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。

We launched our Company Brain!! 🧠 onboarding is a context problem: your first weeks you're not working, you're reconstructing what the team already knows. company brain is that context, queryable and able to act. shared memory for your team, in slack: → answers from the company's own knowledge, grounded... show more

Muskan Jain

22,754 subscribers

43,867 次观看 • 1 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

14 条评论

apoorv 的头像

apoorv1 个月前

super cooll

Ask GPTs 的头像

Ask GPTs1 个月前

Crazzy

Neelmani 的头像

Neelmani1 个月前

fire update ✨

Gregor 的头像

Gregor1 个月前

The context that disappears fastest is why the team ruled something out. Rejected paths leave no trace in Slack. I've gone back through old threads looking for that reasoning and it's just not there.

sha's 的头像

sha's1 个月前

Nice !

Kavin Prasath 的头像

Kavin Prasath1 个月前

Onboarding used to mean weeks of feeling lost—now it's just one question to a brain that actually remembers.

Money Bunny 的头像

Money Bunny1 个月前

saves weeks of onboarding confusion before new hires even ask their first question

Ankit Jain - Claude Anthropic Architect/ developer 的头像

Ankit Jain - Claude Anthropic Architect/ developer1 个月前

Autonomous Agents evolving.

pasandida(:)aura 的头像

pasandida(:)aura1 个月前

all supermemory fans and @DhravyaShah :))

✧ sofi ❀ 的头像

✧ sofi ❀1 个月前

Couldn't agree more

pasandida(:)aura 的头像

pasandida(:)aura1 个月前

check this as welll in content of @supermemory , actual usecase :))

Wei佳的头像

Wei佳1 个月前

The permission graph is what makes this feel deployable, not just searchable.

Shekhaliya Kelis 的头像

Shekhaliya Kelis1 个月前

Intresting, let me try this

Milind Pandey 的头像

Milind Pandey1 个月前

a piece of feedback: a little slowed down speech tempo would be merrier to understand unless you have some clip time constraint. Btw loved the product and solicit deeper implementation clips for enterprises and bottlenecks if any.

相关视频

Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇

Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇

supermemory

620,395 次观看 • 1 个月前

Most AI tools wait for you to ask. Revo already knows. It works across your meetings, email, Slack, and tickets, turning what you promised into work that’s already drafted. Invoice follow-ups. Deck updates. Replies based on what your teammates committed to. You just review it and tap “Do it.” Revo is multiplayer by design, with one shared company brain that keeps the whole team in context. Revo Actions is available to everyone today. Try it free at

Most AI tools wait for you to ask. Revo already knows. It works across your meetings, email, Slack, and tickets, turning what you promised into work that’s already drafted. Invoice follow-ups. Deck updates. Replies based on what your teammates committed to. You just review it and tap “Do it.” Revo is multiplayer by design, with one shared company brain that keeps the whole team in context. Revo Actions is available to everyone today. Try it free at

Mehdi Djabri

1,363,311 次观看 • 1 个月前

“You don’t breathe through your lungs. You only breathe when the oxygen is in the blood.” “You breathe through your blood, not through your lungs.” “That's part of our miseducation.” “We actually think we hear with our ears. You hear with your brain, the sound is picked up and put in the blood, the blood takes it to the brain and the brain hears.” “You hear with your brain, you see with your brain, you touch with your brain, you taste with your brain.” “The organ that takes the most oxygen is your brain.”

“You don’t breathe through your lungs. You only breathe when the oxygen is in the blood.” “You breathe through your blood, not through your lungs.” “That's part of our miseducation.” “We actually think we hear with our ears. You hear with your brain, the sound is picked up and put in the blood, the blood takes it to the brain and the brain hears.” “You hear with your brain, you see with your brain, you touch with your brain, you taste with your brain.” “The organ that takes the most oxygen is your brain.”

Defiant Ghost

51,129 次观看 • 4 个月前

We just launched the supermemory company brain It does everything for us. answers our questions, helps in research, and general everyday work too. You can build your own using the supermemory API, or use our pre-built slackbot. Here's exactly how we use supermemory.

We just launched the supermemory company brain It does everything for us. answers our questions, helps in research, and general everyday work too. You can build your own using the supermemory API, or use our pre-built slackbot. Here's exactly how we use supermemory.

Dhravya Shah

24,247 次观看 • 1 个月前

this is hands down the fastest way to make everyone on your team better with AI: build a shared Company Brain. your best prompts, decisions, corrections, and workflows become the default for every person and AI agent. Claude, Cursor, Codex, and every teammate start from the same playbook. one person learns something once. the whole company gets smarter. the full guide to building your own Company Brain is below:

this is hands down the fastest way to make everyone on your team better with AI: build a shared Company Brain. your best prompts, decisions, corrections, and workflows become the default for every person and AI agent. Claude, Cursor, Codex, and every teammate start from the same playbook. one person learns something once. the whole company gets smarter. the full guide to building your own Company Brain is below:

J.B.

350,435 次观看 • 26 天前

Anthropic just got outplayed again. Devs built the multiplayer assistant Anthropic couldn't, and open-sourced it. Claude Cowork is a solo desktop agent. You point it at a folder, give it a task, and it works through your local files on your own machine. The moment a teammate enters the picture, it has nothing to offer. Most real work does not happen alone. A teammate asks for a status update on something you own. The context they need is scattered across your meetings, your notes, and decisions made last week. Typing all of that out takes time you do not have. This is the gap Claude Cowork was never designed to cross. Rowboat Spaces is built on a different model entirely. Each person brings their own assistant into a shared channel. Your assistant is your second brain. It knows your meetings, your notes, and your open decisions. That personal context stays yours. When a teammate asks a question in the channel, you ask your assistant to brief them. It pulls from everything you know and delivers the answer on your behalf, attributed to you. Your teammate's assistant does the same, from their own context. Teams can draft specs, track decisions, and update shared files from plain conversation. Each assistant reads the full channel history, cross references it against what exists, and flags what is missing. The whole thing is open-source, and each assistant acts as the person it belongs to, not as a shared bot pulling from a common pool. The video below shows this in action. I joined a shared space and asked my team member for a status update. My team member asked their second brain to answer. A spec got built from that conversation, versioned, with every change tracked back to the message that triggered it. Rowboat GitHub: (don't forget to star 🌟) My co-founder also wrote a great article on building your second brain with Rowboat, and I highly recommend reading it as well. The article is quoted below.

Anthropic just got outplayed again. Devs built the multiplayer assistant Anthropic couldn't, and open-sourced it. Claude Cowork is a solo desktop agent. You point it at a folder, give it a task, and it works through your local files on your own machine. The moment a teammate enters the picture, it has nothing to offer. Most real work does not happen alone. A teammate asks for a status update on something you own. The context they need is scattered across your meetings, your notes, and decisions made last week. Typing all of that out takes time you do not have. This is the gap Claude Cowork was never designed to cross. Rowboat Spaces is built on a different model entirely. Each person brings their own assistant into a shared channel. Your assistant is your second brain. It knows your meetings, your notes, and your open decisions. That personal context stays yours. When a teammate asks a question in the channel, you ask your assistant to brief them. It pulls from everything you know and delivers the answer on your behalf, attributed to you. Your teammate's assistant does the same, from their own context. Teams can draft specs, track decisions, and update shared files from plain conversation. Each assistant reads the full channel history, cross references it against what exists, and flags what is missing. The whole thing is open-source, and each assistant acts as the person it belongs to, not as a shared bot pulling from a common pool. The video below shows this in action. I joined a shared space and asked my team member for a status update. My team member asked their second brain to answer. A spec got built from that conversation, versioned, with every change tracked back to the message that triggered it. Rowboat GitHub: (don't forget to star 🌟) My co-founder also wrote a great article on building your second brain with Rowboat, and I highly recommend reading it as well. The article is quoted below.

Akshay 🚀

113,782 次观看 • 4 天前

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The Startup Ideas Podcast (SIP) 🧃

13,598 次观看 • 3 个月前

ClickUp has launched Brain², which automatically wires in your company's projects, org setup, and decisions as context for any frontier model you choose. It allows you to pick models like Claude 4.7, GPT 5.5, or Gemini 3.1, and Brain compresses everything your team knows before the model ever sees a prompt. > Preferences Memory - Brain retains your role in the org, team, and format preferences across every session > MCP live - connects Gmail, GitHub, Figma, and Slack natively, no middleware needed > Brain Slides - polished decks from one prompt, built on designer-authored templates

ClickUp has launched Brain², which automatically wires in your company's projects, org setup, and decisions as context for any frontier model you choose. It allows you to pick models like Claude 4.7, GPT 5.5, or Gemini 3.1, and Brain compresses everything your team knows before the model ever sees a prompt. > Preferences Memory - Brain retains your role in the org, team, and format preferences across every session > MCP live - connects Gmail, GitHub, Figma, and Slack natively, no middleware needed > Brain Slides - polished decks from one prompt, built on designer-authored templates

🚨 AI News | TestingCatalog

37,880 次观看 • 4 个月前

Introducing Ask Box: a chrome extension you can install and make all your Box files into your company brain There's no setup, just install, connect your Box account and you're good to go Works with all the security feature of Box with permissions and authorizations

Introducing Ask Box: a chrome extension you can install and make all your Box files into your company brain There's no setup, just install, connect your Box account and you're good to go Works with all the security feature of Box with permissions and authorizations

Interfaze (YC P26)

81,089 次观看 • 1 个月前

Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.

Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.

Nikos

19,498 次观看 • 1 个月前

The new company brain. Context is the soul of your company, I learned today. Since I wrote a book, “Age of Context,” years ago I see that context is what we now call our private data. That data should be stored in a way to let AI agents and humans get more and more use out of it. This is precisely what PromptQL does and here Tanmai Gopal goes deep on how it now is a company brain, or, rather, a wiki that everyone updates and uses.

The new company brain. Context is the soul of your company, I learned today. Since I wrote a book, “Age of Context,” years ago I see that context is what we now call our private data. That data should be stored in a way to let AI agents and humans get more and more use out of it. This is precisely what PromptQL does and here Tanmai Gopal goes deep on how it now is a company brain, or, rather, a wiki that everyone updates and uses.

Robert Scoble

18,341 次观看 • 2 个月前

Anthony Chaffee said: "Alzheimer's is being called type 3 diabetes—you're getting insulin resistant in the brain, so you just can't get glucose into the brain for energy." He explains it further: "Your brain has been running on low energy for decades and it can just shrink and atrophy and get worse. Switching over to ketosis through a ketogenic diet and having ketones running your energy structure just bypasses that—you don't need insulin and it just goes bang right into your brain, turns on. It's like flicking a switch and your brain starts working a lot better.” Anthony Chaffee, MD also mentions: ”It can also start repairing and rebuilding because ketones cross the blood-brain barrier and reconstitute into fatty acids which make up the physical structures of the brain. Your brain is fat, your brain is cholesterol—so you need fat and cholesterol for that."

Anthony Chaffee said: "Alzheimer's is being called type 3 diabetes—you're getting insulin resistant in the brain, so you just can't get glucose into the brain for energy." He explains it further: "Your brain has been running on low energy for decades and it can just shrink and atrophy and get worse. Switching over to ketosis through a ketogenic diet and having ketones running your energy structure just bypasses that—you don't need insulin and it just goes bang right into your brain, turns on. It's like flicking a switch and your brain starts working a lot better.” Anthony Chaffee, MD also mentions: ”It can also start repairing and rebuilding because ketones cross the blood-brain barrier and reconstitute into fatty acids which make up the physical structures of the brain. Your brain is fat, your brain is cholesterol—so you need fat and cholesterol for that."

A Paradise for Parents

53,217 次观看 • 8 个月前

I can finally share what we have been working on. Meet Rory, claude code for marketing - your CMO agent. It learns from your product and brand and helps you with your day-to-day marketing tasks. Not just a content mill, an intentional marketer grounded to your product. I gave it my brain - more than 50 (and growing) tools, skills and workflows I have learned over the years. Give it a try. Tell me what you think (link to sign up in the first comment)

Madhukar Kumar

477,147 次观看 • 7 个月前

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

Ronin

15,071 次观看 • 1 个月前

The supermemory company brain is super powerful It is also insanely token efficient. So we're decreasing its pricing to just $100/month. You can use it with any model (Claude Fable etc) and connect it to all your tools, you can have a thousand employees. Just 100

The supermemory company brain is super powerful It is also insanely token efficient. So we're decreasing its pricing to just $100/month. You can use it with any model (Claude Fable etc) and connect it to all your tools, you can have a thousand employees. Just 100

Dhravya Shah

50,318 次观看 • 1 个月前

Meet the minds building supermemory! 🧠 Our research engineer Prasanna breaks down how memory actually works, in your head, and in AI. inside the episode: → why forgetting is a feature and not a failure → what your hippocampus inside brain is really doing all day → how "dreaming" turns a messy day into long-term memory → what the AI labs get right, and wrong, when they copy the brain → why a bigger context window still isn't memory the line worth sitting with: stop asking where memory is stored. start asking what gets kept, and why the brain chose it. full episode below ↓

Meet the minds building supermemory! 🧠 Our research engineer Prasanna breaks down how memory actually works, in your head, and in AI. inside the episode: → why forgetting is a feature and not a failure → what your hippocampus inside brain is really doing all day → how "dreaming" turns a messy day into long-term memory → what the AI labs get right, and wrong, when they copy the brain → why a bigger context window still isn't memory the line worth sitting with: stop asking where memory is stored. start asking what gets kept, and why the brain chose it. full episode below ↓

supermemory

13,926 次观看 • 1 个月前

Your brain wasn't built to hold everything. So we built Thine It runs in the background. Captures the context of your work and life. And gives it back when you need it. Comment thine and we'll DM you a beta invite.

Your brain wasn't built to hold everything. So we built Thine It runs in the background. Captures the context of your work and life. And gives it back when you need it. Comment thine and we'll DM you a beta invite.

Pratyush Rai

285,715 次观看 • 4 个月前

Memory Store (Memory Store) gives your team and AI agents a shared company brain. Your team's knowledge & decisions are scattered across slack, emails, and people's heads. Memory Store turns them into a living wiki for your agents and teammates. Congrats on the launch, Ishita Jindal & Diwank Singh Tomer!

Memory Store (Memory Store) gives your team and AI agents a shared company brain. Your team's knowledge & decisions are scattered across slack, emails, and people's heads. Memory Store turns them into a living wiki for your agents and teammates. Congrats on the launch, Ishita Jindal & Diwank Singh Tomer!

Y Combinator

246,529 次观看 • 4 个月前

In twelve months, EVERY company will be running a Company Brain. The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up. Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution. The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in. You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.

In twelve months, EVERY company will be running a Company Brain. The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up. Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution. The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in. You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.

ericosiu

338,111 次观看 • 3 个月前

If you don't know what a RAG system is, you're already behind. Plenty of people are still typing questions into ChatGPT and pasting answers back out. That's the beginner level. You're renting a smart stranger who forgets you the second you close the tab and makes things up, because it has never seen your actual work. A RAG system is a completely different level of using AI. You build an AI plugged into your own world. Your files, company's docs, notes. It's not pulling from the internet, it only knows what you fed it. Ask it anything and it digs through your data, finds the answer, and shows you which document it came from. That's the gap. One person is asking a chatbot for generic answers. The other has built a private expert that knows their business cold and answers with receipts. And that gap is worth real money: > At work, the person who can wire a company's knowledge into an AI that actually answers correctly is rare and paid like it. > As a business, companies pay serious money for a system that reads their internal docs and answers staff and customers accurately. You build it once, you sell it. > For yourself, you get a second brain that actually remembers. Same skill behind all three, and it's still rare enough to be worth learning. Full breakdown in the article below.

If you don't know what a RAG system is, you're already behind. Plenty of people are still typing questions into ChatGPT and pasting answers back out. That's the beginner level. You're renting a smart stranger who forgets you the second you close the tab and makes things up, because it has never seen your actual work. A RAG system is a completely different level of using AI. You build an AI plugged into your own world. Your files, company's docs, notes. It's not pulling from the internet, it only knows what you fed it. Ask it anything and it digs through your data, finds the answer, and shows you which document it came from. That's the gap. One person is asking a chatbot for generic answers. The other has built a private expert that knows their business cold and answers with receipts. And that gap is worth real money: > At work, the person who can wire a company's knowledge into an AI that actually answers correctly is rare and paid like it. > As a business, companies pay serious money for a system that reads their internal docs and answers staff and customers accurately. You build it once, you sell it. > For yourself, you get a second brain that actually remembers. Same skill behind all three, and it's still rare enough to be worth learning. Full breakdown in the article below.

Yarchi

32,840 次观看 • 2 个月前