Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Cabinet: local AI knowledge base. Plain Markdown files on your machine. No lock-in. (Imagine if Paperclip + Obsidian made a baby) AI workforce - your data + your agents, one place, locally, yours.

HilaShmuel's profile picture

Hila Shmuel

3,037 subscribers

45,929 görüntüleme • 4 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

The quality of your AI outputs = the quality of the context you feed it. Here’s the easiest upgrade most people miss: Connect your Obsidian vault to your AI agents. Now your agents can: read your research understand your business track your goals spot content gaps write assets from your own notes No APIs. No setup headaches. Just local markdown files powering smarter agents.
14:22

The quality of your AI outputs = the quality of the context you feed it. Here’s the easiest upgrade most people miss: Connect your Obsidian vault to your AI agents. Now your agents can: read your research understand your business track your goals spot content gaps write assets from your own notes No APIs. No setup headaches. Just local markdown files powering smarter agents.

Julian Goldie SEO

18,054 görüntüleme • 4 ay önce

OPENCLAW + OLLAMA CAN NOW REPLACE YOUR AI API BILL WITH LOCAL AGENTS RUNNING ON YOUR OWN COMPUTER. No cloud servers, no sneaky API costs, and your private data stays on your machine.
8:23

OPENCLAW + OLLAMA CAN NOW REPLACE YOUR AI API BILL WITH LOCAL AGENTS RUNNING ON YOUR OWN COMPUTER. No cloud servers, no sneaky API costs, and your private data stays on your machine.

0xMarioNawfal

180,518 görüntüleme • 4 ay önce

Meet Cabinet: Your KB + AI Team on Disk🗄️ for the longest time I’ve been frustrated that LLMs are stateless and scattered. every chat starts from zero. no memory, no team, nothing that persists. So I built Cabinet: your AI team on disk 📁 ├─ 📝 .kb/ - CSVs, notes, webapps, everything) ├─ ⏰ .jobs/ - tasks & routines └─ 🧠 .agents/ dump your data, bring your own AI, and it researches, drafts, and ships while you sleep. no db. no lock-in. just files you own.
0:28

Meet Cabinet: Your KB + AI Team on Disk🗄️ for the longest time I’ve been frustrated that LLMs are stateless and scattered. every chat starts from zero. no memory, no team, nothing that persists. So I built Cabinet: your AI team on disk 📁 ├─ 📝 .kb/ - CSVs, notes, webapps, everything) ├─ ⏰ .jobs/ - tasks & routines └─ 🧠 .agents/ dump your data, bring your own AI, and it researches, drafts, and ships while you sleep. no db. no lock-in. just files you own.

Hila Shmuel

18,629 görüntüleme • 1 ay önce

Cabinet is out of beta, we’re releasing on time 🎂🎶 your Knowledge Base + AI team, all in one. Automate tasks, fix code, write content, and plan your life all in one place. Free. Open source. Bring your own AI. The new Cabinet is here. Mac version tomorrow. for the people who are still alive: npx run cabinetai
1:00

Cabinet is out of beta, we’re releasing on time 🎂🎶 your Knowledge Base + AI team, all in one. Automate tasks, fix code, write content, and plan your life all in one place. Free. Open source. Bring your own AI. The new Cabinet is here. Mac version tomorrow. for the people who are still alive: npx run cabinetai

Hila Shmuel

37,381 görüntüleme • 3 ay önce

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like
0:20

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Nainsi Dwivedi

13,617 görüntüleme • 4 ay önce

Good news, everyone! We made it easy and free to convert your entire Airtable workspace to durable Markdown files that you own and can use offline. Obsidian Bases supports all your views, filters, and formulas. Your data is yours, take ownership of it.
1:35

Good news, everyone! We made it easy and free to convert your entire Airtable workspace to durable Markdown files that you own and can use offline. Obsidian Bases supports all your views, filters, and formulas. Your data is yours, take ownership of it.

Obsidian

151,787 görüntüleme • 13 saat önce

🚨BREAKING: The open-source Alexa killer just dropped. It's called OpenHome, a smart speaker dev kit you can run AI agents on. No Amazon. No Google. No vendor lock-in. Your data stays local. 100% Opensource.
0:28

🚨BREAKING: The open-source Alexa killer just dropped. It's called OpenHome, a smart speaker dev kit you can run AI agents on. No Amazon. No Google. No vendor lock-in. Your data stays local. 100% Opensource.

Hasan Toor

355,499 görüntüleme • 5 ay önce

Introducing Context – The AI Office Suite. Imagine all your files, perfectly organized in one place, directly connected to AI. Search, create, and work faster than ever.
1:50

Introducing Context – The AI Office Suite. Imagine all your files, perfectly organized in one place, directly connected to AI. Search, create, and work faster than ever.

Siya 🍯

34,609 görüntüleme • 1 yıl önce

Someone compressed Andrej Karpathy's entire personal knowledge base workflow into 10 minutes. Obsidian + Claude + your own files, querying a wiki that compounds instead of a chat that forgets. Best AI workflow I've tested this year.
10:07

Someone compressed Andrej Karpathy's entire personal knowledge base workflow into 10 minutes. Obsidian + Claude + your own files, querying a wiki that compounds instead of a chat that forgets. Best AI workflow I've tested this year.

Rohit

92,644 görüntüleme • 2 ay önce

Nexus brings your data, tools, and AI together in one place. Here’s a sneak peek: see how to set up data lakes, connect LLMs, build agents, and chat with your data. 🎥 Watch the walkthrough: $NAI #MeetNexus
5:30

Nexus brings your data, tools, and AI together in one place. Here’s a sneak peek: see how to set up data lakes, connect LLMs, build agents, and chat with your data. 🎥 Watch the walkthrough: $NAI #MeetNexus

Nuklai

21,102 görüntüleme • 1 yıl önce

Notion Custom Agents have arrived in Slack! Describe the teammate you need, ground it in your knowledge base, and get to work — all in one central place. Using our Realtime Search API, these agents pull from your latest Slack and Notion data to give you trusted answers without the tab-switching. Get started today with the Notion AI app in Slack Marketplace.
0:40

Notion Custom Agents have arrived in Slack! Describe the teammate you need, ground it in your knowledge base, and get to work — all in one central place. Using our Realtime Search API, these agents pull from your latest Slack and Notion data to give you trusted answers without the tab-switching. Get started today with the Notion AI app in Slack Marketplace.

Slack

254,704 görüntüleme • 5 ay önce

imagine how powerful your AI chatbot would be if you could hook it up to your own knowledge base? I just made a full walkthrough on how to build your own AI chatbot powered by your custom knowledge base inside, I cover: – how to gather and clean your docs + conversations – chunking + embeddings (so your AI actually remembers details) – setting up a vector database – connecting RAG so the bot pulls the right info when asked – deployment: getting it live for real users reply “RAG” and I’ll DM you the walkthrough + code (must be following)
0:30

imagine how powerful your AI chatbot would be if you could hook it up to your own knowledge base? I just made a full walkthrough on how to build your own AI chatbot powered by your custom knowledge base inside, I cover: – how to gather and clean your docs + conversations – chunking + embeddings (so your AI actually remembers details) – setting up a vector database – connecting RAG so the bot pulls the right info when asked – deployment: getting it live for real users reply “RAG” and I’ll DM you the walkthrough + code (must be following)

Tyler

16,635 görüntüleme • 11 ay önce

Run AI Agents locally in your terminal using Llama 3.2! gptme: Run Code, edit files, browse the web, and add context with RAG - all from your terminal. 100% Open Source.
0:38

Run AI Agents locally in your terminal using Llama 3.2! gptme: Run Code, edit files, browse the web, and add context with RAG - all from your terminal. 100% Open Source.

Sumanth

78,860 görüntüleme • 1 yıl önce

AI agents are failing in production...not a surprise. As you scale your knowledge base, embeddings start creating noise. It’s called ‘semantic collapse’ - when conversations run too long, you have hundreds of PDFs, millions of data points to give to your AI. Your AI can’t flag it because it doesn’t know it’s hallucinating. Similarity gets passed off as relevance. Fix your context. Make your agents work. Build intelligent AI. If your AI is plateauing at 50% accuracy and hallucinations are still a problem, let's talk. Book a 20 minute demo with the link in the next thread. We'll dig into your setup and find out how we can help.
0:53

AI agents are failing in production...not a surprise. As you scale your knowledge base, embeddings start creating noise. It’s called ‘semantic collapse’ - when conversations run too long, you have hundreds of PDFs, millions of data points to give to your AI. Your AI can’t flag it because it doesn’t know it’s hallucinating. Similarity gets passed off as relevance. Fix your context. Make your agents work. Build intelligent AI. If your AI is plateauing at 50% accuracy and hallucinations are still a problem, let's talk. Book a 20 minute demo with the link in the next thread. We'll dig into your setup and find out how we can help.

Nishkarsh

1,297,981 görüntüleme • 4 ay önce

Stop working for your AI. 🛑 Most tools turn you into a prompt assembly line foreman. Time to be the BOSS. Introducing @Bika_ai: The Messenger for AI Agents. Manage your entire AI workforce in one chat. 🧵👇
1:21

Stop working for your AI. 🛑 Most tools turn you into a prompt assembly line foreman. Time to be the BOSS. Introducing @Bika_ai: The Messenger for AI Agents. Manage your entire AI workforce in one chat. 🧵👇

ALICE ⚡ | AI Growth Mentor

80,861 görüntüleme • 7 ay önce

Karpathy found a way to reduce token consumption by 90% The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian Everything stays on your local machine nothing goes to the cloud
0:32

Karpathy found a way to reduce token consumption by 90% The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian Everything stays on your local machine nothing goes to the cloud

Asteri

1,090,295 görüntüleme • 2 ay önce

Running AI locally changes everything however, most people don't realise what they're missing 100% private — your data never leaves your machine Completely free — no subscriptions, no API costs No usage limits — run it as much as you want In this 17 min video, I break down exactly how to run AI models on your own hardware
17:34

Running AI locally changes everything however, most people don't realise what they're missing 100% private — your data never leaves your machine Completely free — no subscriptions, no API costs No usage limits — run it as much as you want In this 17 min video, I break down exactly how to run AI models on your own hardware

David Ondrej

39,967 görüntüleme • 7 ay önce

Holy shit... someone just solved the biggest problem in AI coding. Every time you start a new session, your AI forgets everything. XHawk captures every coding session, commit, and decision into a living knowledge base your agents actually remember. No more re-explaining your codebase. Ever. Here's how it works:
0:26

Holy shit... someone just solved the biggest problem in AI coding. Every time you start a new session, your AI forgets everything. XHawk captures every coding session, commit, and decision into a living knowledge base your agents actually remember. No more re-explaining your codebase. Ever. Here's how it works:

Nav Toor

24,406 görüntüleme • 4 ay önce

Btwww, this is my first time recording myself, so i know there are probably a lot of grammar mistakes. Sorry about that🙏 Quick technical breakdown: - Knowledge Base: Built entirely on top of my obsidian vault using its native graph view - Data Pipeline: reads and caches all my markdown files locally
3:37

Btwww, this is my first time recording myself, so i know there are probably a lot of grammar mistakes. Sorry about that🙏 Quick technical breakdown: - Knowledge Base: Built entirely on top of my obsidian vault using its native graph view - Data Pipeline: reads and caches all my markdown files locally

rhmi_fii

102,028 görüntüleme • 1 ay önce

CLAUDE + OBSIDIAN = THE ONLY AI FORMAT THAT WILL SURVIVE THE NEXT DECADE I struggled to build a functional second brain until I applied Karpathy's system -> I used to rely on walled gardens to store my thoughts, jumping from one app to the next then I moved everything to plain text in Obsidian and connected it to Claude seeing the AI read my entire folder locally completely upgraded my approach to work: > you point the AI directly at your local directory for instant context > you own your data forever because everything stays on your machine > the setup eliminates subscription fees and messy database exports > the open format is immune to startup failures because simple text lasts forever complex note apps will eventually shut down. a plain text folder works for a lifetime watch the breakdown 👇
0:28

CLAUDE + OBSIDIAN = THE ONLY AI FORMAT THAT WILL SURVIVE THE NEXT DECADE I struggled to build a functional second brain until I applied Karpathy's system -> I used to rely on walled gardens to store my thoughts, jumping from one app to the next then I moved everything to plain text in Obsidian and connected it to Claude seeing the AI read my entire folder locally completely upgraded my approach to work: > you point the AI directly at your local directory for instant context > you own your data forever because everything stays on your machine > the setup eliminates subscription fees and messy database exports > the open format is immune to startup failures because simple text lasts forever complex note apps will eventually shut down. a plain text folder works for a lifetime watch the breakdown 👇

Mr. Buzzoni

38,279 görüntüleme • 1 ay önce