Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Introducing Merge’s Universal Context Layer. It substantially decreases token cost while increasing accuracy. Every company uses AI wrong: Say your designer makes a deck using Claude. They teach Claude your design systems and typography. Now a Marketing hire makes a deck. None of the information your designer taught Claude... gets passed over… why? Merge fixes this: All knowledge and memory across your entire company gets stored inside our context layer. When someone on the org teaches Al, that skill lives across the entire organization instead of staying locked in their session. Your AI runs faster, cheaper, and with more accuracy. You don’t have to switch systems, incur more costs, or retrain anyone on your team, Merge runs invisibly in the background. Book a demo here:show more

Shensi Ding

7,876 subscribers

604,628 views • 1 month ago •via X (Twitter)

Education Health & Wellness Science & Technology

Anya Rossi• Live Now

Private livecam show

56 Comments

Wall Street Mav1 month ago

right 🤣🤣🤣

Shensi Ding1 month ago

We go in depth on how Universal Context Layer works and how it shares information across all AI assistants

Jaymin Shah1 month ago

realistically how much would this save my 15 person agency?

Shensi Ding1 month ago

the only way to find out is to try it out

aaron1 month ago

let's goooooo! incredibly proud to have been a part of this one

Anuj Jhunjhunwala1 month ago

Let's go!! everyone needs this ASAP

Shensi Ding1 month ago

yeaaah, get in lineee

pmm nij1 month ago

so tired of always loading the same work context into my claude and codex over and over again this is going to be a game changer for teams

Shensi Ding1 month ago

same. built a whole company out of this rage

Liam Naughton1 month ago

@prit4k So awesome!!

Shensi Ding1 month ago

@prit4k omg ty

Abel1 month ago

@merge_api Let’s goo!!

Shensi Ding1 month ago

@merge_api we rollin!

Aakash Gupte1 month ago

WOOOOO!!! This is awesome!

Shensi Ding1 month ago

ty sweet sweet aakash

Tim Bourcier1 month ago

WOOO incredible work - congrats team!!

Shensi Ding1 month ago

not me getting emotional over the comment section but here we are

HENRY NORRIS1 month ago

finally, my chatgpt and claude wont feel like i'm starting from square 1 everyday!!!

Amy Leung1 month ago

so excited for this!!!

Shensi Ding1 month ago

same, texted gil "IT'S LIVE" 40 times today, he's stopped responding

matt1 month ago

HUGE Launch!!! So proud of the team

Lanna1 month ago

woooo!!!

Shensi Ding1 month ago

woop!

Victoria1 month ago

so excitinggg

Jeanelle Wu1 month ago

go team!!!

Shensi Ding1 month ago

:)

Matt Linehan1 month ago

legit every company needs this

Pritak1 month ago

I need this ASAP to sync my Claude and Codex

Nishka Chotai1 month ago

every team needs it!!!

Sean D Kim1 month ago

Wooo!!

Shensi Ding1 month ago

lesgoooo

Chubby♨️1 month ago

Congrats :)

Shensi Ding1 month ago

thank yew

Trisha Raghuram1 month ago

Lets gooo!!!!

Shensi Ding1 month ago

LETS GOOOO

Sarah Mazur1 month ago

@merge_api not only context sharing across employees, but also across harnesses!! so pumped for this!!!!

Shensi Ding1 month ago

@merge_api you know that's right!!

Ali Tekin1 month ago

Gerçekten harika olmuş. Çalışanlar işlerini yaparken bağlam otomatik olarak güncelleniyor mu, yoksa birinin onu manuel olarak eklemesi ve güncel tutması mı gerekiyor?

Alex Groberman1 month ago

Congrats on the launch. I do think this is probably where lots of companies are headed. Teaching people better prompts only gets you so far if the AI has to relearn the company literally every single time someone opens a new chat.

Shensi Ding1 month ago

yeah, better prompts are a workaround. this is the actual fix

Austin Lenz1 month ago

This is next level

Patrick Tuohy1 month ago

@merge_api 🔥🔥

Shensi Ding1 month ago

@merge_api ty ty!

jw1 month ago

thank god fr

Shensi Ding1 month ago

ikr

Jaclyn Mack1 month ago

Incredible!!!

Shensi Ding1 month ago

no u!

Kyle1 month ago

Wowowooww

Shensi Ding1 month ago

i know kyle

Nathan1 month ago

love it when my context doesn't get bloated, huge win!

Shensi Ding1 month ago

you're welcome

Matt Mittleman1 month ago

Huge release, lets go TEAM!

Shensi Ding1 month ago

thank you, team's been heads down for this!

Bexel Initiative - Let's Talk Amendments!1 month ago

👍

Prasanna Surianarayanan1 month ago

Super useful feature which should help drive consistency across an org. Would be interesting to hear more about how users across different functions can leverage subtle variations of the same skill / workflow

Machina1 month ago

can you go into further detail about what this can do that Hermes can’t?

Related Videos

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit

NO1ennn

13,015 views • 2 months ago

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

20,626 views • 2 months ago

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Davit

423,696 views • 4 months ago

You're a designer. Your company is 1,500 people. 99% of them are using AI. Anthropic visits. Your Claude Code usage is more than theirs. This happend to Diego Zaks who runs design at Ramp, the most AI-installed company I know. So I flew to NYC and to see for myself. Special episode of State of Play below.

You're a designer. Your company is 1,500 people. 99% of them are using AI. Anthropic visits. Your Claude Code usage is more than theirs. This happend to Diego Zaks who runs design at Ramp, the most AI-installed company I know. So I flew to NYC and to see for myself. Special episode of State of Play below.

Tommy Geoco 🇺🇸

84,628 views • 6 months ago

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Khairallah AL-Awady

39,381 views • 4 months ago

$THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this$

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,568 views • 4 months ago

holy f*ck, Anthropic put an entire Claude degree on GitHub for free... 7 repos, ~465K stars, and in the right order they take you from your first prompt to an agent that reviews your PRs while you sleep. each repo is the next layer of the one before. prompt-eng-interactive-tutorial -> how to talk to Claude 9 chapters, from basic prompt structure to cutting hallucinations ↳ claude-cookbooks -> copy-paste recipes notebooks for RAG, tool use, vision, sub-agents and prompt caching ↳ claude-quickstarts -> full apps you can deploy 17 starter projects, from a support agent to Claude controlling a desktop ↳ skills -> teach Claude your workflows one folder with a SKILL.md and Claude does the task the same way every time ↳ claude-agent-sdk-python -> your own agent the Claude Code agent loop in Python, with your own tools and hooks ↳ claude-code -> the agent in your terminal reads your codebase, edits files, runs commands and handles git ↳ claude-code-action -> the agent in your repo tag Claude R Perrin on a PR or issue and it reviews the code or pushes a fix ↳ build one agent with these and you become the person your team brings every AI project to, and that’s usually where the raise starts the Opus 5.5 prompting guide that goes on top of all 7 is below ↓

holy f*ck, Anthropic put an entire Claude degree on GitHub for free... 7 repos, ~465K stars, and in the right order they take you from your first prompt to an agent that reviews your PRs while you sleep. each repo is the next layer of the one before. prompt-eng-interactive-tutorial -> how to talk to Claude 9 chapters, from basic prompt structure to cutting hallucinations ↳ claude-cookbooks -> copy-paste recipes notebooks for RAG, tool use, vision, sub-agents and prompt caching ↳ claude-quickstarts -> full apps you can deploy 17 starter projects, from a support agent to Claude controlling a desktop ↳ skills -> teach Claude your workflows one folder with a SKILL.md and Claude does the task the same way every time ↳ claude-agent-sdk-python -> your own agent the Claude Code agent loop in Python, with your own tools and hooks ↳ claude-code -> the agent in your terminal reads your codebase, edits files, runs commands and handles git ↳ claude-code-action -> the agent in your repo tag Claude R Perrin on a PR or issue and it reviews the code or pushes a fix ↳ build one agent with these and you become the person your team brings every AI project to, and that’s usually where the raise starts the Opus 5.5 prompting guide that goes on top of all 7 is below ↓

darkzodchi

14,738 views • 1 day ago

Big update for Claude Desktop and Cursor users! Now you can connect all AI apps via a common memory layer in a minute. I used the Graphiti MCP server that runs 100% locally to cross-operate across AI apps like Claude Desktop and Cursor without losing context. (setup below)

Big update for Claude Desktop and Cursor users! Now you can connect all AI apps via a common memory layer in a minute. I used the Graphiti MCP server that runs 100% locally to cross-operate across AI apps like Claude Desktop and Cursor without losing context. (setup below)

Avi Chawla

122,824 views • 11 months ago

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 and cited → acts in your tools as you, files the ticket and assigns it, with your approval → runs on a permissions graph, so it only reads with your access → chimes in only when it can help → same brain and permissions follow you into cursor and claude code when i joined supermemory, i braced for the onboarding tax. it never came. i just asked the company brain

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 and cited → acts in your tools as you, files the ticket and assigns it, with your approval → runs on a permissions graph, so it only reads with your access → chimes in only when it can help → same brain and permissions follow you into cursor and claude code when i joined supermemory, i braced for the onboarding tax. it never came. i just asked the company brain

Muskan Jain

44,155 views • 3 months ago

If you're hitting Claude Code's context limit, check your terminal output before blaming your project size. Every command Claude runs dumps raw output into your context window. git status : 76% of it is noise. A failed cargo test : 155 lines becomes 3. A grep across your codebase : same story You're not running out of context because your code is too big. You're running out because the commands are bleeding you dry before you get anywhere. RTK intercepts that output, compresses it, and hands Claude a clean version instead. 60–90% fewer tokens. Same information. Runs in the background after a one-command setup. Real numbers from 2,900+ commands: average 89% compression across the board. MIT license. Free. 39k GitHub stars. rtk init -g That's it. Restart Claude Code and every command is compressed automatically.

If you're hitting Claude Code's context limit, check your terminal output before blaming your project size. Every command Claude runs dumps raw output into your context window. git status : 76% of it is noise. A failed cargo test : 155 lines becomes 3. A grep across your codebase : same story You're not running out of context because your code is too big. You're running out because the commands are bleeding you dry before you get anywhere. RTK intercepts that output, compresses it, and hands Claude a clean version instead. 60–90% fewer tokens. Same information. Runs in the background after a one-command setup. Real numbers from 2,900+ commands: average 89% compression across the board. MIT license. Free. 39k GitHub stars. rtk init -g That's it. Restart Claude Code and every command is compressed automatically.

Charlie Hills

16,692 views • 6 months ago

Claude can handle the research and thinking. Templafy takes it from there. Instead of copying AI output into a company template and spending time fixing layouts, Templafy uses your approved templates, brand rules, and content to create a real, editable PowerPoint. That makes the jump from AI-generated ideas to a business-ready deck much easier. Add Templafy to Claude:

Manish Kumar Shah

33,179 views • 1 month ago

Introducing: Walrus Memory. 🦭 A portable memory layer that lets your AI agents carry context across every app you run them in. No more starting from zero. No more being locked into one platform.…

Introducing: Walrus Memory. 🦭 A portable memory layer that lets your AI agents carry context across every app you run them in. No more starting from zero. No more being locked into one platform.…

Walrus

40,458,606 views • 4 months ago

Advent of Claude Day 9 - Claude Code Remote & your prompt ↳ Sends the task to Claude Code on the web (runs in background) claude --teleport session_abc123 ↳ Pulls and resumes the session in your local terminal to continue working Claude at home and on the go.

Advent of Claude Day 9 - Claude Code Remote & your prompt ↳ Sends the task to Claude Code on the web (runs in background) claude --teleport session_abc123 ↳ Pulls and resumes the session in your local terminal to continue working Claude at home and on the go.

Ado

38,867 views • 10 months ago

🚀 Global Launch: Jarvix, Your Context OS is now live! Meet the next generation of personalized AI built around your context, your taste, and your way of thinking. #JarvixOS transforms how you work with AI by understanding your patterns, carrying your context across agents, and helping you move from ideas to action. Step into a new era of AI collaboration: • Discover your AI-native archetype • Build your personal AI model from your evolving AI interactions • Never start from zero - your context moves with you across sessions • Coordinate Codex, Claude Code, Gemini, Hermes, OpenClaw, and more as one connected AI team. • Turn insights into your next move, with you always in control Instead of adapting yourself to every agent, Jarvix carries the context you choose, helps you understand what it reveals, and brings the right agents together when you decide to act. Your AI tools shouldn’t work like separate assistants. They should work like one team. That’s the future of AI: Not more agents. One shared context. One Jarvix.

🚀 Global Launch: Jarvix, Your Context OS is now live! Meet the next generation of personalized AI built around your context, your taste, and your way of thinking. #JarvixOS transforms how you work with AI by understanding your patterns, carrying your context across agents, and helping you move from ideas to action. Step into a new era of AI collaboration: • Discover your AI-native archetype • Build your personal AI model from your evolving AI interactions • Never start from zero - your context moves with you across sessions • Coordinate Codex, Claude Code, Gemini, Hermes, OpenClaw, and more as one connected AI team. • Turn insights into your next move, with you always in control Instead of adapting yourself to every agent, Jarvix carries the context you choose, helps you understand what it reveals, and brings the right agents together when you decide to act. Your AI tools shouldn’t work like separate assistants. They should work like one team. That’s the future of AI: Not more agents. One shared context. One Jarvix.

Jarvix

1,692,394 views • 2 months ago

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 views • 4 months ago

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Notion

495,842 views • 6 months ago

Built a 3-layer Memory Stack that wires Claude Code directly into Obsidian with skills so it never forgets your project DNA, your notes, your standards, or your goals. Fixes most of Claude Code's memory issues.

Built a 3-layer Memory Stack that wires Claude Code directly into Obsidian with skills so it never forgets your project DNA, your notes, your standards, or your goals. Fixes most of Claude Code's memory issues.

WorldofAI

115,934 views • 7 months ago

We just cut AI spend by 75% across an entire workforce in one click. Introducing: Merge for Workforce. Without Merge, your employees are left choosing one of two options: 1. Spend 100x the cost they should be from using frontier models for everything 2. Deliver subpar work from overly restrictive model access Instead with Merge, IT can connect any identity provider and set model routing policies by team in one click. Merge pushes them to every machine through a desktop client, overriding the model configs across your team’s AI assistants and coding tools. Now every task gets the right model for the job. The result? 75x fewer tokens with faster and better output.

We just cut AI spend by 75% across an entire workforce in one click. Introducing: Merge for Workforce. Without Merge, your employees are left choosing one of two options: 1. Spend 100x the cost they should be from using frontier models for everything 2. Deliver subpar work from overly restrictive model access Instead with Merge, IT can connect any identity provider and set model routing policies by team in one click. Merge pushes them to every machine through a desktop client, overriding the model configs across your team’s AI assistants and coding tools. Now every task gets the right model for the job. The result? 75x fewer tokens with faster and better output.

Shensi Ding

525,407 views • 2 months ago

Pokee Isaac now runs inside Claude Code. And you can use it a few different ways: have Claude call Isaac for complete one-shot generations, switch directly to Isaac as your model mid-session, or run the entire Claude Code session on Isaac. For the workflow shown below, Claude plans and verifies. Isaac generates the complete artifact in a single pass. Integration built and open-sourced by ⭕ AI & Design (Marco). Here's a quick how-to video in order to get started! You can access the repo at:

Pokee Isaac now runs inside Claude Code. And you can use it a few different ways: have Claude call Isaac for complete one-shot generations, switch directly to Isaac as your model mid-session, or run the entire Claude Code session on Isaac. For the workflow shown below, Claude plans and verifies. Isaac generates the complete artifact in a single pass. Integration built and open-sourced by ⭕ AI & Design (Marco). Here's a quick how-to video in order to get started! You can access the repo at:

Pokee AI

41,097 views • 1 month ago

Every company needs killer Skills library. Not a folder in GitHub that 10% of the company knows how to use. A living library the whole company benefits from. The best deal review skill gets better every time a sales rep uses it. A great research skill gets discovered instead of rebuilt 50 times. Creating a skill should be as easy as asking to create something useful from based on the context of your work. And the top skills (and skill creators) should rise to the top. Create, share, collaborate on, discover and understand usage of skills, organize them into databases by team or use case, then use them across any of your agents. Still early, but the idea is to make Notion the best home for your company’s collective AI skills. Made a quick demo (all available now)!

Every company needs killer Skills library. Not a folder in GitHub that 10% of the company knows how to use. A living library the whole company benefits from. The best deal review skill gets better every time a sales rep uses it. A great research skill gets discovered instead of rebuilt 50 times. Creating a skill should be as easy as asking to create something useful from based on the context of your work. And the top skills (and skill creators) should rise to the top. Create, share, collaborate on, discover and understand usage of skills, organize them into databases by team or use case, then use them across any of your agents. Still early, but the idea is to make Notion the best home for your company’s collective AI skills. Made a quick demo (all available now)!

Hurley

701,712 views • 2 months ago