工具简介
Znote AI 收录在「AI 编程工具」分类中,按付费方案提供,支持网页端。官网地址 znote.io。
如何使用
- 访问 znote.io 完成注册,先阅读快速开始文档
- 建立测试项目,按示例跑通第一个用例
- 根据实际需求调整参数与调用方式
- 确认稳定后接入生产流程,并做好错误处理与限流
查看官网原文(英文)
以下为收录时的原文,语言与页面不同,未做翻译。
Znote turns Markdown files into executable notebooks, embedding code, AI calls, and scripts in a single document. It offers local Whisper transcription, inline AI chat, and ready templates for Gmail, Jira, Slack, API tests, and data analysis—no plugins required.
官网介绍
Ask your notes, run your code, connect your tools, version it all with git — in plain .md files on your disk. Free, offline, no account.
官方常见问题
- Is Znote free?
- Yes — the app and every feature are free, with no license to buy. The AI runs on your own key (OpenAI, Ollama, OpenRouter): you connect it once and pay your provider at cost, or nothing at all with Ollama running on your machine.
- How is it different from Obsidian or Notion?
- Znote is a focused Markdown editor with four things built in: AI that answers from your own notes, code blocks you can run, MCP servers that connect your real tools, and git to version the whole vault — output appears inline, in the note you are writing. No plugins, no cloud, no subscription. And since it's all plain .md, your Obsidian vault opens as-is.
- Do I need an API key to use AI?
- Yes. The AI features need a key you provide — OpenAI, OpenRouter, or Ollama for a fully local setup. Znote walks you through it on first launch. Your models, your privacy, no markup, and nothing to buy from us.
- Where are my files stored?
- On your machine. Plain .md files in folders you choose. No cloud, no account, no telemetry by default.
- What is MCP and what can I connect?
- MCP (Model Context Protocol) is the open standard that lets AI use real tools. Declare servers in your vault — GitHub, Postgres, Slack, Linear, your filesystem, hundreds more — and your AI blocks can query, search and create through them. The config format is the same as Claude Desktop, and the servers run locally on your machine.
编程与调试 · 常用提示词
下面这些都能直接复制,把里面的变量换成你自己的情况就能用。
- TypeScript 类型设计:让错误在编译期就暴露把「什么都能传」的 interface 改成有约束的类型,重点讲可辨识联合与窄化。
- React 性能优化:先定位再改,不许盲加 memo按「渲染次数—渲染成本—数据量」三层排查,明确禁止无依据的 useMemo/useCallback。
- 慢查询拆解:从执行计划到索引,一步步收敛给出一条慢 SQL 和表结构,产出可验证的优化路径,而不是「加个索引试试」。
同类工具怎么选
下面是同一类目下已经写好的对比与替代清单。读完这个工具能做什么,接着看它和谁比、有没有更顺手的方案。
AI 编程工具类工具的对比
- TRAE、通义灵码的对比TRAE 和通义灵码对比:产品形态、Agent 能力、IDE 兼容、企业合规、上手成本,给国内开发者的建议。
- Windsurf、Cursor的对比Windsurf 和 Cursor 哪个好用?代理式编程、补全手感、项目理解范围、上手成本逐项对比,给出按开发习惯的选型建议。
- CodeGeeX、GitHub Copilot的对比CodeGeeX 和 GitHub Copilot 对比:免费额度、中文注释、补全质量、国内可用性、团队采购,附一句话选型结论。
编程开发类工具的国内替代
- Windsurf 国内替代Windsurf 需要海外网络与订阅,团队采购门槛高。这份清单给出国内可用的替代路径:独立 AI 编辑器、IDE 插件、企业私有化方案,并说明能力差距。
- Devin 国内替代Devin 主打「给一个任务、自己去改代码库」。这类自主 Agent 国内已有对应形态,但能力边界差别很大:有的只能改单文件,有的能跑测试。这份清单说明各自能接住多少工作量。
- Tabnine 国内替代Tabnine 的卖点是「可私有部署的补全」。这类需求在国内同样存在,尤其在代码不能出内网的环境里。这份清单给出可本地跑、或对私有仓库友好的补全工具,并说明各自的实际门槛。
对比结论与替代建议为编辑整理,价格与额度以各工具官网为准。
