Introducing
The Swarms Cloud
The ultimate multi-agent management system
Build, deploy, and manage fleets of AI agents from one place. Hierarchical, parallel, and collaborative workflows run on a high-efficiency runtime optimized for concurrency — with full observability over every execution, token, and dollar.
- 20+
- API endpoints
- 16
- Swarm architectures
- 4
- Global regions
- 50%
- Night-mode discount
What is The Swarms Cloud
One platform for the entire agent lifecycle
Most teams stitch agents together from scripts, queues, and dashboards that were never built for AI workloads. The Swarms Cloud replaces that patchwork with a single system: a production API with 20+ endpoints for agents, swarms, deep research, and reasoning — and a management console that shows you exactly what your fleet is doing and what it costs.
- Single agents, batch fleets, and 16 swarm architectures
- Built-in tools: web search, MCP, vision, function calling
- Execution history, rate-limit telemetry, and cost per run
- OpenAI-compatible endpoint for drop-in migration
New to Swarms? Visit the API documentation → docs.swarms.ai
curl https://api.swarms.world/v1/swarm/completions \
-H "x-api-key: $SWARMS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "research-pipeline",
"swarm_type": "HierarchicalSwarm",
"task": "Produce a competitive analysis of the EV market",
"agents": [
{ "agent_name": "Director", "model_name": "gpt-5.4" },
{ "agent_name": "Researcher", "model_name": "claude-sonnet-4-6" },
{ "agent_name": "Analyst", "model_name": "gpt-5.4" }
]
}'Capabilities
Everything an agent fleet needs, behind one API
From a single completion to batched research sessions — every capability is a first-class endpoint.
Agents & swarms
Run single agents or orchestrate full swarms — hierarchical, parallel, and collaborative workflows — through one completion API. Batch endpoints handle fleets in a single call.
Advanced research
Launch deep research sessions that fan out across sources and synthesize findings, individually or in batches.
Reasoning agents
Dedicated reasoning agent completions for tasks that demand deliberate, step-by-step thinking before answering.
Tools & MCP
Give agents real capabilities: Exa web search, Model Context Protocol servers, vision and image analysis, and OpenAI-style function calling.
Structured outputs
Schema-enforced JSON output from your agents, so downstream systems consume swarm results without parsing gymnastics.
OpenAI-compatible
A drop-in chat-completions endpoint powered by a high-efficiency runtime optimized for concurrency. Point your existing SDK at Swarms and ship.
Architectures
16 swarm architectures, zero orchestration code
Every coordination pattern your team would otherwise hand-build — hierarchies, debates, councils, routers — available as a single API parameter.
Hierarchical Swarm
A manager agent delegates to worker agents.
Sequential Workflow
Agents run one after another; each builds on the previous output.
Concurrent Workflow
All agents run in parallel on the same task.
Graph Workflow
Agents connected as a DAG — work flows along the edges you define.
Mixture of Agents
Multiple agents respond; an aggregator synthesizes the answer.
Council as a Judge
A council of agents judges and selects the best response.
Debate with Judge
Agents debate; a judge issues the verdict.
LLM Council
A council of LLMs collaborates on a single answer.
Multi-Agent Router
A router picks the best agent for each task.
Majority Voting
Agents vote; the majority answer wins.
Group Chat
Agents converse in a shared chat to reach a conclusion.
Round Robin
Agents take turns in a fixed rotation.
Agent Rearrange
A custom flow string defines how agents pass work.
Heavy Swarm
Heavy reasoning swarm — slow but thorough.
Batched Grid Workflow
A grid of agents processes tasks in batches.
Auto Swarm Builder
Auto-generates the right swarm structure from your task.
Management console
See and steer everything your agents do
The console is mission control for your fleet — build, run, watch, and audit without leaving the browser.
Workbench
Author single agents — model, prompt, temperature, tools — and execute them against the production API in one click.
Playground
Compose multi-agent swarms interactively. Pick an architecture, wire up agents, and iterate before you ship.
Execution history
Every run logged with token usage and per-run cost. Search, filter by date, and export to CSV for audits.
Observability
Live dashboards for agent counts, request volume, success rate, and rate-limit windows across minute, hour, and day.
Model catalog
A live catalog of frontier models — GPT, Claude, Gemini, Llama, and more — usable by any agent in any swarm.
Prompt generator
Auto-generate production-grade system prompts for any agent role, straight from the console.
How it works
From idea to production swarm in three steps
Define your agents
Give each agent a name, model, and system prompt in the Workbench — or auto-generate prompts. Each agent can use a different model, so capability matches the role.
Pick an architecture
Choose one of 16 battle-tested swarm patterns, or pass "auto" and let Auto Swarm Builder design the structure from your task.
Deploy and manage
Ship through one production API call. Track every execution, token, and dollar in the console — with full history for audits and debugging.
Enterprise
Built for teams that ship to production
Run agents with the same operational rigor as the rest of your stack — global, auditable, and predictable.
Global infrastructure
Four regional endpoints keep latency low wherever your workloads run, with response compression and priority processing for premium tiers.
Transparent rate limits
Real-time X-RateLimit-* headers on every authenticated response, with per-minute, hour, and day windows visible on your dashboard.
Audit-ready history
Complete execution logs with timestamps, token counts, and per-run cost — retained per your plan and deletable by you at any time.
API key management
Issue and rotate workspace keys from the console, with per-user tracking across keys and built-in abuse protection.
Security by default
Administrative, technical, and physical safeguards protect your data. Personal information is never sold, and subprocessors are bound by data-protection obligations.
Batch at scale
Batch completions for agents, swarms, and research sessions — with scheduling patterns for cron and Airflow pipelines.
Pricing
One rate. Every model. No surprises.
Token-based pricing that stays the same no matter which model your agents use. Model your exact workload — tokens, agents, images, and tools — with the interactive calculator.
- Unified rate across all supported models
- Per-run cost visible in execution history
- 50% night-mode discount, 8 PM–6 AM Pacific
- Batch operations for throughput cost advantages
$6.50
per 1M input tokens
$18.50
per 1M output tokens
Night mode: 50% off swarm tokens
Every night, 8 PM–6 AM Pacific — ideal for batch pipelines
Developer experience
Meet your stack where it lives
Official client libraries for every major ecosystem, OpenAI SDK compatibility, and an MCP server for agent-native tooling.
Python
pip install swarms
TypeScript
Node, Deno & edge
Go
Idiomatic services client
Java
Enterprise JVM stacks
C#
.NET applications
MCP Server
Model Context Protocol
FAQ
Frequently asked questions
What is The Swarms Cloud?
The Swarms Cloud is the enterprise platform for building, deploying, and managing multi-agent AI systems. It pairs a production API with 20+ endpoints for agents, swarms, research, and reasoning with a management console for observability, execution history, and cost control.
How is it different from calling a model API directly?
Swarms Cloud adds orchestration and management on top of raw model calls: 16 multi-agent architectures, automatic swarm construction, batch operations, tool integrations (MCP, web search), and execution history with rate-limit telemetry — all through an OpenAI-compatible endpoint.
Which models can my agents use?
Any model from the live catalog: GPT, Claude, Gemini, Llama, and other frontier providers. Each agent in a swarm can use a different model, letting you match capability and cost to each role independently.
How does pricing work?
Token-based pricing at $6.50 per 1M input tokens and $18.50 per 1M output tokens, with a flat unified rate across all models. Night mode offers 50% off swarm tokens from 8 PM to 6 AM Pacific. Use the pricing calculator to model your exact workload.
Stop managing agents one at a time
Join the teams orchestrating production agent fleets on The Swarms Cloud. Create your workspace in minutes — free credits included.