swarm
22,125
Stars
2,351
Forks
297
Watchers
40
Open Issues
MIT
许可证
Python
语言
2024-02-22
创建时间
2026-04-15
最近更新
项目能做什么
OpenAI 官方推出的教学框架,用于探索轻量且符合人机工程的多智能体(multi-agent)编排。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)

# Swarm (experimental, educational)
> [!IMPORTANT]
> Swarm is now replaced by the [OpenAI Agents SDK](https://github.com/openai/openai-agents-python), which is a production-ready evolution of Swarm. The Agents SDK features key improvements and will be actively maintained by the OpenAI team.
>
> We recommend migrating to the Agents SDK for all production use cases.
## Install
Requires Python 3.10+
```shell
pip install git+ssh://git@github.com/openai/swarm.git
```
or
```shell
pip install git+https://github.com/openai/swarm.git
```
## Usage
```python
from swarm import Swarm, Agent
client = Swarm()
def transfer_to_agent_b():
return agent_b
agent_a = Agent(
name="Agent A",
instructions="You are a helpful agent.",
functions=[transfer_to_agent_b],
)
agent_b = Agent(
name="Agent B",
instructions="Only speak in Haikus.",
)
response = client.run(
agent=agent_a,
messages=[{"role": "user", "content": "I want to talk to agent B."}],
)
print(response.messages[-1]["content"])
```
```
Hope glimmers brightly,
New paths converge gracefully,
What can I assist?
```
## Table of Contents
- [Overview](#overview)
- [Examples](#examples)
- [Documentation](#documentation)
- [Running Swarm](#running-swarm)
- [Agents](#agents)
- [Functions](#functions)
- [Streaming](#streaming)
- [Evaluations](#evaluations)
- [Utils](#utils)
# Overview
Swarm focuses on making agent **coordination** and **execution** lightweight, highly controllable, and easily testable.
It accomplishes this through two primitive abstractions: `Agent`s and **handoffs**. An `Agent` encompasses `instructions` and `tools`, and can at any point choose to hand off a conversation to another `Agent`.
These primitives are powerful enough to express rich dynamics between tools and networks of agents, allowing you to build scalable, real-world solutions while avoiding a steep learning curve.
> [!NOTE]
> Swarm Agents are not related to Assistants in the Assistants API. They are named similarly for convenience, but are otherwise completely unrelated. Swarm is entirely powered by the Chat Completions API and is hence stateless between calls.
## Why Swarm
Swarm explores patterns that are lightweight, scalable, and highly customizable by design. Approaches similar to Swarm are best suited for situations dealing with a large number of independent capabilities and instructions that are difficult to encode into a single prompt.
The Assistants API is a great option for developers looking for fully-hosted threads and built in memory management and retrieval. However, Swarm is an educational resource for developers curious to learn about multi-agent orchestration. Swarm runs (almost) entirely on the client and, much like the Chat Completions API, does not store state between calls.
# Examples
Check out `/examples` for inspiration! Learn more about each one in its README.
- [`basic`](examples/basic): Simple examples of fundamental
阅读完整原文
商业机会分析 规则生成(AI 未配置)
综合评分 62.8 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 64.0 分,差异化空间 70.0 分(评分依据见评分卡)。
将 swarm 改造为垂直场景 SaaS
| 产品构想 | 保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。 |
| 目标用户 | 有该需求的中小团队 / 独立站长 |
| 难度/周期 | 中 · 2~4 周(MVP) |
| 收费模式 | 订阅制(如 ¥29~99/月) |
| 竞争风险 | 需验证付费意愿;注意许可证合规 |
| 依据 | 数据支持的判断:许可证与关键词显示存在商用与付费场景 |
面向细分需求的二次开发产品
| 产品构想 | 基于 swarm 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
封装为在线小工具或 API 服务
| 产品构想 | 把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。 |
| 目标用户 | 搜索引擎带来的长尾用户 |
| 难度/周期 | 低 · 1~3 周 |
| 收费模式 | 免费引流 + 增值功能 / API 按量计费 |
| 竞争风险 | 同质化竞争,需做好 SEO |
| 依据 | AI 推测:基于技术栈与部署特征的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
竞品与相似项目 GitHub Search 真实检索
| 项目 | 中文简介 | Stars | 语言 |
|---|---|---|---|
| stablyai/orca | 中文介绍暂未生成 Orca lets you run a fleet of coding agents (e.g. Claude Code |
121,444 | TypeScript |
| 666ghj/MiroFish | 中文介绍暂未生成 A Simple and Universal Swarm Intelligence Engine, Predicting |
85,212 | Python |
| ruvnet/ruflo | 中文介绍暂未生成 🌊 The original agent harness. Deploy intelligent multi-playe |
81,435 | TypeScript |
| yeasy/docker_practice | 中文介绍暂未生成 最新Docker容器技术,从真实案例中学习最佳实践!| Learn and understand Docker&Cont |
26,356 | Go |
| elizaOS/eliza | 中文介绍暂未生成 Open source agentic operating system |
19,837 | TypeScript |
| amir20/dozzle | 中文介绍暂未生成 Realtime log viewer for containers. Supports Docker, Swarm |
14,896 | Go |
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 2024-02-22,最近推送 2026-04-15 |
| 社区活跃 | Star 22,125 / Fork 2,351 / Issue 40(数据支持,可自行核实) |
| 许可证 | MIT |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
快速开始(以仓库 README 为准)
git clone https://github.com/openai/swarm.git cd swarm # 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。