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aetherlang

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Orchestrate AI workflows with a DSL

Software Engineering#llm#orchestration#dsl#openclaw#ai-workflow#workflow-security
Authorcontrario
Version1.0.0
Installs0

System Documentation

What problem does it solve?

AetherLang Ω provides a production-grade DSL to orchestrate multi-model AI workflows. It enables teams to define, validate, and execute complex AI pipelines as code, reducing integration friction and speeding up deployment across domains like recipes, market analysis, research, and education.

Core Features & Use Cases

  • 39 node types enabling rich orchestration across AI tasks (planning, LLM prompts, data processing, and safety guards)
  • V3/V2 engines such as Chef, APEX, Oracle, GAIA, and NEXUS-7 for domain-specific flows
  • OpenClaw integration to run flows via chat platforms and API endpoints
  • Security-first design with input validation, prompt sanitization, rate limiting, and Gandalf safety review
  • Examples include building production-grade recipe flows, business strategy analyses, and market intelligence pipelines

Quick Start

Install via pip and run a sample flow to validate end-to-end execution and visualization.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: aetherlang
Download link: https://github.com/contrario/aetherlang/archive/main.zip#aetherlang

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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