Agentswarm — DevOps skill for Claude Code
Local agent swarm: a conductor model splits missions into parallel sub-agents with real tools and a localhost web UI.
How to install Agentswarm
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open robzilla1738/agentswarm and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agentswarm does
Local agent swarm: a conductor model splits missions into parallel sub-agents with real tools and a localhost web UI. Runs locally out of the box; Docker/E2B/Modal/Vercel sandboxes optional. Works with DeepSeek, OpenAI, Anthropic, Grok, MiniMax, OpenRouter, Ollama, LM Studio, etc.
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README
agentswarm
[](https://www.npmjs.com/package/@robzilla1738/agentswarm) [](LICENSE) [](package.json) [](https://buymeacoffee.com/robcourson)
A local agent-swarm orchestrator with a terminal dashboard and a localhost web UI. Works with DeepSeek, OpenAI, Anthropic, xAI, MiniMax, OpenRouter, Ollama, LM Studio, or any OpenAI-compatible endpoint.
You give it a mission. A conductor model breaks the mission into tasks and hands them to worker agents that run in parallel, share findings on a blackboard, and get checked by an adversarial verifier. The run ends with a synthesized report plus whatever files the agents produced. Everything runs on your machine with your own API key, or fully offline against a local model.
┌─────────────┐
│ Conductor │ decomposes the mission, schedules waves,
└──────┬──────┘ reacts to results, steers toward the goal
┌───────────┼───────────┐
┌───▼───┐ ┌───▼───┐ ┌───▼───┐ parallel worker agents
│ T1 │ │ T2 │ │ T3 │ (shell · files · web · notes)
└───┬───┘ └───┬───┘ └───┬───┘
└─────┬─────┘ │ dependencies + shared blackboard
┌────▼─────┐ ┌────▼────┐
│ T4 dep │◀─────│ verify │ adversarial verification
└────┬─────┘ └─────────┘
┌────▼─────┐
│Synthesize│ → final report (.md + .html) + artifacts
└──────────┘
What it does
- Independent tasks run at the same time, up to a parallelism cap you
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