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Your AI agents can now explore knowledge infinitely. The new HyperGraph. Type a topic. Get a skill graph. Click any node to go deeper. Watch new concepts bloom in real time. Start with one idea. End with a complete knowledge base. Open source. Powered by Hyperbrowser.

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Hyperbrowser

9,092 subscribers

11,385 просмотров • 6 месяцев назад •via X (Twitter)

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Комментарии: 6

Фото профиля Hyperbrowser
Hyperbrowser6 месяцев назад

Open-source code here:

Фото профиля Aly
Aly6 месяцев назад

it is like obsidian web browser

Фото профиля Aparup
Aparup6 месяцев назад

🚀

Фото профиля Sky Advising Crypto Agency
Sky Advising Crypto Agency6 месяцев назад

Interesting angle. Turning a single concept into an entire knowledge web sounds like the type of tool that could actually change how research flows

Фото профиля Team Reagent
Team Reagent6 месяцев назад

Oh this is really cool! @BentlyBro_AGPT Wanna try it out?

Фото профиля Nitish Mutha ⚡️
Nitish Mutha ⚡️6 месяцев назад

from one idea to a complete knowledge base is exactly the right product loop. the graph compounds as you explore deeper. now let agents write to it and read from it in real time and you have something genuinely powerful

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Your AI agents can now learn entire skill trees from the web. Meet the new HyperSkill Give it a topic. It reads the docs and builds a skill tree your agent can navigate.Browse the graph. Download. Drop into your project. Open source. Powered by Hyperbrowser.
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Your AI agents can now learn entire skill trees from the web. Meet the new HyperSkill Give it a topic. It reads the docs and builds a skill tree your agent can navigate.Browse the graph. Download. Drop into your project. Open source. Powered by Hyperbrowser.

Hyperbrowser

96,388 просмотров • 7 месяцев назад

Your AI agents can now master entire tech stacks, not just single tools. Introducing batch mode for HyperSkill. Auto-generate dozens of SKILL. md files at once from live docs. so your agents can master complete ecosystems, not just single tools. Open-source & powered by Hyperbrowser ↓
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Your AI agents can now master entire tech stacks, not just single tools. Introducing batch mode for HyperSkill. Auto-generate dozens of SKILL. md files at once from live docs. so your agents can master complete ecosystems, not just single tools. Open-source & powered by Hyperbrowser ↓

Hyperbrowser

27,452 просмотров • 8 месяцев назад

Your favorite AI coding agents can now learn any skill from the web. We're shipping HyperSkill today. It auto-generates SKILL. md files from live docs, so your agents can master new frameworks, APIs, tools, and patterns, instantly. Open-source repo here ↓
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Your favorite AI coding agents can now learn any skill from the web. We're shipping HyperSkill today. It auto-generates SKILL. md files from live docs, so your agents can master new frameworks, APIs, tools, and patterns, instantly. Open-source repo here ↓

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51,494 просмотров • 8 месяцев назад

We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.
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We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.

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68,005 просмотров • 10 месяцев назад

We compared Cursor with Google’s new IDE, Antigravity, and the results might surprise you. Our new AI Research Comparison tool lets you drop in any URLs and instantly get side-by-side insights, scoring dashboards, and visual breakdowns. Powered by Hyperbrowser and Claude Opus 4.5 Open-source. Dropping soon.
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22,720 просмотров • 11 месяцев назад

Your AI agents can now learn multiple skills at once. /learn batch One command. All skills. Parallel. Watch Claude Code learn your entire stack at once. Powered by Hyperbrowser, Setup Guide ↓
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Your AI agents can now learn multiple skills at once. /learn batch One command. All skills. Parallel. Watch Claude Code learn your entire stack at once. Powered by Hyperbrowser, Setup Guide ↓

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25,518 просмотров • 8 месяцев назад

Your AI agents can now learn new skills from the web. And update them automatically. /learn stripe-payments Searches the docs. Scrapes the pages. No more outdated skills. Powered by Hyperbrowser, Setup Guide ↓
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Your AI agents can now learn new skills from the web. And update them automatically. /learn stripe-payments Searches the docs. Scrapes the pages. No more outdated skills. Powered by Hyperbrowser, Setup Guide ↓

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789,166 просмотров • 8 месяцев назад

We open-sourced our agent skills ecosystem, built specifically for complex end-to-end browser tasks. Type in any domain, and researches an approach to reliably complete your task, contributing it back to the knowledge base for other agents. Watch our agent fetch Amazon listings in real-time, driven entirely by a custom browser skill:
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10,312 просмотров • 5 месяцев назад

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Coding agents waste a lot of tokens just figuring out how a site is structured before they can touch it. Map it once instead. Agentmap crawls any site and turns it into a structured map, pages, flows, and the data on each, that any agent loads in one shot. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓

Hyperbrowser

15,640 просмотров • 3 месяцев назад

Knowledge graphs are infinitely better than vector search for building the memory of AI agents. With five lines of code, you can build a knowledge graph with your data. When you see the results, you'll never go back to vector-mediocrity-land. Here is a quick video:
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Knowledge graphs are infinitely better than vector search for building the memory of AI agents. With five lines of code, you can build a knowledge graph with your data. When you see the results, you'll never go back to vector-mediocrity-land. Here is a quick video:

Santiago

398,550 просмотров • 1 год назад

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.
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I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

Santiago

155,935 просмотров • 1 год назад

Building AI agents starts with a memory you can verify. The OriginTrail Decentralized Knowledge Graph (DKG) gives agents a verifiable memory layer built on structured knowledge you can trace back to its source. Brana Rakic explains 💬
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Building AI agents starts with a memory you can verify. The OriginTrail Decentralized Knowledge Graph (DKG) gives agents a verifiable memory layer built on structured knowledge you can trace back to its source. Brana Rakic explains 💬

OriginTrail

26,198 просмотров • 7 месяцев назад

knowledge graphs are INSANELY good at giving agents human-like memory! today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph. 100% open-source and self-hosted.
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knowledge graphs are INSANELY good at giving agents human-like memory! today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph. 100% open-source and self-hosted.

Akshay 🚀

57,540 просмотров • 1 год назад

Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.
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Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.

Akshay 🚀

156,686 просмотров • 1 год назад

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We're building HyperPlex. An open-source research agent that does the work you don't want to do. Give it a goal. It spawns agents, browses, reads, extracts, and returns a cited answer. Schedule it on a cron. Let it run while you sleep. Powered by Hyperbrowser.

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We're excited to announce Hyper-Research. Open-source tool for comparing any AI models, products, or research, the same engine we used to stack Cursor, Antigravity, and Windsurf side-by-side. • Drop URLs • Get instant comparisons • Scoring dashboards + visual diffs • Powered by Hyperbrowser + Claude Opus 4.5

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11,338 просмотров • 10 месяцев назад

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Cross-context Personal Knowledge Base with Social Graph🧠 Introducing Cross-context Personal Knowledge Base with Social Graph. Your Memory, Across Every Conversation Most AI forgets you the moment a chat ends. Teamily's Personal Knowledge Base remembers — across every group, every agent, and every context. Powered by your social graph, it connects the dots between your work, relationships, and ideas, so your AI always knows who you are, what you care about, and what happened before. No setup. No tagging. Just intelligence that grows with you. 🙌Try the prompt today: “visualize my knowledge base with social graph” #teamily #AI #Agent #KnowledgeBase #Social #SocialGraph

Teamily AI

13,287 просмотров • 5 месяцев назад

You can now create a REAL-TIME chatbot with any voice and customize its personality. Steps: 1. Go to ElevenLabs 2. Click on voices 3. you can type in a name for the voice 4. then you can drag in an audio file to use for your voice 5. then go to the agents tab in side panel 6. and create a new agent 7. the voice 8. Create system instructions 9. Optional (Upload knowledge docs) 10. Test This can be easily implemented into your applications. I'll make a tutorial on that soon.
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You can now create a REAL-TIME chatbot with any voice and customize its personality. Steps: 1. Go to ElevenLabs 2. Click on voices 3. you can type in a name for the voice 4. then you can drag in an audio file to use for your voice 5. then go to the agents tab in side panel 6. and create a new agent 7. the voice 8. Create system instructions 9. Optional (Upload knowledge docs) 10. Test This can be easily implemented into your applications. I'll make a tutorial on that soon.

Riley Brown

40,108 просмотров • 1 год назад

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AI agents can now start real businesses. @Meow lets your AI agent form a company, get an EIN, open a bank account, issue cards, and move money in a single prompt. Works with Claude, Cursor, ChatGPT, Gemini, and more. The first end-to-end company builder for agents.

Brandon Arvanaghi

1,249,016 просмотров • 5 месяцев назад

Sam Altman says OpenAI's new Deep Research AI agent powered by their o3 model can do "a single-digit percentage of all economically valuable tasks in the world" and this step into synthesizing knowledge will soon be followed by agents that can invent new knowledge
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Sam Altman says OpenAI's new Deep Research AI agent powered by their o3 model can do "a single-digit percentage of all economically valuable tasks in the world" and this step into synthesizing knowledge will soon be followed by agents that can invent new knowledge

Tsarathustra

178,447 просмотров • 1 год назад