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Swarms

Advancing Humanity with Multi-Agent Collaboration
README.md

Swarms

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Welcome to the Swarms Github Page!

Our mission is to advance the transition to an agentic world economy with billions of agents, orchestrating and collaborating to solve complex problems and drive innovation.

Mission

At Swarms, we believe in the power of autonomous agents to revolutionize industries, optimize processes, and create a more efficient and innovative world. Our goal is to build and deploy agent-based systems that can autonomously manage tasks, interact seamlessly with other agents, and operate in dynamic environments to achieve goals with minimal human intervention.

Hiring

We are expanding our team and looking for talented individuals passionate about building the future of autonomous agents. We have open positions for:

  • Agent Engineers: Design and develop sophisticated agents capable of complex decision-making and collaboration.
  • DevOps Engineers: Implement and manage our infrastructure to ensure seamless deployment and operation of our agent systems.
  • Front-End Programmers: Create intuitive and user-friendly interfaces to interact with our agent frameworks.
  • API Engineers: Develop robust APIs to facilitate interaction between agents and external systems.
  • AI Researchers: Innovate and push the boundaries of what's possible with AI and machine learning in the context of agent systems.

If you're interested in joining our team, please visit our Careers Page or email us at kye@swarms.world with your github account link.

Contributing

We welcome contributions from the community! If you'd like to contribute, please read our Contributing Guide and check out our Code of Conduct.

Community

Join our growing community of developers and researchers passionate about autonomous agents:

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any inquiries, please reach out to us at kye@swarms.world.

Together, let's build the future of autonomous agents and advance towards an agentic world economy. 🌍🤖

Visit our website

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  1. swarms-cloud swarms-cloud Public

    Deploy your autonomous agents to production grade environments with 99% Uptime Guarantee, Infinite Scalability, and self-healing.

    Python 27 10

  2. swarms-platform swarms-platform Public

    The Agent Marketplace

    TypeScript 30 17

  3. swarm-ecosystem swarm-ecosystem Public

    The Swarm Ecosystem

    14 2

  4. Multi-Agent-Template-App Multi-Agent-Template-App Public template

    A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications

    Shell 24 3

  5. swarms-core swarms-core Public

    Multi-threading, Concurrency, Asynchrony, and various Execution Methods implemented in a Rust backend for bleeding edge performance.

    Rust 10 1

  6. swarms-memory swarms-memory Public

    A collection of pre-build wrappers over common RAG systems like ChromaDB, Weaviate, Pinecone, and othersz!

    Python 20 2

Repositories

Showing 10 of 64 repositories
  • swarms-platform Public

    The Agent Marketplace

    The-Swarm-Corporation/swarms-platform’s past year of commit activity
    TypeScript 30 17 21 (1 issue needs help) 16 Updated Nov 14, 2024
  • ClusterOps Public

    ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.

    The-Swarm-Corporation/ClusterOps’s past year of commit activity
    Python 3 MIT 0 0 4 Updated Nov 14, 2024
  • Multi-Agent-RAG-Template Public

    This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.

    The-Swarm-Corporation/Multi-Agent-RAG-Template’s past year of commit activity
    Python 7 MIT 1 0 1 Updated Nov 14, 2024
  • Cookbook Public

    Examples and guides for using Swarms Framework

    The-Swarm-Corporation/Cookbook’s past year of commit activity
    Jupyter Notebook 14 MIT 4 0 1 Updated Nov 14, 2024
  • ATLAS Public

    ATLAS is a sophisticated real-time risk analysis system designed for institutional-grade market risk assessment. Built with high-frequency trading (HFT) capabilities and advanced machine learning techniques, ATLAS provides continuous volatility predictions and risk metrics using both historical patterns and real-time market data.

    The-Swarm-Corporation/ATLAS’s past year of commit activity
    Python 3 MIT 0 0 0 Updated Nov 14, 2024
  • .ai Public

    The first ever natural language programming language.

    The-Swarm-Corporation/.ai’s past year of commit activity
    Python 5 MIT 0 0 4 Updated Nov 14, 2024
  • USF Public

    USF (Universal Storage Format) is a next-generation, high-performance storage format designed for enterprise-grade data management. It provides adaptive compression, intelligent data organization, and robust error handling in a single, unified format.

    The-Swarm-Corporation/USF’s past year of commit activity
    Rust 4 MIT 0 0 4 Updated Nov 12, 2024
  • Custom-Swarms-Spec-Template Public

    Build your dream AI agent swarm with enterprise-grade reliability and scalability. This repository contains our official specification template for custom swarm development using the powerful Swarms Framework.

    The-Swarm-Corporation/Custom-Swarms-Spec-Template’s past year of commit activity
    1 MIT 0 0 0 Updated Nov 12, 2024
  • Multi-Modal-XRAY-Diagnosis-Medical-Swarm-Template Public

    Analyze XRAYS, MRIS, and much more 10x faster with a swarm of agents

    The-Swarm-Corporation/Multi-Modal-XRAY-Diagnosis-Medical-Swarm-Template’s past year of commit activity
    Python 1 MIT 1 0 0 Updated Nov 12, 2024
  • Enterprise-Grade-Agents-Course Public

    This comprehensive course teaches students how to build, deploy, and manage autonomous agents for enterprise workflows using the Swarms library. Students will learn to create robust, scalable agent systems that can handle complex business processes, integrate with existing tools, and maintain long-term memory.

    The-Swarm-Corporation/Enterprise-Grade-Agents-Course’s past year of commit activity
    Python 2 MIT 0 0 4 Updated Nov 11, 2024
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