
Sentinel SCA — Governance Infrastructure for AI Agents
@Guronnimo https://t.co/Y2IrW2QCZQ
@SentinelSCA · X
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60 projects

@Guronnimo https://t.co/Y2IrW2QCZQ
@SentinelSCA · X

Compare AI vendors across data residency, training, retention, and compliance standards.
fabijanbajo · HN
I graded 83 AI vendors on data residency, training and subprocessors

自建中转上线了 Claude Code / Codex 可用 https://t.co/F38M0RJsOP #ClaudeCode #Codex #Cursor #AI中转 #Sub2API
@Mrzxy91 · X
自建中转上线了 Claude Code / Codex 可用 #ClaudeCode #Codex #Cursor #AI中转 #Sub2API

Team-shareable library of AI prompts and agent skills for Claude Code, Cursor, and other platforms.
@promptcarrot · X

A GitHub-backed wiki for Open Knowledge Format bundles
aiobe · HN
I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups

Take notes, organize them into a knowledge base, and collaborate with your team on structured documents.
lerongwan1 · V2EX
上班前的三小时,属于我的独立开发时间 - - # 上班前的三小时,属于我的独立开发时间 白天要上班,真正能留给自己的整块时间并不多。 所以我开始在早上 5 点多起床。城市还没完全醒来,我已经坐到电脑前,用上班前的三个小时做自己的产品。 这段时间很安静,没有临时消息,也没有其他事情打断。每天只推进一点,可能只完成一个很小的任务,但它确实属于我。 早起并不轻松。不过一天最清醒的时间,正在被我用来完成真正想做的事。 我的产品,怎么才能有用户 -> [使用 NoteDeep 开始整理你的知识库]( https://www.notedeep.com) #独立开发 #副业 #程序员日常 #个人产品 #NoteDeep

Search 76,303 verified medical documents with word-for-word fact checking of clinical information.
@jip7e · X
med student in morocco, barely code, test every model. gemini/claude/grok/claude code… then codex + gpt-5.6 sol. holds long tasks, less inventing, weekly limits > 5h wall. built ancre-med with it for students here (redesign, security, full paper)

API to extract tables and structured data from documents for AI agents.
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

AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month

Tiny, precise browser tools for contact centre agents — SLA timer, discount calculator, NATO phonetic, ticket age checker, and an AI tone softener. Free, no login, no installs.
@tooleaseapp · X
Tools for contact centre staff in one place

Upload a repository to automatically generate AGENTS.md, CLAUDE.md, and governance documentation files.
@AXIS_3D_Foundry · X

Publish plans from your terminal using Claude Code workflows and AI.
@discorev · X
I've been working on - Using gpt-5.6-sol and Fable in Claude Code via CLIProxyAPI. I've found using these two together with Claude Code Workflows is a killer combination