STT
Tools & Integrations	Browser use, computer use, web search, MCP, payments
Applications	Full end-to-end swarms for real-world domains
Use Cases	Reusable multi-stage workflow patterns
Finance	Trading, prediction markets, and financial research
Research & Papers	Swarms implementations of research papers
Deployment	Ship agents to production
CLI	Drive agents from the command line

Basics

Start here. These cover the essentials of building and running a single agent.

Example	Description	Link
Basic Agent	Create your first autonomous agent with Swarms	View Example
Agent with Tools	Enhance agents with external tools and function calling	View Example
Vision Agent	Create agents that process images and multimodal content	View Example
Streaming Responses	Stream agent outputs in real-time for better UX	View Example
Agent Streaming Example	Real-time token streaming with `run_stream` and `arun_stream`	View Example

Single-Agent Capabilities

Advanced patterns for a single agent — persistence, autonomy, and large-context handling.

Example	Description	Link
Agent Streaming	Stream agent responses token by token for an interactive UX	View Example
Advanced Research	Orchestrator-worker research system with parallel execution and LLM-as-judge	View Example
Autonomous Looper with Bash	An autonomous loop that runs bash commands for long-horizon tasks	View Example
Autonomous Looper with Tools	An autonomous looping agent that uses tools to iteratively reach a goal	View Example
Persistent Memory	Persist interaction history to disk and resume across restarts	View Example
Context Compression	Summarize memory near the context limit while archiving the full transcript	View Example

Multi-Agent Architectures

Coordinate many agents. These map directly to the core Swarms multi-agent structures.

Example	Description	Link
Sequential Workflow	Agents execute tasks in a linear chain	View Example
Sequential Workflow Streaming	Real-time token streaming across a pipeline of agents	View Example
Concurrent Workflow	Run multiple agents simultaneously for maximum efficiency	View Example
Mixture of Agents (MoA)	Run expert agents in parallel and synthesize their outputs	View Example
Hierarchical Swarm	Director-worker pattern for complex project coordination	View Example
Group Chat	Asynchronous, self-selecting agent group chat for debate and reasoning	View Example
Swarm Router	Switch between any multi-agent architecture by changing one parameter	View Example
Social Swarm Patterns	Broadcast, circular, mesh, grid, star, pyramid, and aggregate patterns	View Example
Advisor Swarm	Pair a cheap executor model with a powerful advisor consulted on-demand	View Example
Debate Swarm Quickstart	Specialized agents argue and converge on conclusions	View Example
AOP Medical Swarm	Medical-grade multi-agent system using the Agent Orchestration Protocol	View Example
GroupChat Internals	Deep technical analysis of the async self-selecting GroupChat module	View Example

Model Providers

Run Swarms agents on any LLM provider. See the Model Providers guide for the full reference.

Provider	Description	Link
Anthropic	Claude models — Fable 5, Opus, Sonnet, and Haiku	View Example
Claude Fable 5	Anthropic Claude Fable 5 and Mythos 5 in Swarms	View Example
OpenAI	GPT and o-series models — GPT-5.4, GPT-4.1, o3, o3-mini	View Example
Gemini	Google Gemini — 2.5 Pro, 2.5 Flash, and Flash-Lite	View Example
Groq	Ultra-fast inference — Llama, GPT-OSS, DeepSeek R1, Kimi K2	View Example
Cerebras	The fastest open-model inference — 1000+ tokens/sec	View Example
DeepSeek	DeepSeek models, including the DeepSeek Reasoner (R1)	View Example
xAI (Grok)	xAI Grok models — Grok 4 and earlier	View Example
Ollama	Local models with no API key and no per-token cost	View Example
vLLM	Self-host open-source models for high-throughput production inference	View Example
OpenRouter	One API key, hundreds of models across providers	View Example
OpenRouter Tutorial	Single agents, group chat, and concurrent workflows via OpenRouter	View Example
Azure OpenAI	Enterprise-grade GPT models through Microsoft Azure	View Example

Voice Agents

Speech-enabled agents using streaming TTS, STT input, and per-agent voices. See the Voice Agents Overview.

Example	Description	Link
Basic Speech Agent	Run an agent, then narrate its final response with text-to-speech	View Example
Streaming Voice Agent	Speak each sentence the moment the LLM produces it	View Example
Autonomous Voice Agent	An autonomous agent that narrates its plan, tool use, and summary	View Example
Voice Debate	Two agents debate turn-by-turn, each with a distinct voice	View Example
Hierarchical Speech Swarm	Director and workers each speak with a distinct voice	View Example

Tools & Integrations

Connect agents to the outside world — browsers, computers, search, MCP servers, and payments.

Example	Description	Link
Computer Use	Give an agent safe, sandboxed read/search/edit/shell access	View Example
Browser Use	Drive a real browser to automate web workflows end to end	View Example
Web Scraper Agents	Navigate sites and extract structured data in parallel	View Example
Web Search with Exa	Give agents real-time web search via the Exa API	View Example
Firecrawl Tool	Crawl entire websites and extract structured content	View Example
MCP with DataStax	Connect agents to Astra DB through the Model Context Protocol	View Example
x402 Discovery Query	Discover and query x402-enabled services	View Example
x402 Payment Integration	Let agents transact natively for paid services	View Example

Applications

Complete, end-to-end swarms built for a specific domain.

Example	Description	Link
Marketing Team Swarm	Strategy, copy, design, and analytics handled by agents	View Example
Hiring Swarm	Source candidates, screen resumes, run technical evaluations	View Example
Job Finding Swarm	Discover, filter, and apply to jobs matching a profile	View Example
M&A Swarm	Deal sourcing, diligence, and valuation for mergers & acquisitions	View Example
Real Estate Swarm	Research, valuation, and deal analysis for properties	View Example
Smart Database Swarm	An agent-powered database that queries and reasons over data	View Example

Use Cases

Reusable multi-stage workflow patterns you can adapt to your own domain.

Example	Description	Link
Research Team	An autonomous team that collaborates on comprehensive reports	View Example
Content Creation Pipeline	Ideation, writing, editing, and review stages	View Example
Data Analysis Swarm	Collect, analyze, visualize, and report on datasets	View Example
Financial Analysis System	Market analysis, risk assessment, and investment recommendations	View Example

Finance

Trading, prediction markets, and financial research.

Example	Description	Link
Gold ETF Research	Research and analyze gold ETFs with a financial-analysis swarm	View Example
Agentic Trading with Gemini	An autonomous crypto trading system using the Gemini exchange API	View Example
Prediction Markets: Polymarket	Agents that discover events, reason, and bet on Polymarket	View Example
Prediction Markets: Kalshi	Agents that discover events, reason, and bet on Kalshi	View Example

Research & Paper Implementations

Swarms implementations of influential AI research papers.

Example	Description	Link
Can AI Agents Agree?	The Byzantine consensus game from Berdoz, Rugli & Wattenhofer	View Example
Open Agent Bazaar	Measuring economic alignment in multi-agent marketplaces	View Example
Paper Implementations Index	The full list of paper implementations	View Index

Deployment

Ship your agents to production.

Example	Description	Link
Deployment Overview	Choose the right deployment strategy for your agents	View Guide
FastAPI Agent API	Deploy agents as REST endpoints with FastAPI and Uvicorn	View Example
Google Cloud Run	Deploy a containerized agent REST API with automatic scaling	View Example
Cloudflare Workers	Deploy cron-driven agents on Cloudflare’s global edge network	View Example
Phala TEE Deployment	Deploy inside a Trusted Execution Environment with on-chain attestation	View Example

CLI

Drive agents entirely from the command line.

Example	Description	Link
CLI Quickstart Tutorial	Build a multi-agent research-and-writing workflow using only the CLI	View Example
Chat Command	Launch an interactive chat session with an agent	View Example
Multi-Agent CLI Quickstart	Spin up a multi-agent system from the CLI in under a minute	View Example

More Overviews

Prefer a narrower starting point? These curated overviews go deeper on a single theme:

Index

Basic Examples

Model Providers

Single Agent

Multi-Agent Examples

Applications

Research

Technical Analysis

Use Cases

Finance

Voice Agents

Integrations

Deployment

CLI

Browse by Category

Basics

Single-Agent Capabilities

Multi-Agent Architectures

Model Providers

Voice Agents

Tools & Integrations

Applications

Use Cases

Finance

Research & Paper Implementations

Deployment

CLI

More Overviews

​Browse by Category

​Basics

​Single-Agent Capabilities

​Multi-Agent Architectures

​Model Providers

​Voice Agents

​Tools & Integrations

​Applications

​Use Cases

​Finance

​Research & Paper Implementations

​Deployment

​CLI

​More Overviews

Browse by Category

Basics

Single-Agent Capabilities

Multi-Agent Architectures

Model Providers

Voice Agents

Tools & Integrations

Applications

Use Cases

Finance

Research & Paper Implementations

Deployment

CLI

More Overviews