Open Multi Agent Orchestration
This is for building multi-agent AI systems where different agents with specialized roles collaborate on complex tasks. You get task dependency graphs (DAG scheduling), parallel execution, and shared memory, all running in-process without subprocess overhead. The framework handles both single-agent workflows and full teams where you can mix Claude and GPT models in the same pipeline. Particularly good when you need explicit control over who does what and in what order, like having an architect agent design an API spec, then blocking a developer agent until that's done, while a reviewer agent runs in parallel. Includes built-in tools for file operations and bash, plus you can define custom tools with Zod schemas.
- skills.sh installs
- 665
- GitHub stars
- 61
- last updated
- Jul 14, 2026
Install
$ npx -y skills add aradotso/trending-skills --skill open-multi-agent-orchestration --agent claude-codeInstalls into .claude/skills of the current project.
Files
Open Multi-Agent Orchestration
Skill by ara.so — Daily 2026 Skills collection.
open-multi-agent is a TypeScript framework for building AI agent teams where agents with different roles, models, and tools collaborate on complex goals. The framework handles task dependency resolution (DAG scheduling), parallel execution, shared memory, and inter-agent communication — all in-process with no subprocess overhead.
Installation
npm install @jackchen_me/open-multi-agent
# or
pnpm add @jackchen_me/open-multi-agent
Set environment variables:
export ANTHROPIC_API_KEY=your_key_here
export OPENAI_API_KEY=your_key_here # optional, only if using OpenAI models
Core Concepts
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- Repository
- github.com/aradotso/trending-skills
- Categories
- AI & Agent Building, Automation & Workflows
- First seen
- May 16, 2026
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