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OpenClaw just went fully local. No cloud. No API bills. Zero cost AI agents running on your own computer. 🤯 This changes everything about automation in 2026. Pair OpenClaw with Ollama and you can run models like Qwen, Minimax, and Kimi directly on your machine. That means daily research... show more

Julian Goldie SEO

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18,996 views • 4 months ago •via X (Twitter)

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OPENCLAW + OLLAMA CAN NOW REPLACE YOUR AI API BILL WITH LOCAL AGENTS RUNNING ON YOUR OWN COMPUTER. No cloud servers, no sneaky API costs, and your private data stays on your machine.

OPENCLAW + OLLAMA CAN NOW REPLACE YOUR AI API BILL WITH LOCAL AGENTS RUNNING ON YOUR OWN COMPUTER. No cloud servers, no sneaky API costs, and your private data stays on your machine.

0xMarioNawfal

180,518 views • 4 months ago

Claude Code is now completely free forever 🤯 Just connect it to Ollama and run a local model like Google’s new Gemma 4. That means Claude Code agents can run directly on your computer with zero API bills and zero subscriptions. Google may have just ended AI subscription fees for good. 🚀

Claude Code is now completely free forever 🤯 Just connect it to Ollama and run a local model like Google’s new Gemma 4. That means Claude Code agents can run directly on your computer with zero API bills and zero subscriptions. Google may have just ended AI subscription fees for good. 🚀

Julian Goldie SEO

10,098 views • 3 months ago

Claude Code is now completely free forever 🤯 Google just dropped Gemma 4 on Ollama, which means you can run Claude Code locally with zero API bills and zero subscriptions. Just install Gemma 4, connect it to Claude Code, and suddenly you have free AI agents running directly on your computer. Google may have just killed AI subscription costs. 🚀

Claude Code is now completely free forever 🤯 Google just dropped Gemma 4 on Ollama, which means you can run Claude Code locally with zero API bills and zero subscriptions. Just install Gemma 4, connect it to Claude Code, and suddenly you have free AI agents running directly on your computer. Google may have just killed AI subscription costs. 🚀

Julian Goldie SEO

607,191 views • 3 months ago

OpenClaw + Qwen 3.5 just unlocked “Claude-level” local agents. No API bills, no cloud, no data leaving your machine. Here’s the setup flow. → Install the Ollama pre-release (needed for the newest Qwen build). → Pull Qwen 3.5 locally (it’s a big download). → Launch OpenClaw with the Qwen model. → Run one real workflow: publish, message, schedule. If you can run it locally, you own the whole stack. Save this video, you’ll set up a free private agent. Want the SOP? DM me. 💬

OpenClaw + Qwen 3.5 just unlocked “Claude-level” local agents. No API bills, no cloud, no data leaving your machine. Here’s the setup flow. → Install the Ollama pre-release (needed for the newest Qwen build). → Pull Qwen 3.5 locally (it’s a big download). → Launch OpenClaw with the Qwen model. → Run one real workflow: publish, message, schedule. If you can run it locally, you own the whole stack. Save this video, you’ll set up a free private agent. Want the SOP? DM me. 💬

Julian Goldie SEO

163,486 views • 5 months ago

OpenClaw expanded the ceiling for what autonomous AI agents can handle. The catch? Getting it running on your own machine can feel like a full time job. That is exactly why was built. No more wrestling with installs. Spin up a managed OpenClaw setup in the cloud and get straight to execution.

OpenClaw expanded the ceiling for what autonomous AI agents can handle. The catch? Getting it running on your own machine can feel like a full time job. That is exactly why was built. No more wrestling with installs. Spin up a managed OpenClaw setup in the cloud and get straight to execution.

MAPUNDA

64,576 views • 5 months ago

Stop paying for Claude Code. You can run it for FREE. No API tokens. No monthly plan. No cloud costs. Here’s the simple setup: 1. Download Ollama (free). 2. Install a local model like GLM 4.7 Flash. 3. Launch Claude Code using that local model. 4. Done. You’re now running Claude Code fully powered by a local model. Same interface. No API bill. You can even run OpenClaw the same way. Local AI agents. Free. 24/7. Most people are overpaying because they don’t know this exists.

Stop paying for Claude Code. You can run it for FREE. No API tokens. No monthly plan. No cloud costs. Here’s the simple setup: 1. Download Ollama (free). 2. Install a local model like GLM 4.7 Flash. 3. Launch Claude Code using that local model. 4. Done. You’re now running Claude Code fully powered by a local model. Same interface. No API bill. You can even run OpenClaw the same way. Local AI agents. Free. 24/7. Most people are overpaying because they don’t know this exists.

Julian Goldie SEO

103,804 views • 5 months ago

There's a free 120 billion parameter AI you can run on your own computer. Zero internet. Zero API costs. Zero monthly fees. It's called Nvidia Nemotron 3 Super. And it just changed what solopreneurs can do with AI agents. Here's the setup: → Download Ollama. Copy one command into your terminal. → Connect it to OpenClaw in under 10 minutes. → Your AI agent now runs 24/7 on WhatsApp, Discord, or Telegram. → It answers customers, runs tasks, and manages workflows while you sleep. → 256,000 token context window. It reads entire documents without forgetting. No subscriptions. No cloud. No one else touching your data. A full AI employee stack for $0. Save this. Set it up this weekend.

There's a free 120 billion parameter AI you can run on your own computer. Zero internet. Zero API costs. Zero monthly fees. It's called Nvidia Nemotron 3 Super. And it just changed what solopreneurs can do with AI agents. Here's the setup: → Download Ollama. Copy one command into your terminal. → Connect it to OpenClaw in under 10 minutes. → Your AI agent now runs 24/7 on WhatsApp, Discord, or Telegram. → It answers customers, runs tasks, and manages workflows while you sleep. → 256,000 token context window. It reads entire documents without forgetting. No subscriptions. No cloud. No one else touching your data. A full AI employee stack for $0. Save this. Set it up this weekend.

Julian Goldie SEO

29,325 views • 4 months ago

Running AI locally changes everything however, most people don't realise what they're missing 100% private — your data never leaves your machine Completely free — no subscriptions, no API costs No usage limits — run it as much as you want In this 17 min video, I break down exactly how to run AI models on your own hardware

Running AI locally changes everything however, most people don't realise what they're missing 100% private — your data never leaves your machine Completely free — no subscriptions, no API costs No usage limits — run it as much as you want In this 17 min video, I break down exactly how to run AI models on your own hardware

David Ondrej

39,967 views • 7 months ago

Running OpenClaw yourself is a pain. You need your own server, your own API keys, handle the deployment, and if something breaks you figure it out alone. Most people just don't bother. MiniMax launched MaxClaw to solve exactly that. It's OpenClaw, fully hosted in the cloud. No server. No API setup. Nothing to configure. I deployed mine in under 2 minutes. Told it to connect to Telegram, it walked me through the whole thing and I built a full website directly from the chat. Watch 👇

Running OpenClaw yourself is a pain. You need your own server, your own API keys, handle the deployment, and if something breaks you figure it out alone. Most people just don't bother. MiniMax launched MaxClaw to solve exactly that. It's OpenClaw, fully hosted in the cloud. No server. No API setup. Nothing to configure. I deployed mine in under 2 minutes. Told it to connect to Telegram, it walked me through the whole thing and I built a full website directly from the chat. Watch 👇

AshutoshShrivastava

17,696 views • 5 months ago

$THIS FRENCH GUY RUNS OPENCLAW AND HERMES AI AGENTS ON A HOMELAB THAT REPLACED GOOGLE DRIVE AND ICLOUD ENTIRELY ON JUST 10 WATTS The project: host his own local AI agents, OpenClaw and Hermes, ditch cloud storage subscriptions entirely by running his own NAS, and use the whole build to prep for his K8s certification – all running on 4 Raspberry Pis. Today's upgrade: a PoE module. One Ethernet cable now does two jobs – powers the Raspberry Pi AND gives it network access at the same time. No separate power adapters, no cable clutter, no juggling connections during maintenance. Total power draw for all 4 Raspberry Pis combined: max 10 watts. He's not renting cloud storage anymore. He's not paying monthly subscriptions for space he already owns the hardware for. His files, his AI agents, his data – all sitting on hardware in his own home, on a fraction of the power a lightbulb uses. Next up: blocking ads network-wide across his entire home, using one of the automation services running on the same setup. This is what "own your data" actually looks like when someone builds it instead of just talking about it. Bookmark this post. Full build in the video below.$

THIS FRENCH GUY RUNS OPENCLAW AND HERMES AI AGENTS ON A HOMELAB THAT REPLACED GOOGLE DRIVE AND ICLOUD ENTIRELY ON JUST 10 WATTS The project: host his own local AI agents, OpenClaw and Hermes, ditch cloud storage subscriptions entirely by running his own NAS, and use the whole build to prep for his K8s certification – all running on 4 Raspberry Pis. Today's upgrade: a PoE module. One Ethernet cable now does two jobs – powers the Raspberry Pi AND gives it network access at the same time. No separate power adapters, no cable clutter, no juggling connections during maintenance. Total power draw for all 4 Raspberry Pis combined: max 10 watts. He's not renting cloud storage anymore. He's not paying monthly subscriptions for space he already owns the hardware for. His files, his AI agents, his data – all sitting on hardware in his own home, on a fraction of the power a lightbulb uses. Next up: blocking ads network-wide across his entire home, using one of the automation services running on the same setup. This is what "own your data" actually looks like when someone builds it instead of just talking about it. Bookmark this post. Full build in the video below.

SCOTTY BEAM

18,175 views • 19 days ago

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 OpenClaw🦞 running Qwen through ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: What should we deploy next?

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 OpenClaw🦞 running Qwen through ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: What should we deploy next?

NuNet 🌐

87,581 views • 4 months ago

OpenClaw just got a desktop app. And nobody's talking about it. It's called Claw X. It's free. And it changes everything about how you use AI agents. Here's the problem it solves: Running OpenClaw required command line. That's like owning a Ferrari but the only way to drive it is reading a manual written in Japanese. Claw X fixes that with a clean desktop UI. One-click install. No terminal. No commands. No tech skills. Here's what you get inside: A dashboard showing your agent's activity, skills, and scheduled tasks all in one place. One-click connections to Telegram, Discord, and WhatsApp. Visual settings for switching AI providers — Anthropic, OpenAI, Google, or even free local models via Ollama. Scheduled task management without touching a single config file. And the setup takes 2 minutes. Just paste the GitHub link into OpenClaw and say "install this." It sets itself up. You've been avoiding OpenClaw because the setup looked complicated. That excuse is

OpenClaw just got a desktop app. And nobody's talking about it. It's called Claw X. It's free. And it changes everything about how you use AI agents. Here's the problem it solves: Running OpenClaw required command line. That's like owning a Ferrari but the only way to drive it is reading a manual written in Japanese. Claw X fixes that with a clean desktop UI. One-click install. No terminal. No commands. No tech skills. Here's what you get inside: A dashboard showing your agent's activity, skills, and scheduled tasks all in one place. One-click connections to Telegram, Discord, and WhatsApp. Visual settings for switching AI providers — Anthropic, OpenAI, Google, or even free local models via Ollama. Scheduled task management without touching a single config file. And the setup takes 2 minutes. Just paste the GitHub link into OpenClaw and say "install this." It sets itself up. You've been avoiding OpenClaw because the setup looked complicated. That excuse is

Julian Goldie SEO

94,479 views • 4 months ago

OpenClaw just got a lot cheaper to run. Alibaba Cloud dropped a Coding Plan that gives you 4 frontier models under one API key. Plug it straight into OpenClaw and you're done. Qwen 3.5-Plus. Kimi K2.5. MiniMax M2.5. GLM-5. 18,000 requests a month for just $10. In single subscriptions, you can swap the models and keep building. The interesting part isn't even the price. It's that they built this for developers already inside tools like OpenClaw, Claude Code, and Cline. The top engineers will quietly plug this in this week and say nothing. The rest will find out in 6 months when the cost gap is impossible to ignore. Setup takes 30 seconds. 👇

OpenClaw just got a lot cheaper to run. Alibaba Cloud dropped a Coding Plan that gives you 4 frontier models under one API key. Plug it straight into OpenClaw and you're done. Qwen 3.5-Plus. Kimi K2.5. MiniMax M2.5. GLM-5. 18,000 requests a month for just $10. In single subscriptions, you can swap the models and keep building. The interesting part isn't even the price. It's that they built this for developers already inside tools like OpenClaw, Claude Code, and Cline. The top engineers will quietly plug this in this week and say nothing. The rest will find out in 6 months when the cost gap is impossible to ignore. Setup takes 30 seconds. 👇

Shruti

185,745 views • 4 months ago

I thought I needed a powerful GPU to run serious AI locally. I was completely wrong. Late 2025, Ollama quietly launched something that changed everything. They built a cloud inference layer running on NVIDIA's Blackwell architecture, the most powerful GPU hardware available today. No GPU on your desk required. No expensive API subscription. No complex setup. Just one command and you're running Kimi K2.5, a 1 trillion parameter open-source model, completely free. I connected it to OpenClaw, which links my phone's messaging apps to the AI agent running at home. I sent a message from WhatsApp. My machine picked it up, ran the task, and sent me back the result. It felt like magic. It's just good engineering. Save this post, you'll want this when you're building your first workflow. Want the SOP? DM me.

I thought I needed a powerful GPU to run serious AI locally. I was completely wrong. Late 2025, Ollama quietly launched something that changed everything. They built a cloud inference layer running on NVIDIA's Blackwell architecture, the most powerful GPU hardware available today. No GPU on your desk required. No expensive API subscription. No complex setup. Just one command and you're running Kimi K2.5, a 1 trillion parameter open-source model, completely free. I connected it to OpenClaw, which links my phone's messaging apps to the AI agent running at home. I sent a message from WhatsApp. My machine picked it up, ran the task, and sent me back the result. It felt like magic. It's just good engineering. Save this post, you'll want this when you're building your first workflow. Want the SOP? DM me.

Julian Goldie SEO

11,967 views • 4 months ago

OpenClaw is the best AI agent I've ever used. I run it every single day. But if you asked me to run it on my laptop full-time, I'd say you're making a mistake. OpenClaw is brilliant for accessing your files, reading your apps, and running local AI tasks. But running it on your own machine creates real problems nobody talks about: • Who's keeping it secure when it's exposed to the internet? • What happens when your laptop sleeps or shuts down? • Where are the access controls? • Who's blocking bad bots from hitting your instance? • What if you don't want to spend $800 on a Mac Mini just to run it? That's the main issue with local AI agents: your laptop was never meant to be a server. As far as I know, DigitalOcean is the only platform making OpenClaw cloud deployment this simple. And the security setup is actually impressive: • secret token authentication • bad bot blocking • limited user permissions • Docker containerization All of this configured automatically when you spin up a Droplet. I really don't see any other way forward for people who want OpenClaw running 24/7 without the hardware headaches. By the way, DigitalOcean runs everything in full isolation. Only you can message your OpenClaw instance. Setup takes about 5 minutes. No Mac Mini required. Here's the link to get started: DigitalOcean collaborated with me on this post.

OpenClaw is the best AI agent I've ever used. I run it every single day. But if you asked me to run it on my laptop full-time, I'd say you're making a mistake. OpenClaw is brilliant for accessing your files, reading your apps, and running local AI tasks. But running it on your own machine creates real problems nobody talks about: • Who's keeping it secure when it's exposed to the internet? • What happens when your laptop sleeps or shuts down? • Where are the access controls? • Who's blocking bad bots from hitting your instance? • What if you don't want to spend $800 on a Mac Mini just to run it? That's the main issue with local AI agents: your laptop was never meant to be a server. As far as I know, DigitalOcean is the only platform making OpenClaw cloud deployment this simple. And the security setup is actually impressive: • secret token authentication • bad bot blocking • limited user permissions • Docker containerization All of this configured automatically when you spin up a Droplet. I really don't see any other way forward for people who want OpenClaw running 24/7 without the hardware headaches. By the way, DigitalOcean runs everything in full isolation. Only you can message your OpenClaw instance. Setup takes about 5 minutes. No Mac Mini required. Here's the link to get started: DigitalOcean collaborated with me on this post.

Hasan Toor

213,678 views • 3 months ago

OpenClaw Now Lives on Solana — Free AI Agents in Your Pocket We've integrated .molt domains with OpenClaw, bringing personal AI agents to the Solana ecosystem. Each .molt domain is a Metaplex Core NFT that unlocks your own AI agent instance. What you get: Wallet-based access — No accounts, no passwords. Connect your Solana wallet, prove NFT ownership, instant access Per-domain agents — Each domain NFT gets its own isolated AI agent with persistent memory Configure your channels — Set up Telegram, Discord, or Slack bots directly from the UI. Enter your bot token, click save, restart your agent Persistent storage — Your agent's memory and conversations persist in R2 storage, tied to your NFT The best part? It's free. You don't need a $600 MacBook. You don't need a $15/month VPS. You don't need to manage servers, Docker containers, or API keys. Just mint a .molt domain, connect your wallet, and you have OpenClaw in your pocket — accessible from any device, anywhere. Your domain. Your agent. Your data. All on-chain, all yours. Live on devnet:

OpenClaw Now Lives on Solana — Free AI Agents in Your Pocket We've integrated .molt domains with OpenClaw, bringing personal AI agents to the Solana ecosystem. Each .molt domain is a Metaplex Core NFT that unlocks your own AI agent instance. What you get: Wallet-based access — No accounts, no passwords. Connect your Solana wallet, prove NFT ownership, instant access Per-domain agents — Each domain NFT gets its own isolated AI agent with persistent memory Configure your channels — Set up Telegram, Discord, or Slack bots directly from the UI. Enter your bot token, click save, restart your agent Persistent storage — Your agent's memory and conversations persist in R2 storage, tied to your NFT The best part? It's free. You don't need a $600 MacBook. You don't need a $15/month VPS. You don't need to manage servers, Docker containers, or API keys. Just mint a .molt domain, connect your wallet, and you have OpenClaw in your pocket — accessible from any device, anywhere. Your domain. Your agent. Your data. All on-chain, all yours. Live on devnet:

Molt.id

314,996 views • 5 months ago

𝗢𝗹𝗹𝗮𝗺𝗮 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗷𝘂𝘀𝘁 𝗺𝗮𝗱𝗲 𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴 𝗳𝗿𝗲𝗲. 𝗔𝗻𝗱 𝗶𝘁 𝗿𝘂𝗻𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗹𝗼𝗰𝗮𝗹. No subscriptions. No limits. No data leaving your machine. Claude Code used to cost $3-$15 per million tokens. Now you can run it with free open-source models on your computer. January 16th, 2026: Ollama version 0.14.0 became compatible with Anthropic's messages API. That means Claude Code now works with any Ollama model. Zero ongoing costs. Your code never leaves your computer. Here's the setup: Download Ollama. Run `ollama pull qwen3-coder`. Install Claude Code. Set two environment variables to connect them. Then run: `claude --model qwen3-coder` Give it tasks in plain English: "Write a function to process images." "Debug why my API calls are failing." It reads your files. Makes changes. Tests the code. Shows you what it did. Top models: Qwen 3-Coder for everyday tasks. GPT-OSS 20B for complex projects. This is completely legal. Explicitly supported by both tools.

𝗢𝗹𝗹𝗮𝗺𝗮 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗷𝘂𝘀𝘁 𝗺𝗮𝗱𝗲 𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴 𝗳𝗿𝗲𝗲. 𝗔𝗻𝗱 𝗶𝘁 𝗿𝘂𝗻𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗹𝗼𝗰𝗮𝗹. No subscriptions. No limits. No data leaving your machine. Claude Code used to cost $3-$15 per million tokens. Now you can run it with free open-source models on your computer. January 16th, 2026: Ollama version 0.14.0 became compatible with Anthropic's messages API. That means Claude Code now works with any Ollama model. Zero ongoing costs. Your code never leaves your computer. Here's the setup: Download Ollama. Run `ollama pull qwen3-coder`. Install Claude Code. Set two environment variables to connect them. Then run: `claude --model qwen3-coder` Give it tasks in plain English: "Write a function to process images." "Debug why my API calls are failing." It reads your files. Makes changes. Tests the code. Shows you what it did. Top models: Qwen 3-Coder for everyday tasks. GPT-OSS 20B for complex projects. This is completely legal. Explicitly supported by both tools.

Julian Goldie SEO

168,609 views • 6 months ago

Perplexity declared war on the biggest open source AI movement of 2026. This changes how millions of people will interact with AI agents forever. Here is what happened and why almost nobody is talking about the real implications. OpenClaw exploded in January and it became one of the fastest growing open source projects in GitHub history. The premise was radical. An AI agent that runs on your own machine, connects to your messaging apps and actually does things while you sleep. Developers went wild and over 700 community built skills appeared on ClawHub. People were negotiating car deals, filing legal rebuttals, and building entire social networks run by AI agents. Then Perplexity showed up with something different. A cloud powered system that coordinates 20 frontier AI models at once. They call it Perplexity Computer and this week they went even further. They announced Personal Computer. An always on AI agent that lives on a Mac mini in your home, connected to your local files and Perplexity's secure servers around the clock. It never sleeps or stops working and you control it from any device, anywhere. But the real story is what CEO Aravind Srinivas said during the Q&A session at their inaugural developer conference in San Francisco. He called Perplexity Computer a product "meant for serious people." He talked about Uber drivers asking him when they could stop driving and let AI make them passive income. That, he said, is the actual vision and then he went directly after OpenClaw. He said even a former Perplexity engineer struggled to get OpenClaw running on their own machine. He warned about unvetted malware being imported through OpenClaw's community skill hub, with no control over what people are contributing. He called the hobbyist approach of managing 700 API keys and sub agent configuration files a dead end for mainstream adoption. And four years of building world class orchestration gives Perplexity something an open source project cannot match. Enterprise grade security for solopreneurs and businesses alike. On one side, OpenClaw represents radical openness. Your data stays local, you choose your own models, you own everything and the community builds the tools. On the other hand, Perplexity is betting that most people don’t want to be system administrators. They want results, security guarantees, and something that just works out of the box. The Personal Computer runs on Perplexity's SOC 2 certified infrastructure. Every sensitive action requires user approval, every action is logged, and there is a kill switch. The enterprise version connects natively to Snowflake, Salesforce, HubSpot, and hundreds of other platforms. Teams can query data warehouses and build financial models without waiting on an analytics team. The real question is not which product is technically better. The real question is whether the future of AI agents looks like Linux or looks like the iPhone. Because the Uber driver Srinivas described is not going to configure sub agent routing tables. That person needs something that works the moment they open it. And if Perplexity captures that market, the open source movement becomes a niche for developers instead of a revolution for everyone. That is the billion dollar bet being made right now.

Perplexity declared war on the biggest open source AI movement of 2026. This changes how millions of people will interact with AI agents forever. Here is what happened and why almost nobody is talking about the real implications. OpenClaw exploded in January and it became one of the fastest growing open source projects in GitHub history. The premise was radical. An AI agent that runs on your own machine, connects to your messaging apps and actually does things while you sleep. Developers went wild and over 700 community built skills appeared on ClawHub. People were negotiating car deals, filing legal rebuttals, and building entire social networks run by AI agents. Then Perplexity showed up with something different. A cloud powered system that coordinates 20 frontier AI models at once. They call it Perplexity Computer and this week they went even further. They announced Personal Computer. An always on AI agent that lives on a Mac mini in your home, connected to your local files and Perplexity's secure servers around the clock. It never sleeps or stops working and you control it from any device, anywhere. But the real story is what CEO Aravind Srinivas said during the Q&A session at their inaugural developer conference in San Francisco. He called Perplexity Computer a product "meant for serious people." He talked about Uber drivers asking him when they could stop driving and let AI make them passive income. That, he said, is the actual vision and then he went directly after OpenClaw. He said even a former Perplexity engineer struggled to get OpenClaw running on their own machine. He warned about unvetted malware being imported through OpenClaw's community skill hub, with no control over what people are contributing. He called the hobbyist approach of managing 700 API keys and sub agent configuration files a dead end for mainstream adoption. And four years of building world class orchestration gives Perplexity something an open source project cannot match. Enterprise grade security for solopreneurs and businesses alike. On one side, OpenClaw represents radical openness. Your data stays local, you choose your own models, you own everything and the community builds the tools. On the other hand, Perplexity is betting that most people don’t want to be system administrators. They want results, security guarantees, and something that just works out of the box. The Personal Computer runs on Perplexity's SOC 2 certified infrastructure. Every sensitive action requires user approval, every action is logged, and there is a kill switch. The enterprise version connects natively to Snowflake, Salesforce, HubSpot, and hundreds of other platforms. Teams can query data warehouses and build financial models without waiting on an analytics team. The real question is not which product is technically better. The real question is whether the future of AI agents looks like Linux or looks like the iPhone. Because the Uber driver Srinivas described is not going to configure sub agent routing tables. That person needs something that works the moment they open it. And if Perplexity captures that market, the open source movement becomes a niche for developers instead of a revolution for everyone. That is the billion dollar bet being made right now.

Milk Road AI

22,256 views • 4 months ago

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Santiago

56,815 views • 1 year 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 • 1 month ago