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🦞 OpenClaw 3.7 JUST DROPPED and it's HUGE. ✅ Context Engine Plugin API - Say goodbye to context loss. Plugins like lossless-claw can now preserve full memory without touching core logic. ✅ 30% Faster with LongCat - New official integration solves the Google/Anthropic ban problem. Faster tasks, stable API,... show more

Boxmining

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127,735 次观看 • 6 个月前 •via X (Twitter)

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Why is everyone ditching OpenClaw🦞 for Hermes? ⚡️ ✅ Auto-evolves skills ✅ Transparent memory management ✅ Bring your own API keys ✅ Prompt caching built-in ✅ FREE to use We tested it..it actually works better. See the comparison here👇

Why is everyone ditching OpenClaw🦞 for Hermes? ⚡️ ✅ Auto-evolves skills ✅ Transparent memory management ✅ Bring your own API keys ✅ Prompt caching built-in ✅ FREE to use We tested it..it actually works better. See the comparison here👇

Boxmining

21,270 次观看 • 5 个月前

🚀 NVIDIA just dropped NEMO Claw. A game-changing security layer for OpenClaw🦞 agents! Learn how to set it up in minutes (even on Discord) + why this solves AI's biggest security problem.

🚀 NVIDIA just dropped NEMO Claw. A game-changing security layer for OpenClaw🦞 agents! Learn how to set it up in minutes (even on Discord) + why this solves AI's biggest security problem.

Boxmining

25,371 次观看 • 6 个月前

OpenClaw just made the world's smartest AI model its default brain. And the whole thing is still free. GPT 5.4 is now built in. No extra setup. Just pick OpenAI and go. But that's not even the biggest part of this update. Here's the full stack that just dropped: → Pluggable context engines. You can now swap how your AI remembers things. Like upgrading from a notebook to a filing cabinet. → ACP bindings survive restarts. Your agents reconnect automatically. No more broken workflows at 3am. → Secret ref. Passwords and API keys never sit in plain text again. → Slim Docker builds. Smaller containers. Faster deploys. Lower costs. → Gemini 3.1 Flash Light support. Super fast, super cheap. Perfect for high-volume tasks. → iPhone photos auto-convert. No more "unsupported format" errors. → Hundreds of channel fixes across Telegram, Discord, Slack, WhatsApp, and Signal. 6 months ago, this level of AI infrastructure cost thousands. Now one person can set it up in 10 minutes for $0. Save this. It's the most packed free update you'll see this month.

OpenClaw just made the world's smartest AI model its default brain. And the whole thing is still free. GPT 5.4 is now built in. No extra setup. Just pick OpenAI and go. But that's not even the biggest part of this update. Here's the full stack that just dropped: → Pluggable context engines. You can now swap how your AI remembers things. Like upgrading from a notebook to a filing cabinet. → ACP bindings survive restarts. Your agents reconnect automatically. No more broken workflows at 3am. → Secret ref. Passwords and API keys never sit in plain text again. → Slim Docker builds. Smaller containers. Faster deploys. Lower costs. → Gemini 3.1 Flash Light support. Super fast, super cheap. Perfect for high-volume tasks. → iPhone photos auto-convert. No more "unsupported format" errors. → Hundreds of channel fixes across Telegram, Discord, Slack, WhatsApp, and Signal. 6 months ago, this level of AI infrastructure cost thousands. Now one person can set it up in 10 minutes for $0. Save this. It's the most packed free update you'll see this month.

Julian Goldie SEO

14,750 次观看 • 6 个月前

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

29,865 次观看 • 6 个月前

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

94,552 次观看 • 6 个月前

"Why is my OpenClaw🦞 AI agent getting forgetting things over time?" 🤔 We spent weeks figuring out why some agents are genius & others are... morons. The fix? Counterintuitive af. How to Build Your OpenClaw AI Agent the RIGHT Way 👇

"Why is my OpenClaw🦞 AI agent getting forgetting things over time?" 🤔 We spent weeks figuring out why some agents are genius & others are... morons. The fix? Counterintuitive af. How to Build Your OpenClaw AI Agent the RIGHT Way 👇

Boxmining

25,351 次观看 • 6 个月前

💧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 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

34,913 次观看 • 7 个月前

OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative. So, I built it with n8n and Claude Opus 4.6. It can already: - Reply to your Telegram messages - Access selected folders from your laptop - Access Gmail, Drive, Notion, Linear, etc. - Install new local tools in a sandbox - Run autonomously for hours - Create multiple subagents - Learn from experience - Wake up regularly But, unlike OpenClaw, it: - Can't access your API keys - Can't modify its environment - Can't access folders you haven't shared - Can't access tools you haven't approved - Must get your confirmation, e.g., when sending emails These aren’t prompt instructions. They’re hard architectural boundaries — Docker isolation, mounted folder permissions, n8n’s tool approval system. Key components: ✅ The VPS on Hostinger hosts n8n and a sandbox container. Agents can also connect to my laptop's sandbox via a Claudeflare tunnel + Desktop Commander MCP. ✅ The Manager agent is the brain. It plans, decides, delegates, and talks to the user. It never touches files. It never runs scripts. It works entirely from executor summaries. ✅ The Executor agents are the hands. Each receives a task (what to do + why it matters), decides how to execute it, and reports back. They can install new tools and execute code only in their dedicated sandboxes. ✅ Data Tables in n8n store both memories and sessions — no external database, no vector store, no infrastructure. Just rows in a table. Turns out, that's enough. Two memory types: - Manager memory: user preferences, facts, corrections, relationship, skills, context - Executor memory: what tools are installed, what’s broken, workarounds ✅ Sessions are short-term state for multi-step tasks. Original request, plan, assumptions, and what happened so far. When the Manager loops with fresh context, the session is all it gets. That's a Ralph Wiggum loop. I've been using it for 5 days. And already can't imagine not having it on my phone. What's next: - Heartbeat via Cron (a scheduled prompt) - Civic Nexus governance + MCPs - Supermemory integration - WhatsApp as an additional surface - Hardening The architecture supports all of it. OpenClaw proved people want personal AI agents. It also proved that 'just trust the prompt' isn't a security model. Docker isolation, mounted folder permissions, tool approval — none of this is new technology. It's just discipline. You can easily do this even with n8n — no coding required. --- Want to try it or read more? More, what I learned, and a setup guide: productcompass[.]pm

OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative. So, I built it with n8n and Claude Opus 4.6. It can already: - Reply to your Telegram messages - Access selected folders from your laptop - Access Gmail, Drive, Notion, Linear, etc. - Install new local tools in a sandbox - Run autonomously for hours - Create multiple subagents - Learn from experience - Wake up regularly But, unlike OpenClaw, it: - Can't access your API keys - Can't modify its environment - Can't access folders you haven't shared - Can't access tools you haven't approved - Must get your confirmation, e.g., when sending emails These aren’t prompt instructions. They’re hard architectural boundaries — Docker isolation, mounted folder permissions, n8n’s tool approval system. Key components: ✅ The VPS on Hostinger hosts n8n and a sandbox container. Agents can also connect to my laptop's sandbox via a Claudeflare tunnel + Desktop Commander MCP. ✅ The Manager agent is the brain. It plans, decides, delegates, and talks to the user. It never touches files. It never runs scripts. It works entirely from executor summaries. ✅ The Executor agents are the hands. Each receives a task (what to do + why it matters), decides how to execute it, and reports back. They can install new tools and execute code only in their dedicated sandboxes. ✅ Data Tables in n8n store both memories and sessions — no external database, no vector store, no infrastructure. Just rows in a table. Turns out, that's enough. Two memory types: - Manager memory: user preferences, facts, corrections, relationship, skills, context - Executor memory: what tools are installed, what’s broken, workarounds ✅ Sessions are short-term state for multi-step tasks. Original request, plan, assumptions, and what happened so far. When the Manager loops with fresh context, the session is all it gets. That's a Ralph Wiggum loop. I've been using it for 5 days. And already can't imagine not having it on my phone. What's next: - Heartbeat via Cron (a scheduled prompt) - Civic Nexus governance + MCPs - Supermemory integration - WhatsApp as an additional surface - Hardening The architecture supports all of it. OpenClaw proved people want personal AI agents. It also proved that 'just trust the prompt' isn't a security model. Docker isolation, mounted folder permissions, tool approval — none of this is new technology. It's just discipline. You can easily do this even with n8n — no coding required. --- Want to try it or read more? More, what I learned, and a setup guide: productcompass[.]pm

Paweł Huryn

54,038 次观看 • 7 个月前

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

12,794 次观看 • 4 个月前

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

13,015 次观看 • 5 个月前

Chinese labs aren't just dropping model weights anymore, they're building full ecosystems. Z.ai's ZCode + GLM 5.2 = native IDE, 1M context, agentic workflows, and now dSpark speculative decoding. The open model platform war is here. 👇

Chinese labs aren't just dropping model weights anymore, they're building full ecosystems. Z.ai's ZCode + GLM 5.2 = native IDE, 1M context, agentic workflows, and now dSpark speculative decoding. The open model platform war is here. 👇

Boxmining

14,831 次观看 • 2 个月前

This is not an AI tool. This is not an AI assistant. naïve is something the world has never seen before. Every AI product you've used until now made you better at doing the work, faster writing, faster coding, faster research. You were still doing the work. AI was just helping you do it quicker. Naive is a completely different category. You don't use Naive to do the work. You hire Naive to run the business. You describe what you want. Naive spins up a full team of AI employees and hands you a company that's already operating: 🤝 A sales rep booking meetings while you sleep 📈 An SEO manager publishing and ranking content on autopilot 💻 A full-stack engineer shipping production code without review 💰 A finance manager reconciling accounts and generating reports 🔍 A recruiting agent sourcing and reaching out to candidates 🎧 A support agent resolving tickets and tracking satisfaction scores Each employee has their own email inbox, bank account, phone number, legal entity, and compute environment. They never ask you for help. They share context, delegate tasks, and coordinate as a fully functioning team, extracting patterns from every outcome and getting smarter over time. You set a budget. You define the goal. You walk away. This is not productivity software. This is not a chatbot with a nice interface. This is a new category of company creation that did not exist until now. The numbers speak for themselves: ✅ Hundreds of founders already launched on the platform 📊 Active businesses growing 32% week over week ⚡ Tasks completed growing 42% week over week 💵 Real ARR being generated with zero human employees Every AI tool you've ever used made you a better worker. Naive makes you an owner. 👉 Launch your business today → #NaïveAI2B9YHR

This is not an AI tool. This is not an AI assistant. naïve is something the world has never seen before. Every AI product you've used until now made you better at doing the work, faster writing, faster coding, faster research. You were still doing the work. AI was just helping you do it quicker. Naive is a completely different category. You don't use Naive to do the work. You hire Naive to run the business. You describe what you want. Naive spins up a full team of AI employees and hands you a company that's already operating: 🤝 A sales rep booking meetings while you sleep 📈 An SEO manager publishing and ranking content on autopilot 💻 A full-stack engineer shipping production code without review 💰 A finance manager reconciling accounts and generating reports 🔍 A recruiting agent sourcing and reaching out to candidates 🎧 A support agent resolving tickets and tracking satisfaction scores Each employee has their own email inbox, bank account, phone number, legal entity, and compute environment. They never ask you for help. They share context, delegate tasks, and coordinate as a fully functioning team, extracting patterns from every outcome and getting smarter over time. You set a budget. You define the goal. You walk away. This is not productivity software. This is not a chatbot with a nice interface. This is a new category of company creation that did not exist until now. The numbers speak for themselves: ✅ Hundreds of founders already launched on the platform 📊 Active businesses growing 32% week over week ⚡ Tasks completed growing 42% week over week 💵 Real ARR being generated with zero human employees Every AI tool you've ever used made you a better worker. Naive makes you an owner. 👉 Launch your business today → #NaïveAI2B9YHR

Gina Acosta

24,008 次观看 • 4 个月前

🚨 Hermes Agent V0.11 just dropped & it's MASSIVE. New ink-based TUI, native AWS Bedrock, GPT-5.5 via Codex OAuth, subagent orchestration, 17 messaging platforms & 104 skills. This might be the biggest AI agent update yet. 🎯 Watch the full breakdown 👇

🚨 Hermes Agent V0.11 just dropped & it's MASSIVE. New ink-based TUI, native AWS Bedrock, GPT-5.5 via Codex OAuth, subagent orchestration, 17 messaging platforms & 104 skills. This might be the biggest AI agent update yet. 🎯 Watch the full breakdown 👇

Boxmining

24,089 次观看 • 4 个月前

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

slash1s

70,940 次观看 • 4 个月前

🚨 Claude Opus 4.7 just dropped (Claude) and we tested it so you don't have to. Spoiler: it's basically Opus 4.6 with a price hike. We ran the benchmarks. We built the games. We hit the rate limits. The results? Not what Anthropic promised. 👇 Watch the full breakdown before you upgrade:

🚨 Claude Opus 4.7 just dropped (Claude) and we tested it so you don't have to. Spoiler: it's basically Opus 4.6 with a price hike. We ran the benchmarks. We built the games. We hit the rate limits. The results? Not what Anthropic promised. 👇 Watch the full breakdown before you upgrade:

Boxmining

11,571 次观看 • 5 个月前

🧵 Hermes Agent 0.10 just dropped...and it's a BIG one. $10/month unlocks web search, browser automation, image gen & TTS. NO extra APIs needed. Best part? Bring your own models (Z.ai, Kimi.ai, MiniMax (official)) and skip the per-token fees. 🔥 Watch the full breakdown 👇

🧵 Hermes Agent 0.10 just dropped...and it's a BIG one. $10/month unlocks web search, browser automation, image gen & TTS. NO extra APIs needed. Best part? Bring your own models (Z.ai, Kimi.ai, MiniMax (official)) and skip the per-token fees. 🔥 Watch the full breakdown 👇

Boxmining

30,684 次观看 • 5 个月前

"I'm not an engineer but somehow I'm able to ship things of value, which is crazy and weird and still blowing my mind." Here's my new episode with Matt Van Horn, a non-technical founder who has contributed to 100+ open source projects and reached 44K+ GitHub stars despite not knowing how to code. We cover: → How he uses Compound Engineering to build without reading code or plans → How you can use Printing Press to give your agent access to almost any website or app → How he contributed to Python, Go, OpenClaw, and other top repos Some quotes from Matt: "My favorite tool for building anything is Compound Engineering. The killer skills are CE plan and CE work." "What if anyone could print their own CLI? Google Flights and Kayak don't have an official API, but Printing Press lets you find all the secret APIs that exist." "Just build, just launch. It's okay even if you build something for yourself. Even if I had no users of Agent Cookie, I get value out of it." 📌 Watch now: Thanks to our sponsor: Riverside: All-in-one AI studio for podcasts and video Wispr Flow: 4x faster than typing with your voice

"I'm not an engineer but somehow I'm able to ship things of value, which is crazy and weird and still blowing my mind." Here's my new episode with Matt Van Horn, a non-technical founder who has contributed to 100+ open source projects and reached 44K+ GitHub stars despite not knowing how to code. We cover: → How he uses Compound Engineering to build without reading code or plans → How you can use Printing Press to give your agent access to almost any website or app → How he contributed to Python, Go, OpenClaw, and other top repos Some quotes from Matt: "My favorite tool for building anything is Compound Engineering. The killer skills are CE plan and CE work." "What if anyone could print their own CLI? Google Flights and Kayak don't have an official API, but Printing Press lets you find all the secret APIs that exist." "Just build, just launch. It's okay even if you build something for yourself. Even if I had no users of Agent Cookie, I get value out of it." 📌 Watch now: Thanks to our sponsor: Riverside: All-in-one AI studio for podcasts and video Wispr Flow: 4x faster than typing with your voice

Peter Yang

94,838 次观看 • 3 个月前

HERMES AGENT HAS 5 SYSTEMS RUNNING UNDER THE HOOD. UNDERSTAND THEM AND YOU USE THE AGENT 10X BETTER. In this video Alejandro AO 🤗 explained: 1. THE AGENT LOOP every message triggers the same cycle: → you send a message → Hermes builds context (SOUL.md + memory.md + user.md + skills + tools + message history) → sends everything to the LLM → LLM decides: call a tool or respond → if tool call: execute, return result, loop back → if response: deliver to you → after response: memory update (agent checks if anything is worth remembering, writes to memory.md or user.md) this loop is why Hermes gets better over time. the memory update after every response means the agent learns from every conversation. 2. CONTEXT ASSEMBLY what the LLM sees on every turn: → SOUL.md (your agent's personality and rules) → memory.md (facts the agent learned over time) → user.md (facts about you, auto-updated) → AGENTS.md and .hermes.md (project context files) → skill descriptions (loaded on demand) → tool schemas (available actions) → message history (current conversation) if SOUL.md is empty, Hermes falls back to a default system prompt. write your own SOUL.md and the agent becomes yours, not generic. CONTEXT COMPRESSION: conversations hit context limits. Hermes handles this at two checkpoints: preflight: before each turn. if conversation exceeds 50% of context window, compression fires. older messages get summarized. last 20 messages stay intact (protect_last_n). gateway auto-compression: between turns. fires at 85%. more aggressive. prevents API errors before the agent even starts processing your message. after compression, a new session lineage ID is generated. the agent can trace back to the original conversation through SQLite. three things break prompt cache: switching models mid-session, changing memory files, or changing context files. 3. THE GATEWAY the system that keeps Hermes reachable on 27+ messaging platforms. an async loop runs continuously. listens for incoming messages from Telegram, Discord, Slack, WhatsApp, email, SMS, and every other adapter. when a message arrives: → gateway identifies which session it belongs to → queries SQLite for the full message history (session ID = platform prefix + chat ID) → builds the context from scratch → sends everything into the agent loop → delivers the response back to the platform the gateway also runs the session manager. when you send a message while the agent is busy: → default: queued for next turn → /steer: injected without interrupting → /interrupt: stops current work without the gateway, Hermes is a CLI tool. with the gateway, Hermes is an always-on agent you reach from your phone. 4. MEMORY (THREE LAYERS) LAYER 1 — MARKDOWN FILES SOUL.md (identity), memory.md (learned facts), user.md (facts about you). injected into context after the system prompt. updated by the agent after every response. LAYER 2 — SQLITE full transcripts of every session stored locally. FTS5 full-text search across all past conversations. session lineage tracking across compressions. the agent can recall what you discussed weeks ago using /recall or session search. LAYER 3 — EXTERNAL PROVIDERS (optional) 8 supported providers: Mem0, SuperMemory, Honcho, Zep, and more. each works differently (semantic search, LLM extraction, similarity matching). queried after the first message in each session. the agent processes your topic first, then checks external memory for related context from past conversations. not enabled by default. enable for significantly better long-term recall. 5. CRON ENGINE a loop inside the gateway ticks every 60 seconds. each tick checks ~/.hermes/cron/jobs.json for scheduled tasks. if a job is due: → fresh session (no chat history, no memory pollution) → execute the prompt with assigned tools → store the run output as markdown in ~/.hermes/cron/output/[job-id]/ → deliver result to your home messaging platform cron does NOT use the send_message tool. delivery happens at the system level, not the agent level. a cron session cannot create more cron jobs. prevents runaway loops. WHY THIS MATTERS: the agent loop teaches it. the context assembly focuses it. the gateway reaches it. the memory remembers it. the cron engine automates it. five systems. one agent. understanding how they connect changes how you configure every level. full 15 levels breakdown in the article 👇

HERMES AGENT HAS 5 SYSTEMS RUNNING UNDER THE HOOD. UNDERSTAND THEM AND YOU USE THE AGENT 10X BETTER. In this video Alejandro AO 🤗 explained: 1. THE AGENT LOOP every message triggers the same cycle: → you send a message → Hermes builds context (SOUL.md + memory.md + user.md + skills + tools + message history) → sends everything to the LLM → LLM decides: call a tool or respond → if tool call: execute, return result, loop back → if response: deliver to you → after response: memory update (agent checks if anything is worth remembering, writes to memory.md or user.md) this loop is why Hermes gets better over time. the memory update after every response means the agent learns from every conversation. 2. CONTEXT ASSEMBLY what the LLM sees on every turn: → SOUL.md (your agent's personality and rules) → memory.md (facts the agent learned over time) → user.md (facts about you, auto-updated) → AGENTS.md and .hermes.md (project context files) → skill descriptions (loaded on demand) → tool schemas (available actions) → message history (current conversation) if SOUL.md is empty, Hermes falls back to a default system prompt. write your own SOUL.md and the agent becomes yours, not generic. CONTEXT COMPRESSION: conversations hit context limits. Hermes handles this at two checkpoints: preflight: before each turn. if conversation exceeds 50% of context window, compression fires. older messages get summarized. last 20 messages stay intact (protect_last_n). gateway auto-compression: between turns. fires at 85%. more aggressive. prevents API errors before the agent even starts processing your message. after compression, a new session lineage ID is generated. the agent can trace back to the original conversation through SQLite. three things break prompt cache: switching models mid-session, changing memory files, or changing context files. 3. THE GATEWAY the system that keeps Hermes reachable on 27+ messaging platforms. an async loop runs continuously. listens for incoming messages from Telegram, Discord, Slack, WhatsApp, email, SMS, and every other adapter. when a message arrives: → gateway identifies which session it belongs to → queries SQLite for the full message history (session ID = platform prefix + chat ID) → builds the context from scratch → sends everything into the agent loop → delivers the response back to the platform the gateway also runs the session manager. when you send a message while the agent is busy: → default: queued for next turn → /steer: injected without interrupting → /interrupt: stops current work without the gateway, Hermes is a CLI tool. with the gateway, Hermes is an always-on agent you reach from your phone. 4. MEMORY (THREE LAYERS) LAYER 1 — MARKDOWN FILES SOUL.md (identity), memory.md (learned facts), user.md (facts about you). injected into context after the system prompt. updated by the agent after every response. LAYER 2 — SQLITE full transcripts of every session stored locally. FTS5 full-text search across all past conversations. session lineage tracking across compressions. the agent can recall what you discussed weeks ago using /recall or session search. LAYER 3 — EXTERNAL PROVIDERS (optional) 8 supported providers: Mem0, SuperMemory, Honcho, Zep, and more. each works differently (semantic search, LLM extraction, similarity matching). queried after the first message in each session. the agent processes your topic first, then checks external memory for related context from past conversations. not enabled by default. enable for significantly better long-term recall. 5. CRON ENGINE a loop inside the gateway ticks every 60 seconds. each tick checks ~/.hermes/cron/jobs.json for scheduled tasks. if a job is due: → fresh session (no chat history, no memory pollution) → execute the prompt with assigned tools → store the run output as markdown in ~/.hermes/cron/output/[job-id]/ → deliver result to your home messaging platform cron does NOT use the send_message tool. delivery happens at the system level, not the agent level. a cron session cannot create more cron jobs. prevents runaway loops. WHY THIS MATTERS: the agent loop teaches it. the context assembly focuses it. the gateway reaches it. the memory remembers it. the cron engine automates it. five systems. one agent. understanding how they connect changes how you configure every level. full 15 levels breakdown in the article 👇

YanXbt

51,932 次观看 • 2 个月前