am-will/swarms
203 stars · Last commit 2026-04-18
Multi-agent orchestration skills for Claude Code and Codex
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<img width="1024" height="559" alt="image" src="https://github.com/user-attachments/assets/778c9168-b39a-4b2f-8a4c-1e06ee00d98c" /> # Swarms Multi-agent orchestration for Claude Code and Codex. Plan with explicit dependencies, execute in parallel waves, with an orchestrator that maintains context and verifies work. ## The Problem with Simple Loops A popular pattern for AI coding agents is the bash loop: spawn an agent, have it find the next task, execute it, repeat. It mirrors how humans work, logical and straightforward. But LLMs aren't humans. Each new agent session starts fresh. It has to: - Re-read the same prompt as every previous iteration - Discover the current project state through exploration - Figure out what comes next by inspecting previous work - Hope the last agent didn't cut corners There's no continuity. No one checking work. No context passed between agents. Each iteration burns tokens re-discovering what the orchestrator already knows. ## A Different Approach