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Vibe coding 感觉很多软件都可以自己弄了 想试着写点东西,给自己vibe了一个网页写作的markdown编辑器.... 按照书本的排版,支持章节添加 ,支持导出txt 哈哈哈哈 就是感觉自己啥都写不出来
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Grok Build officially reaches v1.0.0, rapidly becoming one of the most powerful coding harnesses in the world After 100+ updates in just over 10 weeks, SpaceXAI’s coding agent has hit a major milestone.......with a smarter dashboard, a more polished developer experience, stronger reliability, safer permission handling, and meaningful performance improvements across the platform The pace at which SpaceXAI is shipping Grok Build is totally insane Release Notes: v1.0.0 Features: • Dashboard rows show a short summary of what the agent did in the previous turn • Extensions modal groups items alphabetically with collapsible Skills sections • Grok skips the project-directory prompt when launched from home or other non-project directories • `/feedback` opens a dedicated report box instead of prompt mode • Auto theme detection works over SSH and inside tmux • Markdown tables reflow inside cells on narrow panes instead of clipping • Permission prompts show the complete script; long bash bodies expand with `Ctrl-F` Bug Fixes: • MCP tools that return images no longer drop or corrupt large screenshots • Sandboxed Grok starts on large directories with many deny-glob matches • Rapid send-now presses no longer lose earlier queued messages • Esc and stop prevent background tasks from restarting the model after cancel • Login no longer skips when an invalid API key is in the environment • Model picker and command palette work while reviewing a plan • Tab and Esc behave consistently on question, permission, and cancel-turn cards • `/new` from the dashboard returns to the dashboard from an empty prompt • Codebase restore no longer hangs on large or shallow git repositories • Remote resume restores conversation only unless `--restore-code` is passed • Copying CJK text with the mouse includes every character at the selection edges • API errors appear as clean banners instead of raw JSON dumps • Typing exit or quit in the dashboard exits the CLI • Mode indicator (plan/agent/ask) stays in sync after resume and mode changes • `/delete` returns to the dashboard when you delete a session opened from it • Enter in the slash command menu runs the highlighted command • Grok retries more server errors during outages • Session-only slash commands show a message when used from the dashboard • Queued prompts stay visible while waiting on subagents, and slash/image rows can be reordered • Auto recaps no longer appear mid-turn or while busy • `/btw` error messages wrap fully Performance: • Forking very large sessions no longer uses many times the session file size in memory • Exiting an empty session is instant, even on slow networks
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🚨 NEW GROK BUILD UPDATE 🚨 Grok Build v1.0.0 is now live. SpaceXAI is pushing new Grok Build updates almost daily. Updates: UI & navigation • Dashboard rows show a short summary of what the agent did in the previous turn • Extensions modal groups items alphabetically with collapsible Skills sections • Grok skips the project-directory prompt when launched from home or other non-project directories • /feedback opens a dedicated report box instead of prompt mode • Auto theme detection works over SSH and inside tmux • Markdown tables reflow inside cells on narrow panes instead of clipping • Typing exit or quit in the dashboard exits the CLI • Mode indicator (plan/agent/ask) stays in sync after resume and mode changes • /delete returns to the dashboard when you delete a session opened from it • Enter in the slash command menu runs the highlighted command • Session-only slash commands show a message when used from the dashboard • /new from the dashboard returns to the dashboard from an empty prompt Permissions & input • Permission prompts show the complete script; long bash bodies expand with Ctrl-F • Tab and Esc behave consistently on question, permission, and cancel-turn cards • Rapid send-now presses no longer lose earlier queued messages • Esc and stop prevent background tasks from restarting the model after cancel • Queued prompts stay visible while waiting on subagents; slash/image rows can be reordered Reliability & correctness • MCP tools that return images no longer drop or corrupt large screenshots • Sandboxed Grok starts on large directories with many deny-glob matches • Login no longer skips when an invalid API key is in the environment • Model picker and command palette work while reviewing a plan • Codebase restore no longer hangs on large or shallow git repositories • Remote resume restores conversation only unless --restore-code is passed • Copying CJK text with the mouse includes every character at the selection edges • API errors appear as clean banners instead of raw JSON dumps • Grok retries more server errors during outages • Auto recaps no longer appear mid-turn or while busy • /btw error messages wrap fully • Forking very large sessions no longer uses many times the session file size in memory • Exiting an empty session is instant, even on slow networks Update now with "grok update" command.
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这个工具能阻止AI代理每次都重新学习你的代码库 • Graft构建持久化Markdown知识地图,让代理花更少时间搜索代码 • 减少工具调用、延迟和成本,同时保持编码准确性 仓库:
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Every API call gives you a choice: wait for the result now, or collect it later. Agentic Document Extraction (ADE) works both ways when you run a Parse or Extract. The first way is synchronous. You send the request and wait on the line until the result comes back. Simple, and right when someone needs the answer immediately. The second is asynchronous. You submit the work, get a ticket, and pick up the result once it is done. Nothing sits waiting on an open line. The result is identical either way. Same Markdown from Parse, same fields from Extract. You are only choosing how long you wait. So why ever hand it off? Two reasons. Big jobs need it. A single asynchronous Parse Job takes files up to 1 GB or 6,000 pages, far more than one live request can hold. It also costs less. Waiting on the line runs at the top rate, since something is blocked on it. Hand the job off and you drop to a cheaper tier for the same result. The rule of thumb is one question. If a person or an agent is waiting on the answer, run it synchronously. If nothing is waiting, submit a job and pay less. Full breakdown, plus the service tier companion, in the comments.
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Mac选中文件,按空格键,可预览图片、HTML等很多格式,但为啥不支持 Markdown? 查了下,原来装个软件就行,指令: brew install --cask qlmarkdown xattr -d /Applications/QLMarkdown.app qlmanage -r 装完运行一次QLMarkdown这个App,未来就支持按空格键预览了,爽!
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才发现 firecrawl 新出的这个开源的 anydoc 文件转换器非常棒:支持 Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF 等等转换为 GitHub-Flavored Markdown. Rust 写的,还有 Node, Python, browser, and CLI bindings,还有skills 支持,这是文件转换的大一统了吧。 还有在线的 demo 可以用一下: 简单试了下,效果很不错。
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🚀发现一个很适合搭配 Pi、Claude Code、Cursor 使用的开源知识库项目:pi-llm-wiki。 它采用 Karpathy 提出的 LLM Wiki 思路,把 URL、PDF、Markdown、JSON、XML 等原始资料,转化为可持续维护、相互链接的本地 Wiki,而不是每次提问都重新进行一次性 RAG。 核心亮点: ▪️ 自动采集、整理和关联不同来源 ▪️ 区分原始资料、来源摘要、概念页和综合分析 ▪️ 兼容 Obsidian,可直接查看和编辑 ▪️ 原生支持 OKF v0.2,知识库不被特定应用锁定 ▪️ 同时搜索个人知识库与项目知识库 ▪️ 自动检查断链、孤立页面、内容冲突和知识缺口 ▪️ 通过 MCP 接入 Claude Code、Cursor、Windsurf ▪️ 可选记录 Agent 的任务轨迹,并沉淀为可复用 Skills 这不是简单的“让 AI 搜索笔记”,而是让 AI 帮你长期维护一套会不断积累、更新和复利的知识系统。
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Codex、WorkBuddy 等 Agent 已经能读取 PDF。面对扫描件、多栏排版、跨页表格和公式时,解析质量仍会直接影响后续的检索、问答和数据提取。 Mac 上可以本地运行的 PDF parser 很多,PaddleOCR、GLM-OCR、MinerU 等工具的安装方式和运行环境各不相同。文档类型变化后,想换一个 parser 重新处理,通常还要重新配置。 DocDot @docdotai 把多个本地 parser 集中到了同一个 CLI 中管理。 官方安装命令: curl -fsSL | bash 安装 DocDot 后,可以在 NanoDoc、PaddleOCR、GLM-OCR、MinerU、LiteParse 之间安装和切换,并将 PDF 解析为 Markdown 或 JSON。后续还会继续增加新的 parser。 DocDot 也提供了 Web Mode。运行 `docdot web` 后,可以在浏览器中并排比较 3 个 parser 的结果。遇到复杂表格、公式或特殊排版时,可以根据实际输出选择更合适的解析器。 根据官方说明,安装程序还能扫描本机的 Codex、Claude Code、OpenClaw、Hermes 等 Agent,并配置相应的 Skill;需要接入其他应用时,也可以通过 MCP 调用。解析在本机运行,PDF 无需上传,目前主要面向 Apple Silicon Mac。 我在 Mac 上安装了 DocDot 和 NanoDoc,并准备了一页包含中英文、表格和公式的 PDF。 首次启动完成模型编译后,再次解析同一份 PDF 用时约 2.3 秒。正文和公式基本准确,表格结构得到保留,小字号表头仍有少量误识别。 这只是一份单页样本,不能替代完整的性能测试。官方技术报告使用了 4,231 页、64 类文档进行比较,NanoDoc 的综合质量和 Table TEDS 在参测解析器中均排名第一。 DocDot 今天在 Product Hunt 上线:
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Good news, everyone! We made it easy and free to convert your entire Airtable workspace to durable Markdown files that you own and can use offline. Obsidian Bases supports all your views, filters, and formulas. Your data is yours, take ownership of it.
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