swarmx 0.6.3a0

A lightweight, stateless multi-agent orchestration framework.

SwarmX (forked from OpenAI's Swarm)

An extreme simple framework exploring ergonomic, lightweight multi-agent orchestration.

Highlights

1. SwarmX is both Agent and Workflow
2. MCP servers support
3. OpenAI-compatible streaming-server

Star History

Quick start

After setting OPENAI_API_KEY environment variable, you can start a simple REPL by running the following command:

export OPENAI_API_KEY="your-api-key"
# export OPENAI_BASE_URL="http://localhost:11434/v1"  # optional
uvx swarmx  # Start interactive REPL

API Server

You can also start SwarmX as an OpenAI-compatible API server:

uvx swarmx serve --host 0.0.0.0 --port 8000

This provides OpenAI-compatible endpoints:

• POST /v1/chat/completions - Chat completions with streaming support
• GET /v1/models - List available models

Use it with any OpenAI-compatible client:

import openai

client = openai.OpenAI(
    base_url="http://localhost:8000/v1",
    api_key="dummy"  # SwarmX doesn't require authentication
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)

Installation

Requires Python 3.11+

$ pip install swarmx # or `uv tool install swarmx`

Usage

import asyncio
from swarmx 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",
    model="deepseek-r1:7b",
    instructions="你只能说中文。",  # You can only speak Chinese.
)


async def main():
    response = await client.run(
        agent=agent_a,
        messages=[{"role": "user", "content": "I want to talk to agent B."}],
    )

    print(response.messages[-1]["content"])


asyncio.run(main())

Architecture

graph TD
   classDef QA fill:#ffffff;
   classDef agent fill:#ffd8ac;
   classDef tool fill:#d3ecee;
   classDef result fill:#b4f2be;
   func1("transfer_to_weather_assistant()"):::tool
   Weather["Weather Assistant"]:::agent
   func2("get_weather('New York')"):::tool
   temp(64):::result
   A["It's 64 degrees in New York."]:::QA
   Q["What's the weather in ny?"]:::QA --> 
   Triage["Triage Agent"]:::agent --> Weather --> A
   Triage --> func1 --> Weather
   Weather --> func2 --> temp --> A