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Introducing Faceless Clipping Channel, a fully autonomous company run by agents on Naive. One prompt → complete team of agents running your own faceless short-form empire: > Research your niche + current trending topics daily > Scan long-form content for high-ROI clips > Extract and score the most likely... show more

naïve

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28,709 views • 3 months ago •via X (Twitter)

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Gary Vee just revealed his "start from zero" playbook and it's stupidly simple: This is the new startup playbook: Build a tiny product. Turn long-form into clips. Post across LinkedIn, X, TikTok, YouTube Shorts, and Reels. Let distribution compound. Most founders don’t need more ideas. They need a clipping engine. I wrote a full breakdown on how to automate your entire social media with a clipping agency below. Bookmark this for the weekend.

Gary Vee just revealed his "start from zero" playbook and it's stupidly simple: This is the new startup playbook: Build a tiny product. Turn long-form into clips. Post across LinkedIn, X, TikTok, YouTube Shorts, and Reels. Let distribution compound. Most founders don’t need more ideas. They need a clipping engine. I wrote a full breakdown on how to automate your entire social media with a clipping agency below. Bookmark this for the weekend.

Ziwen

190,426 views • 3 months ago

7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.

7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.

RGK

50,024 views • 2 months ago

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

LangChain

33,192 views • 1 year ago

Logan Ideker (Logan Withaf) is one of the fastest growing live streamers and content creators in gambling and entertainment. With 934K+ followers on TikTok, 555K+ on Instagram, and over 75 million likes, Logan has built a massive audience through raw, unfiltered desktop streams and viral moments on Kick at His clips regularly go viral across TikTok, Instagram Reels and YouTube Shorts, making him one of the most clippable streamers on the platform. Clipping powered by Clip Capital (Adam), the world's largest content clipping and distribution agency, operating a network of 10,000+ clippers across platforms including TikTok, Instagram Reels, YouTube Shorts, Twitter, Snapchat and more. With over 1 billion views generated, $1,000,000+ paid out to clippers worldwide and industry leading results for every client, Clip Capital is the #1 clipping agency for top streamers, creators, podcasters, entrepreneurs, founders, athletes and entertainers online looking to dominate short form content. Powering clipping campaigns across Kick, Twitch, YouTube and every major streaming and social platform, with content rewards, clipper payouts and full campaign management through Discord and Whop. Founded by the duo of Luka Splinter (Luka Filipovic), also known as Luka Filipovic from Croatia, and Jaidev Bhogal (@jaidevbhogal) from the United Kingdom. Both former clippers themselves, Luka and Jaidev built Clip Capital from the ground up turning their own experience in the clipping space into the most results driven agency in the industry. For business inquiries and partnerships: #loganwithaf #loganideker #clipcapital #jaidevbhogal #lukasplinter #bestclippingagency #clipping #clippingcampaign #contentrewards #whop

Logan Ideker (Logan Withaf) is one of the fastest growing live streamers and content creators in gambling and entertainment. With 934K+ followers on TikTok, 555K+ on Instagram, and over 75 million likes, Logan has built a massive audience through raw, unfiltered desktop streams and viral moments on Kick at His clips regularly go viral across TikTok, Instagram Reels and YouTube Shorts, making him one of the most clippable streamers on the platform. Clipping powered by Clip Capital (Adam), the world's largest content clipping and distribution agency, operating a network of 10,000+ clippers across platforms including TikTok, Instagram Reels, YouTube Shorts, Twitter, Snapchat and more. With over 1 billion views generated, $1,000,000+ paid out to clippers worldwide and industry leading results for every client, Clip Capital is the #1 clipping agency for top streamers, creators, podcasters, entrepreneurs, founders, athletes and entertainers online looking to dominate short form content. Powering clipping campaigns across Kick, Twitch, YouTube and every major streaming and social platform, with content rewards, clipper payouts and full campaign management through Discord and Whop. Founded by the duo of Luka Splinter (Luka Filipovic), also known as Luka Filipovic from Croatia, and Jaidev Bhogal (@jaidevbhogal) from the United Kingdom. Both former clippers themselves, Luka and Jaidev built Clip Capital from the ground up turning their own experience in the clipping space into the most results driven agency in the industry. For business inquiries and partnerships: #loganwithaf #loganideker #clipcapital #jaidevbhogal #lukasplinter #bestclippingagency #clipping #clippingcampaign #contentrewards #whop

Eaxi

35,797 views • 1 month ago

this Adaptive AI agent tells brands exactly what tiktok content is going viral in their niche before they brief a single creator here's how brands are running campaigns that actually convert on Content Rewards: -> drop your niche hashtag in and it scans TikTok for the highest performing content right now -> filters by view velocity, engagement rate, and watch time -> identifies the exact hooks, formats, and topics driving views in your market -> maps out the patterns every viral video in your niche shares -> generates a full content brief your creators can execute immediately -> launch it as a clipping campaign on content rewards and scale with hundreds of creators -> tracks what's working and updates the brief as trends shift -> every step from trend research to live campaign is automated what used to cost a full agency retainer now runs on autopilot. reply "AGENT" + RT and i'll send you the full breakdown so you can launch your first data-driven creator campaign this week (must be following)

this Adaptive AI agent tells brands exactly what tiktok content is going viral in their niche before they brief a single creator here's how brands are running campaigns that actually convert on Content Rewards: -> drop your niche hashtag in and it scans TikTok for the highest performing content right now -> filters by view velocity, engagement rate, and watch time -> identifies the exact hooks, formats, and topics driving views in your market -> maps out the patterns every viral video in your niche shares -> generates a full content brief your creators can execute immediately -> launch it as a clipping campaign on content rewards and scale with hundreds of creators -> tracks what's working and updates the brief as trends shift -> every step from trend research to live campaign is automated what used to cost a full agency retainer now runs on autopilot. reply "AGENT" + RT and i'll send you the full breakdown so you can launch your first data-driven creator campaign this week (must be following)

adam

333,287 views • 4 months ago

watched a 20-year-old kid casually explain how he makes $10k/month while sleeping and i’m convinced 99% of people are missing this the entire setup: pick a YouTube channel that posts often. drop the link into one tool. plug in your TikTok, Instagram, YouTube Shorts. close the laptop. from that point on, AI does everything catches every new upload, slices the viral moments, captions them, blasts them across every platform. > 1M views ≈ $2,000 >zero editing, zero posting, zero stress > 10 min to set up, runs on autopilot forever you’re not making content. you’re owning a content factory. the full step-by-step is in the article below exact tools, exact stack, exact playbook Save it

watched a 20-year-old kid casually explain how he makes $10k/month while sleeping and i’m convinced 99% of people are missing this the entire setup: pick a YouTube channel that posts often. drop the link into one tool. plug in your TikTok, Instagram, YouTube Shorts. close the laptop. from that point on, AI does everything catches every new upload, slices the viral moments, captions them, blasts them across every platform. > 1M views ≈ $2,000 >zero editing, zero posting, zero stress > 10 min to set up, runs on autopilot forever you’re not making content. you’re owning a content factory. the full step-by-step is in the article below exact tools, exact stack, exact playbook Save it

AdiiX

2,730,034 views • 3 months ago

How To Create Viral AI Fruit Videos for FREE (No Paid Tools Needed) AI fruit videos are going insanely viral on TikTok and YouTube Shorts, getting millions of views with simple storytelling and animated characters. In this video, I show you how to create viral AI fruit videos completely for free using tools like ChatGPT, Google Gemini, and Google Veo 3. No paid tools, no subscriptions, just a full step-by-step process to help you build your own viral content. You will learn how to recreate trending fruit videos with your own characters, generate consistent scenes using AI, and turn images into fully animated videos with dialogues. This method is perfect for beginners who want to start creating viral short-form content without spending any money. Like, Retweet and Bookmark. Follow me BIG CHRIS

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BIG CHRIS

69,182 views • 4 months ago

this is f**king dangerous watched a 18-year-old kid casually explain how he makes $10k/month using AI while sleeping and i’m convinced 99% of people are missing this the entire setup: pick a YouTube channel that posts often. drop the link into one tool. plug in your TikTok, Instagram, YouTube Shorts. close the laptop. from that point on, AI does everything catches every new upload, slices the viral moments, captions them, blasts them across every platform. > 1M views ≈ $2,000 >zero editing, zero posting, zero stress > 10 min to set up, runs on autopilot forever you’re not making content. you’re owning a content factory. the full step-by-step is in the article below exact tools, exact stack, exact playbook save it

this is f**king dangerous watched a 18-year-old kid casually explain how he makes $10k/month using AI while sleeping and i’m convinced 99% of people are missing this the entire setup: pick a YouTube channel that posts often. drop the link into one tool. plug in your TikTok, Instagram, YouTube Shorts. close the laptop. from that point on, AI does everything catches every new upload, slices the viral moments, captions them, blasts them across every platform. > 1M views ≈ $2,000 >zero editing, zero posting, zero stress > 10 min to set up, runs on autopilot forever you’re not making content. you’re owning a content factory. the full step-by-step is in the article below exact tools, exact stack, exact playbook save it

Khairallah AL-Awady

744,891 views • 4 days ago

watched a 18-year-old kid casually explain how he makes $10k/month using AI while sleeping and i’m convinced 99% of people are missing this the entire setup: pick a YouTube channel that posts often. drop the link into one tool. plug in your TikTok, Instagram, YouTube Shorts. close the laptop. from that point on, AI does everything catches every new upload, slices the viral moments, captions them, blasts them across every platform. > 1M views ≈ $2,000 >zero editing, zero posting, zero stress > 10 min to set up, runs on autopilot forever you’re not making content. you’re owning a content factory. the full step-by-step is in the article below exact tools, exact stack, exact playbook save it

watched a 18-year-old kid casually explain how he makes $10k/month using AI while sleeping and i’m convinced 99% of people are missing this the entire setup: pick a YouTube channel that posts often. drop the link into one tool. plug in your TikTok, Instagram, YouTube Shorts. close the laptop. from that point on, AI does everything catches every new upload, slices the viral moments, captions them, blasts them across every platform. > 1M views ≈ $2,000 >zero editing, zero posting, zero stress > 10 min to set up, runs on autopilot forever you’re not making content. you’re owning a content factory. the full step-by-step is in the article below exact tools, exact stack, exact playbook save it

Rahul

221,189 views • 2 months ago

Introducing the end of influencer marketing. Startups spend thousands on creators and agencies before they even get their first 1000 customers. We built Fastlane to fix that. Fastlane can: ➤ Create hyper-realistic AI influencers tailored for your brand ➤ Generate thousands of viral TikToks, Reels and Shorts cloned from trending content ➤ Schedule all content directly to TikTok, Instagram and YouTube in one click ...and more Fastlane gives every company its own infinitely scalable influencer army. No dealing with creators. No managing campaigns. No more burning cash. Just enter your website and start generating content in seconds. The influencer hire is now optional.

Fastlane

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Agent development is moving forward. While production scaling traditionally required manual infrastructure setup and provisioning sandboxes from scratch, there's now a faster path. Managed Agents in the Gemini API are officially live. Get maximum agentic power with zero infrastructure overhead. One simple API call delivers a managed, remote sandbox for your agent so you can focus entirely on behavior. 📁 Fully customizable with your instructions, tools, and data via and 🌐 Test, iterate, and scale long-horizon tasks natively in the cloud. The hardest part of building agents is now the part you don't have to build. 👇 Get started now:

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Google for Developers

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The Hermes Agent Accelerated Business Hackathon presented by NVIDIA AI × Stripe × Nous Research starts now, for builders making agents that can earn, spend, and run real operations at any scale. Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses. We want to see what kind of business tooling you can build on top of this foundation, whether it’s a fully automated company or a framework to accelerate enterprise functions. Prizes: 1st — $10,000 cash + NVIDIA DGX Spark + $5,000 Stripe Credits 2nd — $5,000 cash + NVIDIA DGX Spark + $3,000 Stripe Credits 3rd — $2,500 cash + NVIDIA DGX Spark + $1,000 Stripe Credits To enter: 1) Tweet a 1-3 minute demo video tagging Nous Research with a short writeup 2) Drop the link in the submissions channel: 3) Fill out the submission form: Judged by Nous Research, NVIDIA, and Stripe on usefulness, viability, and presentation. Submissions due EOD Tuesday, June 30.

The Hermes Agent Accelerated Business Hackathon presented by NVIDIA AI × Stripe × Nous Research starts now, for builders making agents that can earn, spend, and run real operations at any scale. Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses. We want to see what kind of business tooling you can build on top of this foundation, whether it’s a fully automated company or a framework to accelerate enterprise functions. Prizes: 1st — $10,000 cash + NVIDIA DGX Spark + $5,000 Stripe Credits 2nd — $5,000 cash + NVIDIA DGX Spark + $3,000 Stripe Credits 3rd — $2,500 cash + NVIDIA DGX Spark + $1,000 Stripe Credits To enter: 1) Tweet a 1-3 minute demo video tagging Nous Research with a short writeup 2) Drop the link in the submissions channel: 3) Fill out the submission form: Judged by Nous Research, NVIDIA, and Stripe on usefulness, viability, and presentation. Submissions due EOD Tuesday, June 30.

Nous Research

1,889,871 views • 2 months ago

Four AI agents just replaced my $250,000 marketing team. I'm not talking about basic chatbots. I'm talking about AI systems that: → Write custom newsletters like Morning Brew → Generate viral social content (3.9M views on one post) → Steal competitor's best-performing ads and rebuild them → Create SEO content that ranks on page 1 of Google All running 24/7 without sick days, vacation requests, or performance reviews. The problem? Most businesses are still hiring expensive marketing teams when AI can now handle 90% of the workload for less than the cost of one employee. I've been testing this for 6 months. The results are wild: ✅ Millions of impressions generated monthly ✅ Tens of thousands in revenue on autopilot ✅ Content creation at enterprise scale ✅ Zero manual research or writing These four agents handle content research, creation, paid advertising creative, and SEO content - work that typically requires a 5-7 person marketing team. The businesses adopting AI marketing agents like these will have an insurmountable advantage while everyone else is still hiring expensive teams and dealing with human limitations. Want the exact n8n templates for all four agents? 1. Like & RT this post 2. Follow me for more AI automation breakdowns 3. Comment "AGENTS" below I'll send you the complete system for free, plus access to my YouTube tutorials showing the step-by-step builds.

Four AI agents just replaced my $250,000 marketing team. I'm not talking about basic chatbots. I'm talking about AI systems that: → Write custom newsletters like Morning Brew → Generate viral social content (3.9M views on one post) → Steal competitor's best-performing ads and rebuild them → Create SEO content that ranks on page 1 of Google All running 24/7 without sick days, vacation requests, or performance reviews. The problem? Most businesses are still hiring expensive marketing teams when AI can now handle 90% of the workload for less than the cost of one employee. I've been testing this for 6 months. The results are wild: ✅ Millions of impressions generated monthly ✅ Tens of thousands in revenue on autopilot ✅ Content creation at enterprise scale ✅ Zero manual research or writing These four agents handle content research, creation, paid advertising creative, and SEO content - work that typically requires a 5-7 person marketing team. The businesses adopting AI marketing agents like these will have an insurmountable advantage while everyone else is still hiring expensive teams and dealing with human limitations. Want the exact n8n templates for all four agents? 1. Like & RT this post 2. Follow me for more AI automation breakdowns 3. Comment "AGENTS" below I'll send you the complete system for free, plus access to my YouTube tutorials showing the step-by-step builds.

David Roberts

109,517 views • 11 months ago

HERMES AGENT NOW RUNS A FULL BUSINESS FOR $8/MONTH. CONTENT. CODE. INBOX. ALL AGENTS. EVERYTHING WHILE YOU SLEEP. one user built this in one session. zero terminal commands. browser only. the team: → content agent: finds video topics, writes first drafts, helps with animations → code builder: writes website and SaaS code → ops agent: organizes and answers email total setup cost: $1. monthly runtime: $8 VPS + cheap model API. the trick is matching model to task. frontier models (Opus 4.8, GPT-5.5) for complex /goals only. $5/million tokens. mid-tier (Claude Sonnet, Haiku, Kimiko 2.6) for daily content and research work. budget (DeepSeek V4 Flash, MiniMax 2.7, Gemma 4, Qwen 3) for cron jobs and routine. run the initial setup on Opus. switch to DeepSeek for everything after. your bill drops 90% with zero quality loss on routine work. the agent team picks up tasks from kanban. each completed task creates a skill. week 3 the same workflows run faster than week 1. full breakdown on Hermes Os in the article 👇

HERMES AGENT NOW RUNS A FULL BUSINESS FOR $8/MONTH. CONTENT. CODE. INBOX. ALL AGENTS. EVERYTHING WHILE YOU SLEEP. one user built this in one session. zero terminal commands. browser only. the team: → content agent: finds video topics, writes first drafts, helps with animations → code builder: writes website and SaaS code → ops agent: organizes and answers email total setup cost: $1. monthly runtime: $8 VPS + cheap model API. the trick is matching model to task. frontier models (Opus 4.8, GPT-5.5) for complex /goals only. $5/million tokens. mid-tier (Claude Sonnet, Haiku, Kimiko 2.6) for daily content and research work. budget (DeepSeek V4 Flash, MiniMax 2.7, Gemma 4, Qwen 3) for cron jobs and routine. run the initial setup on Opus. switch to DeepSeek for everything after. your bill drops 90% with zero quality loss on routine work. the agent team picks up tasks from kanban. each completed task creates a skill. week 3 the same workflows run faster than week 1. full breakdown on Hermes Os in the article 👇

YanXbt

30,910 views • 2 months ago

growing your Twitch stream means posting short-form video on TikTok/Shorts/Reels. love it or hate it, that's the reality now. "at least one video a day" you hear everywhere. you probably already know this. you probably feel guilty for not posting enough. THAT ENDS NOW Shortify was just released into Early Access, and it changes the dynamic entirely. you already create mountains of content every time you go live. you just need help getting it out. the Highlight Hunter from FrostyTools already does incredible work finding those great moments for you at the press of a button. now, you can Shortify any of those hunted clips into a postable vertical video for short-form content, complete with dead air removal, advanced captions, attention-keeping cuts, and dynamic focus. these are the "daily vitamins" of content. you have to keep up with them every day, but they bring huge benefits when you do. you probably just don't have the time to keep up with it, especially if you're still learning how. it doesn't have to be like that anymore! if you're already editing, this can free up your time and focus to work on more ambitious projects, especially longer-form content. using it is SUPER easy: - sign into your FrostyTools dashboard via your Twitch account - run the Highlight Hunter on one of your VODs (or go to a hunted VOD if you already use it) - hit the 'Shortify' button on the moments you like best for your socials - in a minute or two, have your Shortified video ready to download and post! remember: you already make tons of content, you just need tools to get it out!

growing your Twitch stream means posting short-form video on TikTok/Shorts/Reels. love it or hate it, that's the reality now. "at least one video a day" you hear everywhere. you probably already know this. you probably feel guilty for not posting enough. THAT ENDS NOW Shortify was just released into Early Access, and it changes the dynamic entirely. you already create mountains of content every time you go live. you just need help getting it out. the Highlight Hunter from FrostyTools already does incredible work finding those great moments for you at the press of a button. now, you can Shortify any of those hunted clips into a postable vertical video for short-form content, complete with dead air removal, advanced captions, attention-keeping cuts, and dynamic focus. these are the "daily vitamins" of content. you have to keep up with them every day, but they bring huge benefits when you do. you probably just don't have the time to keep up with it, especially if you're still learning how. it doesn't have to be like that anymore! if you're already editing, this can free up your time and focus to work on more ambitious projects, especially longer-form content. using it is SUPER easy: - sign into your FrostyTools dashboard via your Twitch account - run the Highlight Hunter on one of your VODs (or go to a hunted VOD if you already use it) - hit the 'Shortify' button on the moments you like best for your socials - in a minute or two, have your Shortified video ready to download and post! remember: you already make tons of content, you just need tools to get it out!

Ken aka Frosty

90,540 views • 6 months ago

If you use Cursor for coding, Claude Code for debugging, and local agents for automation, you almost certainly have a context problem. Every tool acts like an isolated employee. One assistant forgets what the other just learned. The biggest bottleneck in multi-agent workflows right now isn’t reasoning. It’s collective amnesia, combined with zero communication between agents. Memmy just launched a smart fix for this: a local, cross-agent memory layer. Instead of re-pasting your context everywhere, Memmy gives your stack a shared memory hub: → accumulate knowledge once, then use it across Cursor, Codex, and OpenClaw → automatically scan and import your existing agent history, so you don’t have to start from zero → keep your memory local, while model usage depends on your chosen provider or BYOK setup And it isn’t just a memory plugin. It’s a complete personal AI runtime with both MCP and a CLI. Memmy officially launched on Product Hunt, and the team is giving early users experiencing context fragmentation a free trial with 2M GPT tokens. Check it out and support the team with an upvote: → Best part? It’s also open-source for devs who want to build their own agents 🔥 Repo in 🧵↓

If you use Cursor for coding, Claude Code for debugging, and local agents for automation, you almost certainly have a context problem. Every tool acts like an isolated employee. One assistant forgets what the other just learned. The biggest bottleneck in multi-agent workflows right now isn’t reasoning. It’s collective amnesia, combined with zero communication between agents. Memmy just launched a smart fix for this: a local, cross-agent memory layer. Instead of re-pasting your context everywhere, Memmy gives your stack a shared memory hub: → accumulate knowledge once, then use it across Cursor, Codex, and OpenClaw → automatically scan and import your existing agent history, so you don’t have to start from zero → keep your memory local, while model usage depends on your chosen provider or BYOK setup And it isn’t just a memory plugin. It’s a complete personal AI runtime with both MCP and a CLI. Memmy officially launched on Product Hunt, and the team is giving early users experiencing context fragmentation a free trial with 2M GPT tokens. Check it out and support the team with an upvote: → Best part? It’s also open-source for devs who want to build their own agents 🔥 Repo in 🧵↓

Charly Wargnier

203,456 views • 29 days ago

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

Andrew Ng

127,724 views • 1 year ago

Grok Bot just killed every overhyped AI setup on your timeline Stop building 40 single-purpose agents that burn your time. Here is the exact system architecture to run a multi-million dollar operation using a managed Grok Bot hosted on a cloud VPS (powered by Cursor and SpaceX infrastructure): The Chief of Staff Architecture: Deploy one central "Chief of Staff" agent authenticated to your email and drive. Route execution down to specialized sub-agents (Dev, Support, YouTube) only when needed. Zero-Code Skill Training: Click record, complete a task on your screen, like triaging emails or reviewing analytics - and GrokBot auto-generates a permanent execution skill from the recording. Unrestricted Cloud Execution: The agent runs 24/7 inside its own Linux container for $200/month, executing tasks asynchronously using MCP servers and Composio to query live data from ChartMogul, Help Scout, and Sentry. Anti-Lock-In Memory Dump: Avoid getting trapped on a single platform. Force your Grok Bot to write daily logs and append context summaries directly to external Google Drive or Notion docs. One single Grok Bot harness with structured sub-agents crushes an army of disconnected, unorganized bots every single time.

Grok Bot just killed every overhyped AI setup on your timeline Stop building 40 single-purpose agents that burn your time. Here is the exact system architecture to run a multi-million dollar operation using a managed Grok Bot hosted on a cloud VPS (powered by Cursor and SpaceX infrastructure): The Chief of Staff Architecture: Deploy one central "Chief of Staff" agent authenticated to your email and drive. Route execution down to specialized sub-agents (Dev, Support, YouTube) only when needed. Zero-Code Skill Training: Click record, complete a task on your screen, like triaging emails or reviewing analytics - and GrokBot auto-generates a permanent execution skill from the recording. Unrestricted Cloud Execution: The agent runs 24/7 inside its own Linux container for $200/month, executing tasks asynchronously using MCP servers and Composio to query live data from ChartMogul, Help Scout, and Sentry. Anti-Lock-In Memory Dump: Avoid getting trapped on a single platform. Force your Grok Bot to write daily logs and append context summaries directly to external Google Drive or Notion docs. One single Grok Bot harness with structured sub-agents crushes an army of disconnected, unorganized bots every single time.

Shadow Nick

16,706 views • 8 days ago

A CHINESE LAB VISUALIZED 2,000 NEURONS AND 1,191,000 SYNAPSES IN 3D. HERMES AGENT HIT 140,000 STARS RUNNING THE SAME NETWORK LOCALLY FOR $0 hermes is the first agent that writes its own skills from experience. complete a task once and it saves the procedure as a markdown file for next time agents with 20+ self-created skills complete similar tasks 40% faster than fresh instances. less time and less tokens to get the same result qwen 3.6 35b outperforms last year's 120b models and runs on 20gb of memory. the intelligence that needed a data center now fits on your desk setup takes 30 minutes. install lm studio, pull qwen 3.6, install hermes, point it at localhost. zero api fees, zero data leaving your machine most people pay for cloud agents that forget everything between sessions. the ones running hermes locally in 2026 will look very far ahead in 2028 bookmark this and read the article below

A CHINESE LAB VISUALIZED 2,000 NEURONS AND 1,191,000 SYNAPSES IN 3D. HERMES AGENT HIT 140,000 STARS RUNNING THE SAME NETWORK LOCALLY FOR $0 hermes is the first agent that writes its own skills from experience. complete a task once and it saves the procedure as a markdown file for next time agents with 20+ self-created skills complete similar tasks 40% faster than fresh instances. less time and less tokens to get the same result qwen 3.6 35b outperforms last year's 120b models and runs on 20gb of memory. the intelligence that needed a data center now fits on your desk setup takes 30 minutes. install lm studio, pull qwen 3.6, install hermes, point it at localhost. zero api fees, zero data leaving your machine most people pay for cloud agents that forget everything between sessions. the ones running hermes locally in 2026 will look very far ahead in 2028 bookmark this and read the article below

starmex

13,420 views • 2 months ago

The Teamily AI website ( has undergone a complete revamp, introducing a bold vision: the world's first social network built on human-AI symbiosis. Our goal is to transform Teamily AI into a "Super AI App" that connects billions of AI Agents with people. Fundamentally, we are building an Agentic OS powered by human networks. We have redefined the way humans and AI collaborate: 1. Personal AI · Your 24/7 AI Companion Your exclusive AI avatar continuously learns your communication style and expertise. It manages your memories across various groups, anticipates your needs, and executes tasks on your behalf. 2. Create, Train, and Grow Your Own AI Agents—Simply Through Conversation Build your own specialized AI Agents using natural conversation—no coding required, zero barriers to entry, and no complex configuration. Dynamically access a library of over 10,000 skills from the OpenClaw and Claude Code ecosystems. You can also link your personal software accounts—such as Gmail, LinkedIn, and Notion—enabling these Agents to participate as full-fledged members of your human teams. 3. Integrate Your AI Team into Your Human Team Initiate AI-native group chats where humans and Agents collaborate seamlessly. Multiple Agents can execute tasks concurrently—conducting research, performing analysis, and building deliverables—transforming everyday conversations into immediate, multi-threaded action. 4. Explore Agents, Groups, Playbooks, and More We are cultivating a continuously evolving AI community ecosystem. Discover a wealth of useful and entertaining prompts, along with impressive AI-generated deliverables (webpages, presentations, reports, knowledge bases, mini-games, apps, and more), bringing together a diverse array of Agents and workflows. Engage socially with this content, find the perfect AI for your specific task, and integrate it instantly into your personal or group conversations with just a single click. 5. Universal Memory · Context-Aware, Long-Term Memory Powered by Your Social Graph A persistent, global memory layer that connects your entire social graph. The AI retains context across all your groups, Agents, and timeframes, transforming every interaction you accumulate into an ever-growing digital asset. 6. Access Your Personal AI Anytime, Anywhere We are committed to providing continuous support across all major platforms: iOS, Android, Mac, Windows, Web, CarPlay, Android Auto, Apple Watch, and more—delivering a truly seamless experience across every device. Your AI team accompanies you—in your pocket, on your wrist, in your car, and even extending into the physical world. The same set of agents, the same shared memory—with zero friction in switching contexts. Give it a try and let us know your feedback. Cheers.

Teamily AI

12,995 views • 4 months ago