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Swarms Cloud

Swarms Cloud is a public MIT-licensed Python infrastructure project that lets developers publish, manage and expose autonomous agents through agentic APIs, with documented marketplace, dashboard, monitoring and licensing workflows.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Swarms Cloud — OpenViST project profile in Agent Infrastructure.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Swarms Cloud when the task is to move autonomous-agent code toward a managed, API-accessible service and coordinate publication, monitoring or licensing around it.

Who it is for

  • Developers packaging autonomous agents as reusable services
  • Businesses integrating agentic APIs into workflows
  • Teams building agent catalogs or marketplace-based applications
  • Operators planning cloud or self-hosted agent infrastructure

Documented uses

  • Create agent definitions with code, requirements and environment values
  • Publish agents through the Swarms CLI or project workflow
  • Expose agents as agentic APIs for application integration
  • Track API usage and performance through dashboard features
  • Manage agent versions, pricing and licensing models
Before you choose

Requirements & limits

The repository is publicly accessible, active and released under the MIT license. The documented client workflow requires a SWARMS_API_KEY; the supplied material does not specify how keys are issued or whether particular cloud deployments are available.

  • Python is the primary implementation language.
  • The repository documents a client API for health checks, agent listing and agent creation.
  • The project includes marketplace, dashboard, analytics, versioning and licensing concepts rather than only a local agent runtime.
  • AWS, Azure and Google Cloud appear in the repository metadata, but provider-specific configuration is not shown in the supplied material.
  • The README references execution and run operations without providing their endpoint specifications or a demonstrated result.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up a Python client and create an agent

Install the Swarms Cloud package, connect the client and submit an agent definition.

Before you start

  • Python environment
  • The swarms-cloud package
  • A Swarms API key provided through the SWARMS_API_KEY environment variable

Steps

  1. Install or upgrade the package with pip install -U swarms-cloud.

  2. Import SwarmCloudAPI and AgentCreate, then initialize SwarmCloudAPI with the SWARMS_API_KEY environment variable.

  3. Use the client to check API health and list agents.

  4. Create an AgentCreate definition with a name, description, code, requirements, environment values and autoscaling setting, then submit it with create_agent.

Expected outcome

An agent definition is submitted through the Swarms Cloud client after the API connection and available agents have been checked.

Guide limitations

  • The supplied example does not document API-key acquisition, endpoint details, deployment-provider configuration or a verified execution result.
  • The example includes execution and run calls as commented code but does not explain their interfaces.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
4 October 2026
Original website title
The-Swarm-Corporation/swarms-cloud · Official homepage title · retained in its source language
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