开发者工具1 month ago
pumaDB — agent memory without the database work
托管 JSON 数据库，用于存储 agent 内存，具有 REST 和 MCP 连接能力
@StuSim · X
hey Adam, I run , lightweight agent memory
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托管 JSON 数据库，用于存储 agent 内存，具有 REST 和 MCP 连接能力
@StuSim · X
hey Adam, I run , lightweight agent memory
无需登录的可视化CSV匹配工具。
ngarner · HN
ZeroGate – Fast, account-free visual CSV matching without AI
向 AI 代理发送 URL 和模式类型，获取验证的 JSON 数据。
u/RealVendex · Reddit
I built Agent API Gateway — send a URL + schema, get validated JSON for your agents Most agent stacks end with 'scrape the page and pray the parser holds.' I built a tiny gateway: send a URL + schema (product/article/company) → clean JSON. No browser farm, no fragile selectors. Live: https://agentapigw.dpdns.org $1 starter: https://agentapigw.dpdns.org/buy Free tier for eval. Built it for my own agent tooling. Feedback welcome — schemas you'd want added. submitted by /u/Re
将 GoodNotes 文件转换为 SVG、PDF 或 JSON 格式，完全本地处理。
Kaih1825 · HN
Hi HN, I'm the author of this project. I built this because I wanted my handwritten notes to truly belong to me—free to be migrated to other apps instead of being locked inside the proprietary Goodnotes ecosystem. To be honest, I have absolutely no background in reverse engineering or binary file parsing. I built this almost entirely through "vibe coding" (using LLMs as my pair programmers—mainly Gemini Pro/Flash, and occasionally Claude Sonnet). My ultimate goal is to unlock .goodnotes files so
Ecossistema de infraestrutura de automação: 376 templates com JSONs de n8n de IDs sanitizados, scripts de provisionamento e checkout Web3 em BNB Smart Chain.
@fxfire4345 · X
快速从网页复制列表和表格到 Sheets、Excel 或 Notion。
@tonylab_net · X
Just launched Yoink a fast way to grab & reuse content from the web Demo: Built to solve the constant copy/paste chaos when researching or building Lightweight. Minimal. Still early would love feedback #buildinpublic #indiehacker #webdev #productdesign #startups #nocode #AItools
将 HTML 和 Markdown 转换成可分享的链接和二维码。
@gomixo · X
和团队做了一个非常实用的小工具：HTMLShare。 现在用 AI 生成网页、报告、可视化作品越来越方便，但生成后的 HTML 文件，想分享给别人却很麻烦：要么发文件，要么部署网站，要么截图。 HTMLShare 解决的就是这个问题： 👉 欢迎体验，也欢迎反馈建议。
Bring your Apollo, Lusha and spreadsheet data into one searchable vault. Filter with 110+ filters and enrich with trusted email, phone and scraping tools.
@m1mubeen · X
用于与编码代理协作进行规划和原型设计的本地笔记本。
narwhster · HN
A notebook for prototyping with your agent
机构级金融数据API，专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy
文档解析 API，准确提取表格、公式和结构化数据给 AI 代理。
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
