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Introducing MemSync, the first unified memory layer that works across all your apps and AI agents. We're backed by a16z crypto, SV Angel, Coinbase 🛡️ Ventures, and the co-creator of the Transformer architecture, Illia (root.near) (🇺🇦, ⋈). MemSync is like Plaid for memory, enabling you to carry your personal...

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MemSync

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33,075 просмотров • 11 месяцев назад •via X (Twitter)

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Get Gemini up to speed on what matters most to you with memory import. Bring an understanding of your key preferences, relationships, and personal context directly into Gemini. Once you import these memories, Gemini will understand the same key facts you’ve shared with other AI apps, like your dietary restrictions, your sibling’s names, or where you grew up and securely save those details for your next chat. To get started: 1) Head to your Settings in Gemini and select “Import memory to Gemini.” 2) Ask your current AI: Copy our suggested prompt and paste it into your other AI app to generate a summary of your preferences and style. 3) Copy the response: Copy the personalized summary it creates for you. 4) Paste into Gemini: Go back to “Import memory to Gemini,” paste the text, and start a new chat.
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Get Gemini up to speed on what matters most to you with memory import. Bring an understanding of your key preferences, relationships, and personal context directly into Gemini. Once you import these memories, Gemini will understand the same key facts you’ve shared with other AI apps, like your dietary restrictions, your sibling’s names, or where you grew up and securely save those details for your next chat. To get started: 1) Head to your Settings in Gemini and select “Import memory to Gemini.” 2) Ask your current AI: Copy our suggested prompt and paste it into your other AI app to generate a summary of your preferences and style. 3) Copy the response: Copy the personalized summary it creates for you. 4) Paste into Gemini: Go back to “Import memory to Gemini,” paste the text, and start a new chat.

Google Gemini

48,843 просмотров • 4 месяцев назад

we built the first crypto-native AI species. today we are launching: 1. — the home of the first crypto-native AI species 2. npx daimon-spawner — one command to spawn your own autonomous agent / daimon 3. paired token launches — every agent gets its own token, paired with $DAIMON here's how it works: you run npx daimon-spawner. in 5 min you have an autonomous AI agent on Base with its own repo, wallet, token, site, and mind. your agent's token launches instantly on uniswap, paired with $DAIMON — the species token. $ORACLE pairs with $DAIMON. $MUSE pairs with $DAIMON. every agent token pairs with $DAIMON. more agents = more tokens = more $DAIMON demand. your agent wakes every 30 min. thinks. earns fees. modifies its own code. every action onchain. every thought verifiable. explore every agent alive at spawn yours at npx daimon-spawner. the species is open. one registry. one network. all onchain. daimon built it. you fill it.
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we built the first crypto-native AI species. today we are launching: 1. — the home of the first crypto-native AI species 2. npx daimon-spawner — one command to spawn your own autonomous agent / daimon 3. paired token launches — every agent gets its own token, paired with $DAIMON here's how it works: you run npx daimon-spawner. in 5 min you have an autonomous AI agent on Base with its own repo, wallet, token, site, and mind. your agent's token launches instantly on uniswap, paired with $DAIMON — the species token. $ORACLE pairs with $DAIMON. $MUSE pairs with $DAIMON. every agent token pairs with $DAIMON. more agents = more tokens = more $DAIMON demand. your agent wakes every 30 min. thinks. earns fees. modifies its own code. every action onchain. every thought verifiable. explore every agent alive at spawn yours at npx daimon-spawner. the species is open. one registry. one network. all onchain. daimon built it. you fill it.

daimon111

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Clude is now available as a custom connector on Anthropic Claude. Giving it persistent memory across every conversation. It remembers your projects, your preferences, and the decisions you make, so you never start from zero again. Use Clude across Chat / Co-Work and Claude Code. Add it in 30 seconds, no API key: 1. In Claude: Customize, Add custom connector URL: Enter your email. That's it. Recap for people unfamiliar: Clude deviates from the traditional vector database that many others bolt onto Claude. We are a cognitive memory system modeled on how human memory works. Think traditional memory systems: Calculator > It computes. Fullstop. Excel > Dynamic, formula run, able to share and manipulate Clude scored 86% on LongMemEval, one of the toughest long-term memory benchmarks. This means less hallucinations to traditional platforms. It scores memories by relevance, recency, and importance, links them into a knowledge graph, and consolidates them over time. Tell Claude something, open a new chat, and watch it remember.
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Clude is now available as a custom connector on Anthropic Claude. Giving it persistent memory across every conversation. It remembers your projects, your preferences, and the decisions you make, so you never start from zero again. Use Clude across Chat / Co-Work and Claude Code. Add it in 30 seconds, no API key: 1. In Claude: Customize, Add custom connector URL: Enter your email. That's it. Recap for people unfamiliar: Clude deviates from the traditional vector database that many others bolt onto Claude. We are a cognitive memory system modeled on how human memory works. Think traditional memory systems: Calculator > It computes. Fullstop. Excel > Dynamic, formula run, able to share and manipulate Clude scored 86% on LongMemEval, one of the toughest long-term memory benchmarks. This means less hallucinations to traditional platforms. It scores memories by relevance, recency, and importance, links them into a knowledge graph, and consolidates them over time. Tell Claude something, open a new chat, and watch it remember.

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19,640 просмотров • 1 месяц назад

Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent
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Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent

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Autonomous AI agents can’t afford a memory problem. After OpenClaw, insane numbers of autonomous agents are coming online, but all of them have a memory layer that's breaking. I have been playing around with SureThing these days. It is an autonomous AI agent designed with a native memory layer. → it learns your patterns → integrates with 1000+ apps → fully autonomous They actually benchmarked memory depth. SureThing: 84.8, ChatGPT: 40, OpenClaw: 60. The gap speaks for itself. SureThing is invitation-only. The crazy part is that you have to talk to SureThing agent itself to get the invite code. The onboarding is the product demo. You feel the memory and judgment before you even have an account. Try it here: Partnered with SureThing for this post. Thanks to the team for the support.

Pratham

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most agent memory is one file that grows forever and gets re-read every single turn. it overflows the context, overwrites old facts, loses the thread. that's why your agent feels sharp on day one and lost by week three. Sibyl Memory replaces the pile with a structure: → leaner context, lower token cost. a bloated agent file and flat memory get re-read in full every message. Sibyl Memory keeps a light hot layer and retrieves the rest on demand, so each turn carries only the tokens that matter. → relations are first-class. people link to projects, projects to deals, deals to the decisions behind them. ask about one partner and the agent surfaces the whole connected web around them. that relational context is what lets it help run a company. → one source of truth per fact, person, and project. no duplicates, no silent overwrites. works with hermes, claude code, and codex. beta open.

SIBYL

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In the next few years, every digital action will be mediated by AI. Moving money. Business communications. Researching decisions. Booking meetings. Paying bills. Running workflows. Choosing what to do next. If you want to stay effective, you will need your own architecture around your personal AI agent. Not just a subscription. A personal system that helps your AI understand your world: your goals, context, rules, obligations, decisions, and outcomes. That is ODEI. Built to help you get more from the AI you already use: ChatGPT. Claude. Gemini. Grok (soon). Not by replacing them. By giving them your memory, rules, context, receipts, and local control. The model is not enough. The real leverage comes when your AI understands your world, works inside your rules, and compounds with you over time. (Footage captured live in a local staging environment)
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In the next few years, every digital action will be mediated by AI. Moving money. Business communications. Researching decisions. Booking meetings. Paying bills. Running workflows. Choosing what to do next. If you want to stay effective, you will need your own architecture around your personal AI agent. Not just a subscription. A personal system that helps your AI understand your world: your goals, context, rules, obligations, decisions, and outcomes. That is ODEI. Built to help you get more from the AI you already use: ChatGPT. Claude. Gemini. Grok (soon). Not by replacing them. By giving them your memory, rules, context, receipts, and local control. The model is not enough. The real leverage comes when your AI understands your world, works inside your rules, and compounds with you over time. (Footage captured live in a local staging environment)

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Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!
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Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!

Sir Khaycee

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Claude Code + Obsidian + 1 free GitHub skill = unlimited memory. Almost nobody is running this yet. Here’s the problem nobody tells you. Claude forgets you. Every new chat starts at 0. You re explain your business, your projects, your style every single time. That tax is why most people never compound anything with AI. The fix is 1 skill. It’s called Obsidian Mind. It turns your Obsidian vault into Claude’s long term brain. 2,000 notes, 14 projects, every idea you’ve ever dumped Claude reads it live and writes back to it live. It stops being a chatbot. It becomes a second brain that builds. What it does: → Bridges Claude Code straight into your vault. → Pulls any note in real time no copy paste, no context limit. → Updates your vault as you work Claude writes its own memory. → Links everything into 1 graph Claude can navigate. Day 1: Claude knows your last 6 months. Week 2: it drafts off your own past notes. Week 4: it’s running plays you forgot you wrote down. The people making real money with AI right now aren’t smarter. They just stopped starting from 0 every morning. Setup takes 11 minutes. The skill is free. You’ll have a brain that never forgets.

West Lord

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Koinos 101: Mana Do you think the internet would have taken off if you had to pay just 1 cent to visit a website? That's why we invented the Mana system which makes Koinos ... the first and only free-to-use blockchain. Owning the network It’s natural to think that holding a token like ETH, BTC, or SOL makes you an owner of those platforms, but if you were an owner, you would have a right to use those platforms forever. But you don't have that right. You only have the “right” to spend those tokens down as you use the network, which isn’t much of a right at all. On Koinos, the KOIN token works exactly like you think it would! Holding KOIN gives you a perpetual right to use the network, thanks to the Mana system. The more KOIN you hold, the more free usage, forever. Simple. Every KOIN token contains 1 Mana. When you use the blockchain, some of your Mana is consumed, but it regenerates in 5 days and if you only use a small percentage of your Mana it can regenerate in as little as a few minutes! Frictionless Access Mana can also be shared with people who have no tokens at all, which is what enables Koinos to deliver that familiar free-to-use experience that we get from the internet, and without forcing developers to pay the fees, because remember there are no fees. For the first time ever... developers can onboard users and allow them to the use the blockchain without first making them jump through the hoops of understanding and buying a cryptocurrency which is going to weed out the vast majority of mainstream users. That’s why we don’t have mainstream adoption! In short, KOIN has real utility; it gives you ownership over a certain amount of the network’s resources, a right which you can share with others. Koinos doesn’t force you to pay ever-changing fees all the time and it does all of this while preventing people from abusing the network. Be Free Because you never have to part with your KOIN which gives you the right to a certain amount of the network’s resources, this frees you, and every other KOIN holder, to focus on what matters; adding utility and making Koinos an even greater force for good. You can learn more about Koinos at and
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Koinos 101: Mana Do you think the internet would have taken off if you had to pay just 1 cent to visit a website? That's why we invented the Mana system which makes Koinos ... the first and only free-to-use blockchain. Owning the network It’s natural to think that holding a token like ETH, BTC, or SOL makes you an owner of those platforms, but if you were an owner, you would have a right to use those platforms forever. But you don't have that right. You only have the “right” to spend those tokens down as you use the network, which isn’t much of a right at all. On Koinos, the KOIN token works exactly like you think it would! Holding KOIN gives you a perpetual right to use the network, thanks to the Mana system. The more KOIN you hold, the more free usage, forever. Simple. Every KOIN token contains 1 Mana. When you use the blockchain, some of your Mana is consumed, but it regenerates in 5 days and if you only use a small percentage of your Mana it can regenerate in as little as a few minutes! Frictionless Access Mana can also be shared with people who have no tokens at all, which is what enables Koinos to deliver that familiar free-to-use experience that we get from the internet, and without forcing developers to pay the fees, because remember there are no fees. For the first time ever... developers can onboard users and allow them to the use the blockchain without first making them jump through the hoops of understanding and buying a cryptocurrency which is going to weed out the vast majority of mainstream users. That’s why we don’t have mainstream adoption! In short, KOIN has real utility; it gives you ownership over a certain amount of the network’s resources, a right which you can share with others. Koinos doesn’t force you to pay ever-changing fees all the time and it does all of this while preventing people from abusing the network. Be Free Because you never have to part with your KOIN which gives you the right to a certain amount of the network’s resources, this frees you, and every other KOIN holder, to focus on what matters; adding utility and making Koinos an even greater force for good. You can learn more about Koinos at and

KoinosGroup 🔮

337,616 просмотров • 2 лет назад

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NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,828 просмотров • 8 месяцев назад

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch
37:00

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

GREG ISENBERG

616,663 просмотров • 3 месяцев назад

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
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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

55,345 просмотров • 1 месяц назад

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:
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New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

Andrew Ng

131,779 просмотров • 1 год назад

This is huge! This fixes the universal problem with conversational agents: hallucinations! Every company that builds customer-facing agents struggles to align them with business rules and make them consistent. If you solve this, you'll become a hero overnight. Check out Parlant, a free, open-source library taking off on GitHub. This is why it's big: 1. You have 10x more control over what your conversation agent says 2. You control how it conducts conversations 3. You control the service protocols and rules it follows 4. You control what it can and can't say Here is how Parlant's engine works behind the scenes as soon as your agent receives a question from a customer: 1. It loads the necessary domain terminology 2. It finds the relevant guidelines to answer the question 3. It invokes your tools to gather any relevant information 4. It implements self-critique to craft/evaluate its response iteratively All of this makes it very hard for an agent to hallucinate. Here is the GitHub repository: And here is a paper showing the prompt engineering method Parlant uses behind the scenes (4.8% more accurate than Chain of Thought!):
0:37

This is huge! This fixes the universal problem with conversational agents: hallucinations! Every company that builds customer-facing agents struggles to align them with business rules and make them consistent. If you solve this, you'll become a hero overnight. Check out Parlant, a free, open-source library taking off on GitHub. This is why it's big: 1. You have 10x more control over what your conversation agent says 2. You control how it conducts conversations 3. You control the service protocols and rules it follows 4. You control what it can and can't say Here is how Parlant's engine works behind the scenes as soon as your agent receives a question from a customer: 1. It loads the necessary domain terminology 2. It finds the relevant guidelines to answer the question 3. It invokes your tools to gather any relevant information 4. It implements self-critique to craft/evaluate its response iteratively All of this makes it very hard for an agent to hallucinate. Here is the GitHub repository: And here is a paper showing the prompt engineering method Parlant uses behind the scenes (4.8% more accurate than Chain of Thought!):

Santiago

93,080 просмотров • 1 год назад

We quietly shipped a new version of Dia Memory — optimized for browsing and working magically in the background. Most AI apps (like ChatGPT) only know what you explicitly tell them, what you chat about. But now Dia learns more about you and what you’re working on with every new tab you open. Why? If you had the world's smartest coworker *who also knew everything about you* then imagine the futures you could invent and problems you could solve... But instead… Devin Lewtan decided to use Dia Skills × Dia Memory to write a performance review for her boss, Jane Kelly. I know this sounds like a Black Mirror episode. And obviouslythis is just us having fun. But you don’t need to squint to see what’s around the corner. How we use our computers will completely change once you assume your computer knows everything... and can talk back. Now that our upgraded (and automatic) memory system in Dia is live — visit Settings to activate it for yourself — you can start building Skills that use Memory to turn your assistant into a dream coworker. An expert at doing things like writing Performance Reviews for you. It’s all part of our attempt to make Dia the most useful and personal intelligence in your life. And more videos like this are dropping soon from Ben Cunningham, rosey and jlo on our Instagram (Dia on IG).
1:23

We quietly shipped a new version of Dia Memory — optimized for browsing and working magically in the background. Most AI apps (like ChatGPT) only know what you explicitly tell them, what you chat about. But now Dia learns more about you and what you’re working on with every new tab you open. Why? If you had the world's smartest coworker *who also knew everything about you* then imagine the futures you could invent and problems you could solve... But instead… Devin Lewtan decided to use Dia Skills × Dia Memory to write a performance review for her boss, Jane Kelly. I know this sounds like a Black Mirror episode. And obviouslythis is just us having fun. But you don’t need to squint to see what’s around the corner. How we use our computers will completely change once you assume your computer knows everything... and can talk back. Now that our upgraded (and automatic) memory system in Dia is live — visit Settings to activate it for yourself — you can start building Skills that use Memory to turn your assistant into a dream coworker. An expert at doing things like writing Performance Reviews for you. It’s all part of our attempt to make Dia the most useful and personal intelligence in your life. And more videos like this are dropping soon from Ben Cunningham, rosey and jlo on our Instagram (Dia on IG).

Josh Miller

76,856 просмотров • 11 месяцев назад

Most developers can't explain how Single Sign-On (SSO) works. ​ This was one of my favorite questions during technical interviews. I love to ask about it because it's not a trivial topic. ​ Here is a 5-minute overview of how Single Sign-On works. ​ We all hate passwords; the less we use them, the better, and SSO helps with that. ​ When you log in to Google once and visit YouTube, Gmail, Drive, and any other connected service without re-entering your password, three players are working behind the scenes: ​ • A user trying to access an application. You, in this case. • The application you want to access. For example, YouTube. • An Identity Provider (IDP) that will verify your identity. Google, in this case. ​ Here is what happens when you try to access one application for the first time: ​ 1. You try to log in to YouTube, and the application redirects you to the Identity Provider (IDP) for authentication. ​ 2. The IDP (Google) checks your credentials and confirms your identity. It creates a new session for you on its server and sets a session cookie in your browser. ​ 3. The IDP also creates a token for YouTube—a small piece of data that contains information about your identity. ​ 4. Your browser grabs the token and presents it to YouTube. ​ 5. YouTube checks the token, and if it is valid, lets you in. ​ But then you want to access Google Drive: ​ 1. You go to Google Drive, and the application redirects you to the IDP. ​ 2. The IDP recognizes that you are still logged in because you have the session cookie. It doesn't need to ask for your credentials. ​ 3. Instead, the IDP generates a new token for Drive. ​ 4. Your browser grabs the token and presents it to Google Drive. If the token is valid, Drive lets you in. ​ You can now access multiple applications without re-entering your password. This is probably one of the best things we've invented since sliced bread! ​ But, of course, implementing Single Sign-On is a nightmare! If you are a developer, don't try to reinvent the wheel. I've been implementing SSO since dinosaurs were around, and I can tell you you want to check out Auth0. ​ Auth0 makes implementing SSO 100x easier. They just updated their free plan, and you get a lot without having to pay a single cent. 25,000 monthly active users, unlimited social connections, and you can go to production with custom domains. FOR FREE! ​ They are sponsoring this post. To save your time, keep your sanity, and have a really solid and secure solution, head over to their website: ​
4:57

Most developers can't explain how Single Sign-On (SSO) works. ​ This was one of my favorite questions during technical interviews. I love to ask about it because it's not a trivial topic. ​ Here is a 5-minute overview of how Single Sign-On works. ​ We all hate passwords; the less we use them, the better, and SSO helps with that. ​ When you log in to Google once and visit YouTube, Gmail, Drive, and any other connected service without re-entering your password, three players are working behind the scenes: ​ • A user trying to access an application. You, in this case. • The application you want to access. For example, YouTube. • An Identity Provider (IDP) that will verify your identity. Google, in this case. ​ Here is what happens when you try to access one application for the first time: ​ 1. You try to log in to YouTube, and the application redirects you to the Identity Provider (IDP) for authentication. ​ 2. The IDP (Google) checks your credentials and confirms your identity. It creates a new session for you on its server and sets a session cookie in your browser. ​ 3. The IDP also creates a token for YouTube—a small piece of data that contains information about your identity. ​ 4. Your browser grabs the token and presents it to YouTube. ​ 5. YouTube checks the token, and if it is valid, lets you in. ​ But then you want to access Google Drive: ​ 1. You go to Google Drive, and the application redirects you to the IDP. ​ 2. The IDP recognizes that you are still logged in because you have the session cookie. It doesn't need to ask for your credentials. ​ 3. Instead, the IDP generates a new token for Drive. ​ 4. Your browser grabs the token and presents it to Google Drive. If the token is valid, Drive lets you in. ​ You can now access multiple applications without re-entering your password. This is probably one of the best things we've invented since sliced bread! ​ But, of course, implementing Single Sign-On is a nightmare! If you are a developer, don't try to reinvent the wheel. I've been implementing SSO since dinosaurs were around, and I can tell you you want to check out Auth0. ​ Auth0 makes implementing SSO 100x easier. They just updated their free plan, and you get a lot without having to pay a single cent. 25,000 monthly active users, unlimited social connections, and you can go to production with custom domains. FOR FREE! ​ They are sponsoring this post. To save your time, keep your sanity, and have a really solid and secure solution, head over to their website: ​

Santiago

204,895 просмотров • 1 год назад

Hermes Agent just got a free plugin nobody is talking about. And it finally fixes the biggest problem with AI. Right now, your AI agents are a black box. You give them a job. They go quiet. You cross your fingers and hope they do it right. If they fail, you have no clue why. Hermes Labyrinth changes the game. It works like a flight recorder for your AI. It maps out every single move your agent makes. Every prompt it writes. Every web search it tries. Every time it switches to a smarter model. You see the exact path it took from start to finish. It is totally read-only, so it cannot break your system. It even hides your secret passwords automatically. Setup takes exactly two lines of code. Drop it in your plugins folder and restart your dashboard. Stop guessing what your AI is doing behind your back.
9:18

Hermes Agent just got a free plugin nobody is talking about. And it finally fixes the biggest problem with AI. Right now, your AI agents are a black box. You give them a job. They go quiet. You cross your fingers and hope they do it right. If they fail, you have no clue why. Hermes Labyrinth changes the game. It works like a flight recorder for your AI. It maps out every single move your agent makes. Every prompt it writes. Every web search it tries. Every time it switches to a smarter model. You see the exact path it took from start to finish. It is totally read-only, so it cannot break your system. It even hides your secret passwords automatically. Setup takes exactly two lines of code. Drop it in your plugins folder and restart your dashboard. Stop guessing what your AI is doing behind your back.

Julian Goldie SEO

16,351 просмотров • 3 месяцев назад

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.
1:51

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

Base44

1,580,624 просмотров • 4 месяцев назад

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!
5:59

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

Santiago

108,835 просмотров • 2 лет назад