Open-source harness layer that coordinates multiple agent harnesses such as Codex and Claude Code to work in parallel with shared context. Works on Windows, macOS and Linux.
AutoSwarm at a glance
- What is AutoSwarm?
- AutoSwarm is an agent from HKUDS. Open-source layer that coordinates multiple coding and general agents (Codex, Claude Code, etc.) in parallel with shared context.
- Who makes AutoSwarm?
- AutoSwarm is made by HKUDS.
- Does AutoSwarm work in the EU?
- Available in the EU. MIT-licensed open-source code on GitHub with downloadable desktop installers and no regional restrictions stated; it runs locally, though the underlying agents have their own availability terms. Last verified 14 Nov 2026.
- How much does AutoSwarm cost?
- Open source, open source. Free MIT-licensed software; costs depend on the underlying agents and model providers used. Licence: MIT.
- Where was AutoSwarm shown?
- In 1 creator video by AI Search. Most recently by AI Search on 1 Nov 2026, at 7:58 in “AI finally sleeps, Gemini 4 Carbon, ETH cracked, energy-based models, Anthropic IPO: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
AutoSwarm, from HKUDS, is an open-source orchestration layer that sits on top of existing agent harnesses and CLIs. Given a task, it selects suitable agents, shares context and memory between them, runs subtasks in parallel, and verifies and synthesizes the results into a single answer. The README lists supported agents including Codex, Claude Code, OpenCode, Cursor, GitHub Copilot CLI, Meta Muse Code, CodeBuddy, Hermes, Nanobot, DeepSeek Harness, Grok Build and Kimi Code.
It is installed as a lightweight plug-in or skill into an agent the user already uses, which then acts as the entry point and can help configure the other locally installed agents. The main host needs Skill support and local command execution; collaborating agents need compatible local CLIs. It can also be used through a command line, IDE extensions, and AutoSwarm Desk, a desktop app for Windows and macOS (Apple silicon and Intel) that bundles Python and provides a private assistant, shared conversations, and an approval review view.
The project has an accompanying paper on arXiv ("AutoSwarm: Automating Agent Swarms") and describes its coordination algorithms in an in-repo archive. It does not provide models itself, so results depend on the underlying agents and their own accounts, credentials and costs. The roadmap lists more integrations, better coordination and improved reliability, indicating the project is still early.
- Coordinates multiple agent CLIs/harnesses (Codex, Claude Code, OpenCode, Cursor, Copilot CLI and others)
- Shares context and memory across agents
- Runs subtasks in parallel and synthesizes verified results
- Installs as a plug-in/skill into any compatible host agent
- AutoSwarm Desk desktop app for Windows and macOS
- Runs on Windows, macOS and Linux
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Similar AI tools
Closest neighbours by meaning, not just by category.
Codex
App · OpenAI
OpenAI's coding agent, available in the ChatGPT app, cloud, IDE extension and CLI under one ChatGPT account.
Codex Thread Delegation and Search
App · OpenAI
Codex feature letting one thread search, summarize and link other threads and delegate work to them.
GPT-5.3 Codex
Model · OpenAI
OpenAI's agentic coding model powering Codex in the CLI, IDE extension, desktop app and ChatGPT cloud.
Dynamic Workflows
App · Anthropic
Claude Code feature where Claude writes orchestration scripts that run tens to hundreds of parallel subagents with verification.
Claude Code Agent View
App · Anthropic
Claude Code CLI view that lists and manages multiple parallel Claude Code sessions, showing which need input or are done.
Codex CLI (refreshed)
App · OpenAI
OpenAI's open-source coding agent that runs in the terminal, with voice control and a new code review experience.
