am-will

am-will / swarms

Public

Multi-agent orchestration skills for Claude Code and Codex

114
5
100% credibility
Found Feb 05, 2026 at 63 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Swarms is a beginner-friendly tool for AI coding assistants that creates dependency-aware plans and coordinates parallel task execution with verification for efficient software development.

How It Works

1
🔍 Discover Swarms

You hear about Swarms, a clever helper that makes your AI coding buddy plan and build big projects much smarter and faster.

2
➕ Add Swarms

You simply add Swarms to your AI assistant, unlocking its powerful planning and teamwork abilities.

3
🤝 Enable Teamwork

You turn on the teamwork feature so your AI can call in helper agents to work together smoothly.

4
🗺️ Create a Plan

You tell your AI what feature or app part you want to build, and it researches, asks questions, and makes a clear step-by-step plan with smart connections between tasks.

5
✅ Review the Plan

You check the neat plan file it creates, answer any quick questions, and say it's good to go.

6
🚀 Build in Waves

Your AI launches teams of helpers to build tasks in parallel waves, checking each one's work before the next, so everything fits perfectly.

🎉 Feature Ready

All tasks are done, your new feature is built, tested, and committed to your project, ready for you to use right away.

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AI-Generated Review

What is swarms?

Swarms brings multi-agent orchestration to Claude Code and Codex, turning vague project prompts into dependency-aware plans that execute in parallel waves. Instead of token-wasting loops where each agent rediscovers context, a single orchestrator plans your codebase changes—like adding auth to an Express app—spawns subagents for parallel tasks, verifies outputs, and iterates until done. Install via `npx skills add am-will/swarms`, then trigger with `$swarm-planner` for planning and `$parallel-task` for execution.

Why is it gaining traction?

In the claude multi agent github scene, it beats simple loops like Ralph by maintaining full context and verifying work wave-by-wave, avoiding the chaos of unchecked agents. Compared to token-hungry setups like Gas Town or langgraph multi agent github frameworks, swarms prioritizes explicit dependencies for conflict-free parallelism without complex specialist agents. Developers dig the simplicity: fewer tokens, clear progress logs, and subagent reviews that catch plan gaps early.

Who should use this?

AI-assisted coders building features in existing repos with Claude Code or Codex, especially backend devs tackling multi-step tasks like database schemas to API endpoints. Solo devs prototyping b2b sites or auth systems who want orchestrated swarms without managing drone swarms github complexity. Pairs well with Context7 for fresh docs during multi-agent orchestration.

Verdict

Promising for claude multi agent github users, but at 83 stars and 1.0% credibility, it's early-stage—docs are solid, but expect tweaks as subagent features mature. Try it for small projects if you're in the ecosystem; skip for production-scale multi-agent orchestration platforms.

(198 words)

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