AIWG

Overview

AIWG is a community-maintained cognitive architecture for AI-augmented software development. It provides specialized agents and structured workflows that can be deployed across multiple AI coding platforms including Claude Code, Codex, Copilot, Cursor, Factory, Warp, and Windsurf. The project is written in TypeScript.

Best for

Best for
Teams standardizing AI coding agents across multiple platforms.

Use cases

• Standardize AI agent workflows across different coding tools
• Define specialized agent roles for development tasks
• Deploy a shared cognitive architecture to multiple AI platforms

Notes

AIWG is a community-maintained cognitive architecture for AI-augmented software development. It provides specialized agents and structured workflows that can be deployed across multiple AI coding platforms including Claude Code, Codex, Copilot, Cursor, Factory, Warp, and Windsurf. The project is written in TypeScript.

217 stars on GitHub. Last updated 2026-09-27. Licensed MIT.

Use cases

• Standardize AI agent workflows across different coding tools
• Define specialized agent roles for development tasks
• Deploy a shared cognitive architecture to multiple AI platforms

Pros

• Supports seven major AI coding tools, reducing platform lock-in
• Structured workflows bring consistency to AI-assisted development
• Open source with a TypeScript codebase for type safety

Cons

• Small community with 217 stars suggests limited adoption
• Category is observability but the description does not clarify observability features
• Requires integration effort to work across each supported platform

Indexed from awesome-llmops and enriched against its public facts.