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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Design principles for agent ergonomics. Higher accuracy with lower token cost than both MCP and regular CLI.
| Date | Stars |
|---|---|
| 2026-07-31 | 1702 |
| 2026-08-06 | 1766 |
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<h1 align="center">AXI: Agent eXperience Interface</h1> <p align="center"> <a href="https://axi.md"><img alt="Website" src="https://img.shields.io/badge/axi.md-Website-blue?style=flat-square" /></a> <a href="https://x.com/kunchenguid"><img alt="X" src="https://img.shields.io/badge/X-@kunchenguid-black?style=flat-square" /></a> <a href="https://discord.gg/Wsy2NpnZDu"><img alt="Discord" src="https://img.shields.io/discord/1439901831038763092?style=flat-square&label=discord" /></a> </p> <h3 align="center">10 design principles for building agent-ergonomic apps.</h3> <p align="center"> <img src="docs/axi-splash.png" alt="AXI — Let's build apps agents love." width="800"> </p> AI agents interact with external services through two dominant paradigms today: **CLIs** which were originally built for humans, and structured tool protocols like **MCP**. Both impose significant overhead. AXI is a **new paradigm** - agent-native CLI tools built from **10 design principles** that treat token budget as a first-class constraint. ## Results ### Browser Benchmark Evaluated across 490 runs (14 tasks × 7 conditions × 5 repeats) using Claude Sonnet 4.6: | Condition | Success | Avg Cost | Avg Duration | Avg Turns | | ------------------------------ | -------- | ---------- | ------------ | --------- | | **chrome-devtools-axi** | **100%** | **$0.074** | **21.5s** | **4.5** | | dev-browser | 99% | $0.078 | 28.6s | 4.9 | | agent-browser | 99% | $0.088 | 24.6s | 4.8 | | chrome-devtools-mcp-compressed | 100% | $0.091 | 29.7s | 7.6 | | chrome-devtools-mcp-search | 99% | $0.096 | 29.4s | 7.5 | | chrome-devtools-mcp | 99% | $0.101 | 26.0s | 6.2 | | chrome-devtools-mcp-code | 100% | $0.120 | 36.2s | 6.4 | ### GitHub Benchmark Evaluated across 425 runs (17 tasks × 5 conditions × 5 repeats) using Claude Sonnet 4.6: | Condition | Success | Avg Cost | Avg Duration | Avg Turns | | ----------------------- | -------- | ---------- | ------------ | --------- | | **gh-axi** | **100%** | **$0.050** | **15.7s** | **3** | | gh (CLI) | 86% | $0.054 | 17.4s | 3 | | GitHub MCP | 87% | $0.148 | 34.2s | 6 | | GitHub MCP + ToolSearch | 82% | $0.147 | 41.1s | 8 | | MCP + Code Mode | 84% | $0.101 | 43.4s | 7 | Claude Sonnet 4.6 is the model the published runs used, not a limit of the harness. Both benchmarks take `--model`, which is passed straight through to the agent CLI, so any Claude model works - for example `--model claude-opus-4-6`. Results for other models are simply not published here, and they may respond differently to output format. ## Quick Start Reference AXI implementations: - [`gh-axi`](https://github.com/kunchenguid/gh-axi) — GitHub operations - [`chrome-devtools-axi`](https://github.com/kunchenguid/chrome-devtools-axi) — Browser automation See the full [AXI Catalog](#axi-catalog) below for all official and community AXIs. ```sh npm install -g gh-axi npm install -g chrome-devtools-axi ``` Add to your `CLAUDE.md` or `AGENTS.md`: ``` Use `gh-axi` for GitHub and `chrome-devtools-axi` for browser automation. ``` ## The 10 Principles These principles define what makes a CLI tool "an AXI". The table below is generated from [`principles.yaml`](principles.yaml); the full specification of each principle lives in the [AXI skill](.agents/skills/axi/SKILL.md). <!-- generated:principles:start --> | # | Principle | Summary | | --- | ---------------------------------- | ---------------------------------------------------------------------------------------
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:26d322d7d53b0910, llm:Repository description: "Design principles for agent ergonomics. Higher accuracy with lower token cost than both MCP and regular CLI." Language: TypeScript. No topics or README provided.
matched fp:26d322d7d53b0910, llm:Repository description: "Design principles for agent ergonomics. Higher accuracy with lower token cost than both MCP and regular CLI." Language: TypeScript. No topics or README provided.
matched fp:26d322d7d53b0910, llm:Repository description: "Design principles for agent ergonomics. Higher accuracy with lower token cost than both MCP and regular CLI." Language: TypeScript. No topics or README provided.