AI 工具AI TOOLS· CHAT-AGENT

agentic-ai-engineering

agenticloops-ai/agentic-ai-engineering

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code · opencode · copilot
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: MIT

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

Homebrew

brew install uv   # or: pipx install uv

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+1.1%+1.1%

359 → 363 stars · 11 个快照359 → 363 stars · 11 snapshots

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/agenticloops-ai/agentic-ai-engineering
原始数据哈希Raw data hash: 646777cbee998a46efceda7e96727a9c
解析时间Parsed at: 2026-10-13T23:38:50.947Z
最后一次验证Last verified: 2026-10-13T22:12:21.760Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:topic-context-engineering
分类来源Category source: rules
焦点Focus: token (5)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …ude Code, GitHub Copilot, and OpenCode. You read how real agents wor…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …de Cowork**, **Codex**, and **GitHub Copilot** — and how to build one your…"
    }
  ],
  "apiKey": "tication failures?** You need API keys from [Anthropic](https://console.anthro",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 9,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 3,
      "productivity": 3
    },
    "primary": "ai-tools",
    "secondary": "chat-agent"
  },
  "localRuntime": "install: brew, git-clone",
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 7,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}