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Swarms

Swarms is an open-source Python framework for composing and orchestrating AI agents in sequential, concurrent and hierarchical workflows, with interoperability for other agent frameworks and protocols including MCP.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Swarms — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Swarms when developing an agent workflow where the coordination pattern matters—for example, staged processing, parallel analysis or specialist outputs combined by an aggregator.

Who it is for

  • Python developers building multi-agent AI workflows.
  • Teams that need to divide work among specialist agents or coordinate ordered and parallel stages.
  • Developers integrating agent systems with MCP-supported components.

Documented uses

  • Compose ordered multi-agent pipelines for staged tasks.
  • Run agents concurrently on separate parts of a task.
  • Coordinate agents in a hierarchical structure.
  • Synthesize specialist agents’ outputs through an aggregator agent.
  • Build agent systems that interoperate with MCP-supported components.
Before you choose

Requirements & limits

The repository identifies the project as open source under the Apache-2.0 license. The README documents installation through pip, uv, Poetry, source, and Docker.

  • Choose sequential coordination when work needs ordered stages, concurrent coordination when parts can be handled separately, or a hierarchical structure when agents need levels of coordination.
  • The README documents a MixtureOfAgents pattern with specialist agents and an aggregator for synthesizing their outputs.
  • The framework is implemented in Python and distributed under the Apache-2.0 license.
  • Model access depends on the selected provider; the README lists API-key environment variables for OpenAI, Anthropic and Groq.
  • Installation options include package managers, source setup and Docker.

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

Install Swarms from source

Set up the Swarms repository and install its listed requirements.

Before you start

  • Git and pip.

Steps

  1. Clone the repository with the command below.

    Documented command
    git clone https://github.com/kyegomez/swarms.git

  2. Change into the repository directory with cd swarms.

  3. Install the listed requirements with the command below.

    Documented command
    pip install -r requirements.txt

Expected outcome

The repository is cloned locally and its listed requirements are installed.

Guide limitations

  • The steps do not document running or testing the project.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
SwarmsCompose ordered multi-agent pipelines for staged tasks.CLI, Self-hosted, ServerThe repository identifies the project as open source under the Apache-2.0 license. The README documents installation through pip, uv, Poetry, source, and Docker.
MassgenRun multiple AI agents against the same user task.CLIThe repository documents installation through pip or uv and requires Python 3.11 or later. Setup can configure API keys for OpenAI, Anthropic, Google and xAI; credentials are needed for the selected model backends.
Langchain Multi Agents BoilerplateRoute incoming football questions to model and agent workflows according to task complexity.WebThe repository is public and specifies an MIT license. Running the application requires OpenAI and Groq API keys and a Redis server.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
10 October 2026
Original website title
kyegomez/swarms · Official homepage title · retained in its source language
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