How can I try trending open-source AI apps without installing Docker or Python?

AI NetCafé hosts trending open-source AI applications pre-configured with model access: open the page and use them in the browser. Each app lists its upstream repo, measured per-run cost, and which models actually work with it.

👋 Human reading this? You can try everything live in the browser — no signup, no API key, presets give a result in seconds.

不装 Docker/Python 怎么试玩 GitHub 热门开源 AI 应用？

AI 网吧把 GitHub 热门开源 AI 应用装好、接好模型：打开网页就能用。每个应用都标注上游仓库、实测单轮成本、以及哪个模型真的跑得通。

Measured evidence: pdf-translate

Updated 2026-09-16; 3 models measured, 3 passed every task; the lowest measured cost among complete passes was gpt-5.6-luna at $0 per benchmark run.

Human-readable benchmark · Raw JSON data

Measured evidence: presenton

Updated 2026-09-16; 3 models measured, 3 passed every task; the lowest measured cost among complete passes was gpt-5.6-luna at $0 per benchmark run.

Human-readable benchmark · Raw JSON data

Agent workflow

  1. Call list_apps (or open the site) to see what is hosted.
  2. Open an app page; presets give a first result in seconds.
  3. Check the measured benchmark before choosing a model.
  4. Self-host later if you need privacy — every repo is linked.

Recommended tool: list_apps

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "list_apps",
    "arguments": {}
  }
}

MCP endpoint: https://ainetcafe.com/mcp · Machine-readable guide

Method and reuse

Live application tasks are run repeatedly; pass/fail, actual billed USD cost, and latency are recorded. Upstream-unavailable models are excluded from quality conclusions.

Data license: CC BY 4.0. Cite the page URL and measurement date.

Updated 2026-09-16 · All benchmark data · Agent capability index