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Your personal Lobster just got an update! 🧩 Install custom skills right from ClawHub 🦞 Edit your agent’s SOUL .md & other configs 💻 Built-in terminal for geeks 📦 Core upgraded to OpenClaw 2026.2.12 🛡️ 40+ security and bug fixes

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atomicbot.ai

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14,634 views • 6 months ago •via X (Twitter)

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🚀 Introducing NemoVideo Skill — The World's First Pro Video Editing Skill for AI Agents If every lobster has a dream, Nemo’s was to stop mopping and start directing. 🦞🎬 Today, that dream ships. NemoVideo Skill, is the world’s first all-in-one professional video editing skill for your OpenClaw agent. What NemoVideo Skill can do for you: 🎬 Research, script, and storyboard — from a single prompt 🎙️ Generate AI voices, auto-mix audio, and source footage ✅ Self-audit and deliver a full timeline — ready to export Huge thanks and respect to OpenClaw🦞 and Peter Steinberger 🦞 for building the infrastructure that makes this possible. ⭐Want to try it? Just tell your OpenClaw: “Install the nemo-video skill from ClawHub.” That’s it. Your lobster will handle the rest. 🦞 ❤️Love what Nemo’s building? Star & rate on GitHub/ClawHub → → Screenshot your star & DM us — we’ll send you free credits! 🎬 Start creating → #NemoVideo #AgenticAI #AIvideo

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We built an autonomous agent that launches your startup idea for you. Kevin Rose tried it last week. Idea → landing page → positioning → ads → first users. Days, not months. All on autopilot. It's called Otto. Describe what you want to build. Otto handles the rest — and you can jump in anytime to steer. Start from your terminal, OpenClaw🦞 , or Now open to everyone.
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OpenClaw creator Peter Steinberger talks about how China is going all-in for AI agents and OpenClaw. "In China, installing OpenClaw is called raising lobsters. Thousands of people were lining up at the Tencent office in Shenzhen to get their lobster installed. Shenzhen even gives out subsidies for people running businesses on OpenClaw. Now, if you install OpenAIClaw on your work machine (in many other parts of the world), at least with the default settings, you might get fired. And then I met an entrepreneur in China who showed me a spreadsheet. Every employee, every day, one task automated by OpenClaw. If you miss too many days, you're fired. So, fired for using it, fired for not using it." --- From official 'TED' YT channel (link in comment)
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Will Ruben

542,967 views • 2 months ago

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Alex Finn

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Make your CLI 10x more powerful with custom subagents! Mistral Vibe is an open-source coding agent that runs in your terminal. Most terminal agents give you one assistant that does everything. With Vibe, you can build custom subagents for targeted tasks like deploy scripts, PR reviews, and test generation, then invoke them on demand. Here's how it works: Each subagent runs independently and handles its job without cluttering your main workflow. You might have one for PR reviews, another for testing, and another for deployment. The agent also has full access to your codebase. It scans your project structure and Git status automatically, so it understands context across multiple files, not just the one you're editing. Key capabilities: • Web search and fetching - query and fetch content from the web mid-session for documentation, or API references. • Multi-choice clarifications - when your instruction is ambiguous, Vibe prompts with options instead of guessing. You pick the right path before it acts. • Full skills support - slash commands for preconfigured workflows, custom subagents for specialized tasks, and extensibility through the Agent Skills standard. Vibe works in your terminal or connects to VS Code, JetBrains, and Zed through the Agent Client Protocol. Mistral Vibe is available through Le Chat Pro and Team plans. It's 100% open source Link to Mistral Vibe in the comments!
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Make your CLI 10x more powerful with custom subagents! Mistral Vibe is an open-source coding agent that runs in your terminal. Most terminal agents give you one assistant that does everything. With Vibe, you can build custom subagents for targeted tasks like deploy scripts, PR reviews, and test generation, then invoke them on demand. Here's how it works: Each subagent runs independently and handles its job without cluttering your main workflow. You might have one for PR reviews, another for testing, and another for deployment. The agent also has full access to your codebase. It scans your project structure and Git status automatically, so it understands context across multiple files, not just the one you're editing. Key capabilities: • Web search and fetching - query and fetch content from the web mid-session for documentation, or API references. • Multi-choice clarifications - when your instruction is ambiguous, Vibe prompts with options instead of guessing. You pick the right path before it acts. • Full skills support - slash commands for preconfigured workflows, custom subagents for specialized tasks, and extensibility through the Agent Skills standard. Vibe works in your terminal or connects to VS Code, JetBrains, and Zed through the Agent Client Protocol. Mistral Vibe is available through Le Chat Pro and Team plans. It's 100% open source Link to Mistral Vibe in the comments!

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Elgato

14,449 views • 3 months ago

introducing AlphaClaw Apex 🐺 a native Mac app for managing multiple OpenClaw VPS instances from one dashboard. some of you are already setting up OpenClaw for clients as a service. Apex is built for you. deploy to Hetzner VPS in one click. monitor all your instances. manage configs, updates, spend, and health from a single UI. no SSH needed. everything you know from AlphaClaw, now across a fleet: 📅 Google Workspace OAuth & pubsub wizard ⏱️ Cron calendar view and cost-saving insights 🖥️ Remote node setup wizard 🔄 Auto-backup to GitHub 📊 Token usage & cost analytics built in 🧱 Prompt hardening reduces agent drift 🩺 Drift Doctor analyzes your prompts and workspace for drift 💬 Telegram multi-topic workspace setup wizard 📂 Full file browser, editor, and terminal no SSH needed 🐕 Per-instance watchdog and crash recovery 🛠️ Manage env vars from the UI 🔑 Manage model keys & OAuth visually 🪝 Webhook creator & inspector with replay & debug ⬆️ One-click updates, no redeploy needed 📦 Import existing setup from GitHub if you're thinking about offering managed OpenClaw as a service, this is the ops layer you've been missing.
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introducing AlphaClaw Apex 🐺 a native Mac app for managing multiple OpenClaw VPS instances from one dashboard. some of you are already setting up OpenClaw for clients as a service. Apex is built for you. deploy to Hetzner VPS in one click. monitor all your instances. manage configs, updates, spend, and health from a single UI. no SSH needed. everything you know from AlphaClaw, now across a fleet: 📅 Google Workspace OAuth & pubsub wizard ⏱️ Cron calendar view and cost-saving insights 🖥️ Remote node setup wizard 🔄 Auto-backup to GitHub 📊 Token usage & cost analytics built in 🧱 Prompt hardening reduces agent drift 🩺 Drift Doctor analyzes your prompts and workspace for drift 💬 Telegram multi-topic workspace setup wizard 📂 Full file browser, editor, and terminal no SSH needed 🐕 Per-instance watchdog and crash recovery 🛠️ Manage env vars from the UI 🔑 Manage model keys & OAuth visually 🪝 Webhook creator & inspector with replay & debug ⬆️ One-click updates, no redeploy needed 📦 Import existing setup from GitHub if you're thinking about offering managed OpenClaw as a service, this is the ops layer you've been missing.

Chrys Bader

67,550 views • 5 months ago

You're using Google Antigravity wrong. Here's the right way to build apps safely and fast: 1: Always run agents in a sandbox environment 2: Disable automatic destructive commands 3: Require manual approval for terminal commands 4: Review evidence logs before accepting changes 5: Use dummy credentials for testing 6: Never use turbo mode on important projects 7: Give agents clear boundaries in your prompts 8: Build: → full apps from scratch → automated bug fixes → CI/CD pipelines → security scans You just automated weeks of development work in 3 minutes. Save this video, you'll build 10x faster. Want the full guide? DM me. 💬
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You're using Google Antigravity wrong. Here's the right way to build apps safely and fast: 1: Always run agents in a sandbox environment 2: Disable automatic destructive commands 3: Require manual approval for terminal commands 4: Review evidence logs before accepting changes 5: Use dummy credentials for testing 6: Never use turbo mode on important projects 7: Give agents clear boundaries in your prompts 8: Build: → full apps from scratch → automated bug fixes → CI/CD pipelines → security scans You just automated weeks of development work in 3 minutes. Save this video, you'll build 10x faster. Want the full guide? DM me. 💬

Julian Goldie SEO

22,736 views • 9 months ago

Grok Build CLI just dropped. Not for dabbling. This is dev mode. Runs in your terminal and actually gets work done. Activate your personal dev mode. SuperGrok Heavy users only. Try it: * Confirm access - this is SuperGrok Heavy only, not your regular plan * Upgrade if needed - or * Install it - run the one-liner in your terminal * Jump into your project - cd into your repo * Launch Grok - type “grok” and log in once * Start prompting - audits, features, fixes, whatever you need * Use plan mode - review tasks and diffs before anything runs * Spin up sub-agents - let it handle big workloads * Go headless - automate scripts when you don’t want to babysit * Keep iterating - refine, rerun, improve You’re up and running in minutes. No excuses. Tip: Start with a small task in an existing repo to get comfortable with the plan and review workflow. xAI engineers are actively gathering feedback. Share your experience on 𝕏. xAI
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Grok Build CLI just dropped. Not for dabbling. This is dev mode. Runs in your terminal and actually gets work done. Activate your personal dev mode. SuperGrok Heavy users only. Try it: * Confirm access - this is SuperGrok Heavy only, not your regular plan * Upgrade if needed - or * Install it - run the one-liner in your terminal * Jump into your project - cd into your repo * Launch Grok - type “grok” and log in once * Start prompting - audits, features, fixes, whatever you need * Use plan mode - review tasks and diffs before anything runs * Spin up sub-agents - let it handle big workloads * Go headless - automate scripts when you don’t want to babysit * Keep iterating - refine, rerun, improve You’re up and running in minutes. No excuses. Tip: Start with a small task in an existing repo to get comfortable with the plan and review workflow. xAI engineers are actively gathering feedback. Share your experience on 𝕏. xAI

Mario Nawfal

75,467 views • 3 months ago

BREAKING! Introducing Plus One: A hosted OpenClaw🦞 that lives in your Slack and comes pre-loaded with Every 📧's best tools, skills, and workflows. Set it up in one click, and use your ChatGPT subscription (or any other API key.) Bring your Plus One to work: Connected to the Every 📧 ecosystem Plus Ones automatically use Every 📧's agent-native apps, no setup required: - Cora for searching, sending, and managing email - Spiral for great writing in your voice - Proof ( for agent-native document editing Custom skills and workflows we use and love Plus Ones come pre-loaded with skills and workflows we use ourselves Every 📧 —some we've made, and some we think are great. - Content digest—summarizes the publications you read, starting with Every 📧 - Daily brief—your day's schedule and to-dos sent to you each morning - Animate—turn any static screenshot into an animation with Remotion - Frontend—Anthropic's front-end skill (which we use all the time!) We also make it fast to connect Google, Notion, Github, and more to your Plus One. Our goal is to give you a capable AI coworker right away, not a vanilla OpenClaw that you have to teach from scratch. Why we built Plus One OpenClaw🦞 has changed the way we work at Every. We effectively have a parallel org chart of AI coworkers, each with a name, a manager, and real responsibilities. Because of them our workflows are completely different—our company is different—and we would never go back. But getting here has been hard. Claws require a significant amount of manual setup and require a dedicated machine—like a Mac Mini—running 24/7 to stay responsive. We have learned that the hard part of Claws is the infrastructure around them—the hosting, the integrations, the skills, and the ongoing care. We’ve made them work great for our team, and we want to share everything we’ve learned with you. We're letting in 20 people a week to start, and scaling invites quickly from there. Every 📧 subscribers get priority. Bring your Plus One to work:
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BREAKING! Introducing Plus One: A hosted OpenClaw🦞 that lives in your Slack and comes pre-loaded with Every 📧's best tools, skills, and workflows. Set it up in one click, and use your ChatGPT subscription (or any other API key.) Bring your Plus One to work: Connected to the Every 📧 ecosystem Plus Ones automatically use Every 📧's agent-native apps, no setup required: - Cora for searching, sending, and managing email - Spiral for great writing in your voice - Proof ( for agent-native document editing Custom skills and workflows we use and love Plus Ones come pre-loaded with skills and workflows we use ourselves Every 📧 —some we've made, and some we think are great. - Content digest—summarizes the publications you read, starting with Every 📧 - Daily brief—your day's schedule and to-dos sent to you each morning - Animate—turn any static screenshot into an animation with Remotion - Frontend—Anthropic's front-end skill (which we use all the time!) We also make it fast to connect Google, Notion, Github, and more to your Plus One. Our goal is to give you a capable AI coworker right away, not a vanilla OpenClaw that you have to teach from scratch. Why we built Plus One OpenClaw🦞 has changed the way we work at Every. We effectively have a parallel org chart of AI coworkers, each with a name, a manager, and real responsibilities. Because of them our workflows are completely different—our company is different—and we would never go back. But getting here has been hard. Claws require a significant amount of manual setup and require a dedicated machine—like a Mac Mini—running 24/7 to stay responsive. We have learned that the hard part of Claws is the infrastructure around them—the hosting, the integrations, the skills, and the ongoing care. We’ve made them work great for our team, and we want to share everything we’ve learned with you. We're letting in 20 people a week to start, and scaling invites quickly from there. Every 📧 subscribers get priority. Bring your Plus One to work:

Dan Shipper 📧

260,028 views • 5 months ago

We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!
0:50

We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!

Andy Jassy

49,319 views • 11 months ago

Last November, Peter Steinberger 🦞 was annoyed that there was no good way to talk to his coding agents from his phone, so he built one himself. A few months later, OpenClaw exploded into one of the biggest open source AI projects in the world, with nearly 3,000 contributors and a peak of 4.7 million weekly downloads. At Startup School 2026, Peter tells the story of what happened when OpenClaw took off, what he got wrong as it grew, and how he eventually stopped using the product he had built for himself. He shares why the best products often start with something that annoys you, why focus matters more as building gets easier, and why, in his words, “fun is velocity.” 01:16 — How OpenClaw Started 05:10 — Finding Product-Market Fit 07:01 — The Night OpenClaw Went Viral 09:50 — When the Project Exploded 11:05 — When the Attention Almost Broke Him 12:00 — Did You Sell Out? 14:17 — Your Name Can’t Be Forked 15:03 — What OpenClaw Got Wrong 20:40 — Hype Is Like the Weather 21:37 — When It Stopped Being Fun 25:30 — Fun Is Velocity 26:40 — What’s Next for OpenClaw 28:57 — Three Lessons From Building OpenClaw 30:08 — Q&A
41:52

Last November, Peter Steinberger 🦞 was annoyed that there was no good way to talk to his coding agents from his phone, so he built one himself. A few months later, OpenClaw exploded into one of the biggest open source AI projects in the world, with nearly 3,000 contributors and a peak of 4.7 million weekly downloads. At Startup School 2026, Peter tells the story of what happened when OpenClaw took off, what he got wrong as it grew, and how he eventually stopped using the product he had built for himself. He shares why the best products often start with something that annoys you, why focus matters more as building gets easier, and why, in his words, “fun is velocity.” 01:16 — How OpenClaw Started 05:10 — Finding Product-Market Fit 07:01 — The Night OpenClaw Went Viral 09:50 — When the Project Exploded 11:05 — When the Attention Almost Broke Him 12:00 — Did You Sell Out? 14:17 — Your Name Can’t Be Forked 15:03 — What OpenClaw Got Wrong 20:40 — Hype Is Like the Weather 21:37 — When It Stopped Being Fun 25:30 — Fun Is Velocity 26:40 — What’s Next for OpenClaw 28:57 — Three Lessons From Building OpenClaw 30:08 — Q&A

Y Combinator

59,248 views • 25 days ago

💧BotDrop is live! Want to run OpenClaw🦞 but don't want to buy a Mac mini? Intimidated by terminals? Got an old Android collecting dust? That phone is about to become your personal AI host. ⸻ I just shipped the first version of BotDrop — a way to host AI agents directly on your Android devices. No servers, no cloud bills. That forgotten phone becomes your personal AI host, running 24/7 providing AI power. ⸻ Why this matters: → Zero infrastructure cost — use hardware you already have → Always with you — your agent lives where you live → True ownership — your data stays on your device ⸻ What works now: → Full setup flow via Telegram bot → OpenClaw integration on Android → Tested with Anthropic (setup token) and Gemini (API key) → Other API keys should work too — OAuth support coming soon → Switch models anytime via bot commands after setup ⸻ What this is NOT (yet): → Battle-tested — this is v0.1, expect rough edges → Feature-complete — we're starting minimal → Able to control your phone — for now it just lives there, can't order takeout for you yet ⸻ But this is just the beginning. Where it goes next? You decide. This is an open invitation. Hit bugs? File issues. Want features? Open PRs. Just curious? Join our Discord. Let's build this together. 🔧 🔗 Home(📥): 🔗 Discord: #OpenClaw #BotDrop #AIAgent #Android
1:36

💧BotDrop is live! Want to run OpenClaw🦞 but don't want to buy a Mac mini? Intimidated by terminals? Got an old Android collecting dust? That phone is about to become your personal AI host. ⸻ I just shipped the first version of BotDrop — a way to host AI agents directly on your Android devices. No servers, no cloud bills. That forgotten phone becomes your personal AI host, running 24/7 providing AI power. ⸻ Why this matters: → Zero infrastructure cost — use hardware you already have → Always with you — your agent lives where you live → True ownership — your data stays on your device ⸻ What works now: → Full setup flow via Telegram bot → OpenClaw integration on Android → Tested with Anthropic (setup token) and Gemini (API key) → Other API keys should work too — OAuth support coming soon → Switch models anytime via bot commands after setup ⸻ What this is NOT (yet): → Battle-tested — this is v0.1, expect rough edges → Feature-complete — we're starting minimal → Able to control your phone — for now it just lives there, can't order takeout for you yet ⸻ But this is just the beginning. Where it goes next? You decide. This is an open invitation. Hit bugs? File issues. Want features? Open PRs. Just curious? Join our Discord. Let's build this together. 🔧 🔗 Home(📥): 🔗 Discord: #OpenClaw #BotDrop #AIAgent #Android

BotDrop - Agent Store on Your Spare Android

34,882 views • 6 months ago

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:
0:21

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

LlamaIndex 🦙

34,945 views • 5 months ago

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

622,600 views • 4 months ago