AXI Agent eXperience Interface CLI Design
Needs source verification before treating this as a recommendation.
TL;DR
AXI (Agent eXperience Interface) is a set of 10 design principles for building CLI tools that are optimized for use by AI agents rather than human users. It aims to achieve 100% task success at the lowest token/cost overhead, validated across benchmarks. As AI agents increasingly interact with command-line tools, standard CLI conventions designed for humans create friction and errors. AXI provides a principled framework for designing agent-ergonomic CLIs that maximize task success rates while minimizing cost.
What it actually is
- What: AXI (Agent eXperience Interface) is a set of 10 design principles for building CLI tools that are optimized for use by AI agents rather than human users. It aims to achieve 100% task success at the lowest token/cost overhead, validated across benchmarks.
- Who built it / maintained by: unknown
- Status: unknown
- Why it matters: As AI agents increasingly interact with command-line tools, standard CLI conventions designed for humans create friction and errors. AXI provides a principled framework for designing agent-ergonomic CLIs that maximize task success rates while minimizing cost.
- How it compares to alternatives:
- Click
- Typer
- Commander.js
- Cobra
- oclif
- GitHub stars: 0 · License: unknown · Archived: no
Links
- Docs: https://axi.md/
Kickstarter guide
Visit axi.md to read the 10 design principles for agent-ergonomic CLI design. Apply these principles when building new CLI tools or refactoring existing ones to be consumed by AI agents. The framework is validation-backed across 915 benchmark runs, so prioritize principles shown to most impact task success rate.