knoku · HN

Knoku – cited AI answers from docs, files, and team knowledge

kitforai · GitHub

kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

u/Personal-Ad-131 · Reddit

Built a bookmarking app you can ask questions It's called Attic. You paste in links, videos or plain text. Later you can ask it things in normal language: "what have I been reading about lately", "what did I save and never open again". Each answer lists the saved items it used, so you can check it. It runs on your own API key (Anthropic, OpenAI or Gemini) Free while I work out what it should be. No card. Would like feedback on where to take this. Is asking questions about your own saved s

u/Abject_Nature8678 · Reddit

Spent 6 months building an app that reads your contracts — discovered I'd been paying for 3 subscriptions I'd completely forgotten about The original problem was simple: I'd missed a lease auto-renewal and got stuck for another year. I wanted something that reads your documents and tells you what to watch for. Six months later I had Goffer (goffer.ai). But the real test was dogfooding it — loading all my own documents to see what the app found. It flagged two subscription auto-renewals I'

tekbog · HN

Research Rooms for Agents

12ziyad · HN

Itsuki – shared memory for Claude Code, Cursor and 24 other AI tools

@thatmarkzhong · X

u/Lise_vine23 · Reddit

I made a free, accuracy based alternative to Perplexity Hey everyone! I’m excited to share an early beta of Ping — a free, accuracy based alternative to Perplexity, Google AI mode, and ChatGPT search Here’s what makes Ping different: Accuracy : To me the problem was the AI search was too inaccurate sometimes I always found myself checking the sources and seeing something completely different, Ai search engines today summarize links. Perplexity states: "When you ask Perplexity a ques

@vibexp_io · X

Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

u/Calm-Tomatillo-7770 · Reddit

Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.

@UdungeriPhymba1 · X

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