kyegomez/swarms
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Swarms Website • Documentation • Swarms Marketplace • 中文 Build, deploy, and scale high-performance multi-agent systems with Swarms Python, a fast, flexible, and optimized agent framework. Featuring production-ready harnesses for sequential, concurrent, and hierarchical architectures, seamless framework compatibility, and integrations with MCP, x402, and skills. swarms[fast] adds two optional speedups: The official image, swarmscorp/swarms on Docker Hub, has swarms and its CLI installed on Python 3.13, for linux/amd64 and linux/arm64. To build the image yourself, run docker build -t swarms . from the repository root. Learn more about the environment configuration here An Agent is the fundamental building block of a swarm: an autonomous entity powered by an LLM + Tools + Memory. Learn more Here Setting maxloops="auto" lets the agent decide for itself when the task is complete. It keeps reasoning and acting until it reaches a stopping condition, rather than halting after a fixed number of iterations. This…
Read the full README ↗ · Preview checked 2026-10-28T01:30:48.954Z
Inside the original README — Document outline
- Overview
- Install
- From source
- Faster model calls and graphs with swarms[fast]
- Using Docker
- Environment Configuration
- Your First Agent
- Autonomous Agent with maxloops="auto"
- MCP Integration
- Serve an Agent as an MCP Server
- Your First Swarm: Multi-Agent Collaboration
- Available Multi-Agent Architectures
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Links from the README
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- swarmscorp/swarms
- Learn more about the environment configuration here
- Learn more Here
- See the MCPDeployer examples
- singleagentapikey.py
- multipleagentsoneserver.py
- customauthpertenant.py
- tokenverifierwithscopes.py
- backgroundserverandclientagent.py
- Learn More About SequentialWorkflow
- ConcurrentWorkflow
- AgentRearrange
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Repository facts
- Owner
- kyegomez
- Primary language
- Python
- Stars
- 7,340
- Forks
- 1,063
- Open issues + pull requests
- 441
- License
- Apache-2.0
- Archived
- No
- Default branch
- master
- Created
- 2023-05-11T01:09:00.000Z
- Last push
- 2026-11-01T03:57:29.000Z
Topics and intended use
Owner-supplied topics: agentic-ai, agentic-workflow, agents, ai, artificial-intelligence, chatgpt, claude-code, gpt4all, huggingface, langchain, langchain-python, machine-learning, multi-agent-systems, prompt-engineering, prompt-toolkit, prompting, swarms, tree-of-thoughts
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Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.
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