hkuds/autoswarm

Why AutoSwarm?

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

Different agents come with different:

• 🛠️ Capabilities — coding, research, browsing, office work, writing, computer use, and social networking;
• 🧠 Context and Memory — each agent maintains its own context, with little or no sharing across agents;
• ⚙️ Tools and Workflows — each agent follows its own interaction patterns and execution process;
• 🌐 Data and Application Ecosystems — agents are connected to different platforms, services, files, and data.

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

AutoSwarm turns fragmented agents into one coordinated team.

Give AutoSwarm a task once. It unifies all your agents into one coordinated team:

• Selects the right agents based on their capabilities;
• Shares context and memory across agents;
• Connects complementary tools and workflows;
• Bridges data and application ecosystems;
• Runs tasks in parallel for faster execution;
• Coordinates agent collaboration and keeps everyone aligned;
• Verifies and synthesizes results into one coherent answer.

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

• Desktop apps
• Command-line interfaces (CLI)
• IDE extensions
• Skill-enabled agent environments

The main host needs Skill support and local command execution. Collaborators need compatible local CLIs; your assistant can help connect missing ones.

🚀 Easy to use

One Lightweight Plug-in. Any Agent as Your Entry Point. All Your Agent at Work.

How to Use AutoSwarm

Give AutoSwarm to any agent you already use and ask:

Install or update AutoSwarm for this agent. Reuse my existing configuration and verify which locally installed agents are available.

Your assistant will report which collaborators are ready. To add another, tell it the agent’s name; it will handle setup and verification.

Then start any task with:

Use AutoSwarm to read these 100 documents and summarize the key approaches and disagreements.

AutoSwarm selects, connects, and coordinates the right agents for every task.

🤖 AutoSwarm in Action

📰 News

• AutoSwarm is live!: Full technical details and multi-agent coordination algorithms are available in the archive.

🗺️ Roadmap

-🔌 Expand Integrations — Support more agent products, models, tools, and native capabilities. -🤝 Improve Coordination — Strengthen context sharing, communication, task routing, and parallel execution. -🛡️ Enhance Reliability — Improve setup, monitoring, error recovery, verification, and overall user experience.

🌟 Citation

If you find this work helpful to your research, please kindly consider citing our paper.

@misc{li2026autoswarm,
      title={AutoSwarm: Automating Agent Swarms},
      author={Zhonghang Li and Zongwei Li and Chao Huang},
      year={2026},
      eprint={2610.33048}
}

For agents: How to use AutoSwarm

Architecture · Contributing and validation · MIT License