宝宝学学学 vs MicroAgent

- 简单地滑动，就可以看到许多卡片种类，通过数百种涵盖动物、水果、字母，数字等方面的图像和发音锻炼孩子的认知能力！ - 启动应用程序，马上学习知识！ - 只需轻按“练练练”或者“猜猜猜”进入对应模式 练练练： 屏幕上的可爱插图极具吸引力，底部的选项卡允许你在前后之间迅速跳转！点击“发音”按钮，学习单词发音！ 猜猜猜： - 适合孩子的引人入胜的学习环境，包括清晰又漂亮的图片和标准的英语发音。 -点击选项卡，得到正确答案； -点击左右箭头选择前后题目； - 数百张高清图片，配有令人舒适的背景音乐 - 6个类别，更多内容！ 包括：野生动物，家养动物、水果、常见身体部位，字母、数字等 - 每个动物或物品提供 均提供图像和声音，让孩子轻松学习，快乐成长！

Learn AI agents from the inside out. MicroAgent shows you the agent loop, tool calls, planning, memory, and multi-agent coordination — the parts every other AI app hides behind a chat box. This is not another chatbot. It is a 12-lesson visual course that breaks down how a real AI agent runtime is built, from a minimal loop with one tool to a full multi-agent team with task isolation. WHY MICROAGENT • See inside every step: messages, tool calls, plans, task state, memory, collaboration • Replayable demos: deterministic scenarios you can run again and again • Source code you can follow: each lesson maps to real Swift / Python code • 12 lessons that build on each other, not 50 random tips • Built for iPhone and iPad, fully offline-readable • One-time purchase, no subscription WHAT YOU WILL LEARN ① s01 The Agent Loop — a minimal agent with a single bash tool, end to end ② s02 Tools — read, write, edit, bash; how a tool registry actually works ③ s03 TodoWrite — make the agent plan before it acts ④ s04 Subagents — isolate work and avoid context pollution ⑤ s05 Skills — load knowledge on demand with SKILL.md ⑥ s06 Compact — keep the context window healthy with summarization ⑦ s07 Tasks — file-backed task system with dependencies ⑧ s08 Background Tasks — long-running work without blocking the loop ⑨ s09 Agent Teams — multi-agent coordination via JSONL inbox ⑩ s10 Team Protocols — shutdown, plan approval, request-response patterns ⑪ s11 Autonomous Agents — idle-loop teammates that auto-claim tasks ⑫ s12 Worktree + Task Isolation — parallel execution with shared task board WHO IT IS FOR ① iOS / Swift / full-stack developers ready to move from "use AI" to "build agents" ② AI and LLM self-learners who have read about ReAct, reflection, tool calling and want to see them run ③ Tech leads, PMs and indie builders who need a real mental model of agent architecture, not just prompt tricks HOW IT IS DIFFERENT • Visual breakdown of every step — not another chat interface. See the agent loop, planning, memory and coordination in action. • Learn from deterministic demos — run the same scenario repeatedly and understand each step. • Engineering patterns for real agent systems — not just prompting tricks. • Built-in code visualization — each lesson maps directly to runnable Swift and Python source. CORE CONCEPTS COVERED agent loop, tool calling, function calling, ReAct, planning, memory, RAG, MCP, subagents, skills, context compaction, multi-agent systems, team protocols, autonomous agents, task isolation, worktree, prompt engineering, LLM runtime, agent harness, replayable trajectory, eval, prompt injection safety. PRICING Start free with s01 to s03 plus the full course overview. Unlock full access to s04–s12 including planning, memory, background tasks, multi-agent teams, autonomous agents, and worktree isolation. No subscription, ever. LANGUAGES English · 简体中文 · 日本語 — fully localized course content and UI. Contact us: sectojoy@gmail.com Terms & Conditions: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://zelonai.com/app/microagent/privacy-policy