Swarms is a modular framework that enables reliable and useful multi-agent collaboration at scale to automate real-world tasks.

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Vision

At Swarms, we're transforming the landscape of AI from siloed AI agents to a unified 'swarm' of intelligence. Through relentless iteration and the power of collective insight from our 1500+ Agora researchers, we're developing a groundbreaking framework for AI collaboration. Our mission is to catalyze a paradigm shift, advancing Humanity with the power of unified autonomous AI agent swarms.

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🤝 Schedule a 1-on-1 Session

Book a 1-on-1 Session with Kye, the Creator, to discuss any issues, provide feedback, or explore how we can improve Swarms for you.

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Installation

pip3 install --upgrade swarms

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Usage

We have a small gallery of examples to run here, for more check out the docs to build your own agent and or swarms!

Flow Example

• The Flow is a superior iteratioin of the LLMChain from Langchain, our intent with Flow is to create the most reliable loop structure that gives the agents their "autonomy" through 3 main methods of interaction, one through user specified loops, then dynamic where the agent parses a token, and or an interactive human input verison, or a mix of all 3.

from swarms.models import OpenAIChat
from swarms.structs import Flow

api_key = ""


# Initialize the language model,
# This model can be swapped out with Anthropic, ETC, Huggingface Models like Mistral, ETC
llm = OpenAIChat(
    openai_api_key=api_key,
    temperature=0.5,
)

# Initialize the flow
flow = Flow(
    llm=llm,
    max_loops=5,
)

out = flow.run("Generate a 10,000 word blog, say Stop when done")
print(out)

GodMode

• A powerful tool for concurrent execution of tasks using multiple Language Model (LLM) instances.

from swarms.swarms import GodMode
from swarms.models import OpenAIChat

api_key = ""

llm = OpenAIChat(
    openai_api_key=api_key
)


llms = [
    llm,
    llm,
    llm
]

god_mode = GodMode(llms)

task = 'Generate a 10,000 word blog on health and wellness.'

out = god_mode.run(task)
god_mode.print_responses(task)

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OmniModalAgent

• OmniModal Agent is an LLM that access to 10+ multi-modal encoders and diffusers! It can generate images, videos, speech, music and so much more, get started with:

from swarms.models import OpenAIChat
from swarms.agents import OmniModalAgent

api_key = "SK-"

llm = OpenAIChat(model_name="gpt-4", openai_api_key=api_key)

agent = OmniModalAgent(llm)

agent.run("Create a video of a swarm of fish")

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Documentation

• For documentation, go here, swarms.apac.ai

Contribute

We're always looking for contributors to help us improve and expand this project. If you're interested, please check out our Contributing Guidelines.

License

MIT