kyegomez

    kyegomez/swarms

    #412 this week

    The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

    ai
    nlp
    llm
    machine-learning
    agentic-ai
    agentic-workflow
    agents
    artificial-intelligence
    chatgpt
    Python
    Apache-2.0
    7.3K stars
    1.0K forks
    7.3K GitHub watchers
    Updated Oct 20, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #412 of 3,103 repositories GStars tracks this week (top 13%).

    No releases in the last 90 days; the most recent was 662 days ago, with 62 contributors on GitHub.

    Gained 39% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides an enterprise-grade Python framework for orchestrating multi-agent AI systems with modular, scalable, and production-ready infrastructure.
    • Enables flexible multi-agent workflows with high availability, seamless integration, and dynamic agent orchestration for complex business automation.
    • Use for building hierarchical or parallel AI workflows that require coordinated task execution across multiple specialized agents.
    • Use for developing autonomous research or analysis agents that iteratively refine outputs until task completion without fixed iteration limits.
    • Use for integrating multi-model AI providers and deploying vendor-agnostic, scalable agent systems with standardized APIs and marketplace prompt sharing.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework

    Swarms delivers a comprehensive, enterprise-grade multi-agent infrastructure platform designed for production-scale deployments and seamless integration with existing systems. Learn more about the swarms feature set here

    • High Availability Systems • Modular Microservices Design • Comprehensive Observability • Backwards Compatibility | • 99.9%+ Uptime Guarantee • Reduced Operational Overhead • Seamless Legacy Integration • Enhanced System Monitoring • Risk-Free Migration Path |

    • Parallel Processing Pipelines • Sequential Workflow Orchestration • Graph-Based Agent Networks • Dynamic Agent Composition • Agent Registry Management | • Complex Business Process Automation • Scalable Task Distribution • Flexible Workflow Adaptation • Optimized Resource Utilization • Centralized Agent Governance • Enterprise-Grade Agent Lifecycle Management |

    • Custom Agent Development Framework • Extensive Enterprise Tool Library • Multiple Memory Systems • Backwards Compatibility with LangChain, AutoGen, CrewAI • Standardized API Interfaces | • Vendor-Agnostic Architecture • Custom Solution Development • Extended Functionality Integration • Enhanced Knowledge Management • Seamless Framework Migration • Reduced Integration Complexity |

    Excerpt from the kyegomez/swarms README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.0K+76

    Open issues

    327+273

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

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    Category median101.6K+4.5K75—

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