正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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.

Hila Shmuel

3,037 subscribers

45,929 次观看 • 4 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

YOUR AI SECOND BRAIN IS NOW OPEN SOURCE. khoj-ai just hit 36,000 stars on GitHub / For a solo founder, one agent replaces an entire corporate knowledge system. Connect your docs, PDFs, Obsidian notes, Notion pages. Claude, GPT, or a local model answers from your actual files, not the internet. > Deep research mode built in > Custom agents with their own personality > Works from browser, Obsidian, WhatsApp, phone Self-host it, your data never leaves your machine.

YOUR AI SECOND BRAIN IS NOW OPEN SOURCE. khoj-ai just hit 36,000 stars on GitHub / For a solo founder, one agent replaces an entire corporate knowledge system. Connect your docs, PDFs, Obsidian notes, Notion pages. Claude, GPT, or a local model answers from your actual files, not the internet. > Deep research mode built in > Custom agents with their own personality > Works from browser, Obsidian, WhatsApp, phone Self-host it, your data never leaves your machine.

Defileo🔮

14,416 次观看 • 23 天前

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.

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 次观看 • 5 个月前

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.

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 次观看 • 5 个月前

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.

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 次观看 • 2 个月前

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

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 次观看 • 3 个月前

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

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 次观看 • 4 个月前

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.

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

276,773 次观看 • 22 天前

No code. No complexity. Just results. Upload your files Let Inflectiv structure them. Query with AI instantly. Your private knowledge base, ready in minutes. Try it yourself:

No code. No complexity. Just results. Upload your files Let Inflectiv structure them. Query with AI instantly. Your private knowledge base, ready in minutes. Try it yourself:

Inflectiv AI ⧉

43,309 次观看 • 7 个月前

🚨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.

🚨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

358,388 次观看 • 6 个月前

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.

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 次观看 • 1 年前

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.

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

92,969 次观看 • 3 个月前

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

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 次观看 • 1 年前

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.

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 次观看 • 6 个月前

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)

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

16,670 次观看 • 11 个月前

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.

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 次观看 • 1 年前

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.

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

1,298,095 次观看 • 4 个月前

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

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

1,096,350 次观看 • 2 个月前

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. 🧵👇

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 次观看 • 8 个月前

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

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 次观看 • 8 个月前

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

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

102,169 次观看 • 1 个月前