HKUDS

    HKUDS/AutoSwarm

    AutoSwarm: All Your Agents, Working as One (Codex · Claude Code · DeepSeek Harness · Muse · Grok · WorkBuddy· nanobot · and more)

    backend
    Python
    MIT
    2.0K stars
    368 forks
    2.0K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

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

    The project lists 7 contributors on GitHub.

    Use Cases & Benefits

    • Unifies multiple AI agents into a coordinated team to collaboratively complete complex tasks.
    • Enables seamless context sharing, parallel execution, and tool integration across diverse agents for efficient task automation.
    • Use for automating multi-agent workflows that require combining coding, research, and data processing capabilities.
    • Use for integrating heterogeneous AI tools and models to work together on tasks spanning different platforms and ecosystems.
    • Use for enhancing productivity by orchestrating AI agents in desktop apps, CLI, IDE extensions, or skill-enabled environments.

    Should you depend on it?

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

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

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

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

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

    From the README

    Unify your agents. Unify your context. Work as One

    No single agent can do everything. You don’t need another agent—you need all your agents working as one.

    Today, you are forced to switch interfaces, repeat information, coordinate subtasks, and manually combine results.

    AutoSwarm turns fragmented agents into one coordinated team.

    AutoSwarm works across Windows, macOS, and Linux. Use AutoSwarm through:

    AutoSwarm supports local command execution.

    Excerpt from the HKUDS/AutoSwarm README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    HKUDS/AutoSwarm compared with Backend repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    anthropics/skills187.8K+2.9K15—
    DuarteSantos8/openGym19.7K+2.4K602 days ago
    shiyu-coder/Kronos47.0K+2.3K16—
    NationalSecurityAgency/ghidra98.2K+2.3K6414 days ago
    microsoft/VibeVoice56.0K+1.1K29—
    HKUDS/AutoSwarm2.0K—26—
    Category median56.0K+2.3K29—

    Also by HKUDS

    Other repositories from this maintainer that GStars tracks

    Discover Repositories

    Search across tracked repositories by name or description