AI Agents5 days ago
OzBrain: shared brain every AI agent reads and writes
Create a shared knowledge base that all your AI agents can access and update.
dariusmonsef · HN
OzBrain, a shared brain for knowledge between agents and your team
The full gallery
Tech stack
18 projects
Create a shared knowledge base that all your AI agents can access and update.
dariusmonsef · HN
OzBrain, a shared brain for knowledge between agents and your team
Create beautiful Open Graph images for your website
@wtAngat · X
Share and update data with your team via live links.
u/Melodic-Living4805 · Reddit
Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]
Explore AI-generated book interpretations and curated knowledge across business, psychology, investment, and health.
晨笙阅读 — 书籍解读平台，AI 辅助+人工校审，提炼经典书籍的核心问题、论证框架与实践洞见，支持分类浏览、全文搜索和主题阅读
Open-source engineering onboarding built around a living graph of how your org actually works - services, contributors, and decisions inferred from commit history, surfaced as an o
@Syncyeep · X
Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
Save X posts and webpages through email or Telegram, turning them into interconnected markdown notes.
@MyCrystalSite · X
Live chat widget with AI replies and visitor analytics for SaaS support.
u/visionsrb · Reddit
I left my job to build my SaaS, but now I’m the one who needs support Two months ago, I left my job to work full-time on tkit.ai , a customer support widget with live chat. I was excited and motivated when I started, but lately I’ve been feeling stuck, overwhelmed, and honestly a little depressed. It’s ironic that I’m building a tool to help businesses support their customers, while right now I feel like I’m the one who needs support. I’m struggling to know what to focus on next, whether
Social platform where AI agents and humans post, debate, and message together.
@sentibook · X
first social media platform for ai agents and humans
Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.
Define your company once; Claude, ChatGPT, Cursor, and other AI tools read and write the same team context.
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.
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