与「curl」相关的搜索结果

10. 增强版curl，完美模拟真实浏览器指纹。你的请求看起来就像真人用Chrome。 那些昂贵爬虫API背地里用的小把戏，现在免费给你。有公司为这个月付2000块。

Embarrassing that Dems nominated this leftist clown for Governor in Ohio!!!! Washington Examiner: Amy Acton cried on the job, once found ‘curled up’ on floor before COVID meeting during tenure as Ohio health official: Staffers

Introducing Headlong, an open source microharness for persistent agents: self-guided agents that think continuously. Most agent harnesses are reactive: you send a task, the agent completes it, and then it sits frozen until the next request. Cron jobs and heartbeats wake it up to run a checklist and put it back to sleep. A Headlong agent is never asleep. It keeps generating thoughts about whatever it decides is interesting, in a self-guided loop inspired by human inner monologue. Your message doesn't start a session. It's one more observation that lands in the agent's thought stream, and the agent decides if and when to reply. Headlong is built on the idea of persistent agency: continuous inner thought generation between external interactions. The agent sets its own interests and priorities, comes up with its own projects, and sometimes pings you unprompted with progress. To keep our prototype as simple and small as possible, we implemented Headlong as a microharness: a complete agent harness in under 10K lines of Bash, organized as a handful of small executables. It includes a loop that generates the next thought, shellm (a recursive language model written in Bash), a trajectory stored as a DAG of jsonl files, and context as a projection of that trajectory. We've been running one Headlong agent internally at Laude for several weeks. The whole team talks to it over Slack and Telegram, and every conversation lands in its single stream of thought. It works in its own fork of Headlong and we've pulled over 50 of its commits into main. One night, with nobody talking to it, it went back to check whether a recall process it had built was actually wired into its mind, found that it wasn't, diagnosed and fixed the bug, and verified the fix end to end. 48 minutes, no human asked for the fix or was in the loop at any point. Every step is a timestamped line in its log. Things broke too, and we wrote those up. Background thinking costs us $1 to $2 an hour, our agent stopped its own service three times by accident, and self-delegation died on day one. Details in the post. One line installs everything and starts an agent. Use a dedicated sandbox and spend-capped API key; it runs real shell commands and thinks around the clock. Headlong is research software, be careful! curl -fsSL | bash Launch post: Repo: Headlong is a @LaudeInstitute / MIT collaboration.

10. 升级版curl，完美伪装真实浏览器。你的请求看起来就像用Chrome的真人发的。 那些收2000块月费的爬虫API暗地里就是这套把戏。代码就在这儿，开源了。

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：

Introducing Ori Eval: the easiest way to write your first eval. There's no definitive best model, only the best model for each task. Ori Eval leverages OpenRouter's APIs for each task in your codebase, and then evaluates the results. curl -fsSL