手把手教你用 Colab 搭一个能调用工具、记住对话的 AI 智能体，还把 MCP 服务器也揉进去了，代码全开源。
本教程分步指导你在 Google Colab 中从零构建一个轻量级 AI 智能体，灵感来源于 Nanobot 架构。内容包括：实现提供者抽象层、注册工具调用功能、添加会话记忆管理、集成生命周期钩子、定义技能模块，以及部署一个 MCP 风格的工具服务器。全程不使用外部框架，让你理解消息、工具、记忆与模型响应的协作机制。最终得到一个可对接真实 LLM 提供者的智能体循环。
Build a Nanobot-Style AI Agent in Google Colab with Tool Calling, Session Memory, Skills, and MCP Servers
In this tutorial, we build a lightweight personal AI agent inspired by the architecture of nanobot, runnable entirely in Google Colab. We start from a provider abstraction, then add tool registration, session memory, lifecycle hooks, skills, and an MCP-style tool server. Rather than rely on an external framework, we recreate each building block ourselves to see how messages, tools, memory, and model responses fit together. The result is a provider-agnostic agent loop we can extend toward real LLM providers and production tools. The post Build a Nanobot-Style AI Agent in Google Colab with Tool Calling, Session Memory, Skills, and MCP Servers appeared first on MarkTechPost .