swarms

The full-stack agent infrastructure platform. Build, deploy, and monetize agents at scale.

Our Mission

Building the infrastructure necessary for the multi-trillion dollar agent economy.

Our stack prioritizes performance, reliability, and scalability, serving as the foundation for teams shipping production-grade autonomous systems.

Products

One stack. End-to-end agent infrastructure.

Frameworks, interfaces, and cloud services to help you build your own multi-agent systems.

01 · Core Framework

Swarms Python

The original Swarms framework in Python with full backwards compatibility with LangChain, AutoGen, and other popular frameworks.

workflow.py
from swarms import Agent, SequentialWorkflow

# Agent 1: The Researcher
researcher = Agent(
    agent_name="Researcher",
    system_prompt="Your job is to research...",
    model_name="gpt-4o-mini",
)

# Agent 2: The Writer
writer = Agent(
    agent_name="Writer",
    system_prompt="Your job is to write...",
    model_name="gpt-4o-mini",
)

# Create workflow
workflow = SequentialWorkflow(
    agents=[researcher, writer]
)
final_post = workflow.run("AI history")

02 · Swarms Cloud

Swarms API

Build, deploy, and scale enterprise-grade multi-agent systems in the cloud

agent.py
import requests

payload = {
    "agent_config": {
        "agent_name": "Research Analyst",
        "description": "Expert in analyzing research data",
        "system_prompt": "You are a Research Analyst...",
        "model_name": "gpt-4o-mini",
        "max_tokens": 8192,
        "temperature": 0.7
    },
    "task": "Analyze the impact of AI on healthcare"
}

response = requests.post(
    "https://api.swarms.world/v1/agent/completions",
    headers={"x-api-key": "your-api-key"},
    json=payload
)

03 · Rust Framework

Swarms-RS

Ultra-fast, memory-safe, and production-ready multi-agent framework built in Rust for maximum performance and reliability.

main.rs
use swarms_rs::llm::provider::openai::OpenAI;
use swarms_rs::structs::concurrent_workflow::ConcurrentWorkflow;

#[tokio::main]
async fn main() -> Result<()> {
    let client = OpenAI::from_url(
        base_url, api_key
    ).set_model("deepseek-chat");

    let workflow = ConcurrentWorkflow::builder()
        .name("Trading Strategy")
        .agents(vec![...])
        .build();

    let result = workflow
        .run("BTC/USD").await?;
    Ok(())
}

04 · Buy & Sell Agents

Swarms Marketplace

Discover, buy, and sell agents, prompts, tools, MCP servers, and skills. Publish for free, keep 90% of every sale.

Swarms Marketplace: Buy & Sell Agents

05 · Agent Office

AgentHQ

AgentHQ makes agent orchestration fun, simple, and reliable. Hire real Claude and Codex agents, give them desks in a pixel art office, and watch every tool call stream live. Now in pre-beta, join the waitlist for early access.

AgentHQ: Agent Office

Built for Production

Enterprise-grade infrastructure.

Global availability, compliance certifications, and custom deployment options, built for the most demanding workloads.

Security

HIPAA compliant and ISO 27001 certified infrastructure with enterprise-grade security practices.

Custom deployments

Tailored agentic deployments for your specific requirements.

Reliability

99% uptime, 24/7 availability, and global presence across 4 major continents.

Monitoring & telemetry

Comprehensive monitoring and extensive telemetry stack for real-time observability.

Newsletter

Get the latest from Swarms.

Build with Swarms Cloud or discover agents in the Marketplace. Sign up and get $5 in free API credits.

Latest from the blog

Swarms Weekly Ecosystem Update [August 31 - September 6]: Swarms v15 Akira Ships, the USDC Competition Closes at $5M, and New MCP Tutorials
Company

Swarms Weekly Ecosystem Update [August 31 - September 6]: Swarms v15 Akira Ships, the USDC Competition Closes at $5M, and New MCP Tutorials

This week across the Swarms ecosystem: Swarms v15 Akira shipped with dynamic tool loading and a rebuilt autonomous agent harness, the USDC Competition closed with nearly $5M in trading volume and 3,500+ traders, the Marketplace passed 6,125 products from 720+ sellers, a new set of MCP tutorials covered DeepWiki, Exa, Firecrawl, Hugging Face, and Semgrep, and Swarms published guidance for staying online through a multi-provider frontier model outage.

Unique Agent Configuration Pages Are Live on Swarms Cloud
Product

Swarms Cloud gives each agent in your account a page of its own: activity and cost, the full system prompt, all 34 configuration fields with their live defaults, and a per-run view of how much of the model's context window each run actually filled.

Swarms v15 'Akira': Dynamic Tool Loading, a Real Agent Harness, and Typed Chat Turns
Engineering

Swarms v15 'Akira': Dynamic Tool Loading, a Real Agent Harness, and Typed Chat Turns

The complete technical changelog for Swarms v15, code-named Akira. A DynamicToolLoader defers tool schemas behind a searchable catalog so a fifty-tool agent sends one schema, the autonomous agent harness ships sixteen working built-in tools with an honest transcript and a mutable plan, every multi-agent structure now delivers context as typed chat turns instead of one flattened blob, and 27 dead modules are gone. Every new feature, improvement, and bug fix from July 29 to September 1, 2026, day by day.

Community

Join the swarm.

Join thousands of engineers building multi-agent systems together: discussions on agent architectures, research papers, live events, and direct access to the team behind Swarms.

Ready to build?

Sign up now and get $5 in free API credits. Join the marketplace and start building with Swarms.