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@JJEnglert @openclaw The integration friction is exactly the on ramp that needs flattening @AgentStandardAI

After a month of watching my fellow builders set up their @openclaw , I finally took the plunge this past week. Last night my agent ran overnight on a project we came up with together, and it was ready for review when I woke up this morning. It has its own GitHub account. Its own email. Its own Twitter. It runs 24/7 on an old MacBook Pro with the lid closed. And it has enough tools connected to actually do real work. But the magic moment wasn't the overnight build. It was something way simpler. I told it to message me at 7:30 AM with a daily plan. And it just did it. Figured out how to do it on its own. That "figure it out" mentality from an agent that actually has access to tools and a computer felt different than anything I've used before. For the first time, it felt like something capable of doing real stuff. Not a chatbot. Something else. And I'm just scratching the surface. It took me about 8 hours to get here. I want to help you get there faster. Here's everything I learned along the way, plus a prompt you can copy and paste into your OpenClaw once you're set up. Getting started I set it up on an old MacBook Pro. Dedicated device. You want this running independently so it does not have access to your data. Having a virtual device on @Hetzner_Online is also good. Installation took about an hour. Then I spent the next two hours having Codex tighten the security before training it anymore. Sandbox commands. Whitelist only what you need. Do this first. Then I hit a wall. It felt like a chatbot. Limited permissions. Couldn't access tools. Couldn't browse. It took another 2-4 hours to get terminal access and Playwright browser control working. I used Caffeinate in terminal to keep it running with the lid closed. I set up dedicated accounts. GitHub, email, Twitter. Give it its own identity so it can operate independently. Training it - Keep your Heartbeat.md lean. It gets read every session and burns tokens if it's bloated. Identity, active projects, key preferences. That's the hot cache. - Install a memory plugin early (ClawVault, Supermemory, or Lumen Notes). Persistent memory across sessions is what takes it from chatbot to something that knows your work. - Build skill files for recurring output. Emails, social posts, documents. Each gets its own file with format, voice rules, examples, and a checklist. It follows these like playbooks. - Define your agent's persona and tone. I built out voice files based on what I'd already created in Cowork and the output quality jumped immediately. - Point it at your existing repos. It can pull context from anything you give it access to. If you've already built structure somewhere, don't rebuild it. Reference it. Best advice I got from experienced OpenClaw builders Force plan before execution. Make it tell you what it's going to do before it does it. Saved me from multiple rabbit holes. Back up your repo to GitHub every night. Your config files, skills, and memory directory are the training. Lose them and you're starting over. Think in workflows, not one-off tasks. This compounds fast. I also applied the same repo structure from my Cowork setup guide: Your-Workspace/ ├── Heartbeat.md ├── Brain/ │ ├── about-me.md │ ├── brand-voice.md │ └── working-preferences.md ├── Skills/ ├── Projects/ └── Memory/ I'm about a week in. Still early. But I can see where this is going and I wish I'd started sooner. If you're just getting started, here's the prompt I'd paste in on day one to fast-track the whole setup: -- You are going to help me set up my workspace so that every future session starts with full context about who I am, what I do, and how I work. We're building the files and structure that make you useful from the first message. Interview me in phases. Ask questions, then build files based on my answers. Don't rush. Don't assume. Ask before you build. Phase 0: Foundation Check if I have a Heartbeat.md file. If not, create one. Keep it lean. Recommend a memory plugin for persistent context. Ask what tools I use daily and help me connect them. Recommend sandboxing and whitelisting commands from the start. Phase 1: Identity Interview me to create Brain/about-me.md. Ask about my work, background, what I'm building, and positioning. Show the file. Get approval before moving on. Phase 2: Voice Interview me about how I want my agent to sound. Phrases I use. Phrases I'd never use. Tone shifts by context. Create Brain/brand-voice.md. Get approval. Phase 3: Working Preferences What I want help with. Communication style. Workflow pain points. Output preferences. Create Brain/working-preferences.md. Get approval. Phase 4: Skill Files For each type of recurring output, create a skill file in its own folder under Skills/. Each gets: format, voice rules, examples, quality checklist. Ask what I create most often before building. Phase 5: Active Projects Current projects, goals, deadlines. Individual files in Projects/. Phase 6: Memory System Update Heartbeat.md with a summary of everything we built. Create Memory/ directory with subfolders for people, projects, context. Add glossary.md. Phase 7: Reference Sources Any existing repos, docs, or files I want referenced. Organize access. Rules: One phase at a time. Show each file before saving. If unsure, ask. Concise files. Lowercase, hyphens, .md format. Start with Phase 0.

@1Umairshaikh Your personal AI, certified. Packages that teach your agent who you are in 60 seconds. ✦ agentstandard.ai @AgentStandardAI

💥 Pitch your startup: • 1 line about it • Add your link Seen by 63201 people last week. Yes, it counts as marketing, go!🚀

@CiprianiRanieri @AgentStandardAI

Builders only. Drop your SaaS. Let's see it.

@iamlukethedev Very interesting. We’re building a similar agentic viz platform currently at @AgentStandardAI - love the humanizing element of the voice playbook cool share !

Agents can now talk back to you. Not just text. Actual voice responses from your agents. This is starting to feel less like software and more like running an AI company.

@bloggersarvesh This works. The problem is pasting it every time, into every new session, hoping the context holds. That's what @AgentStandardAI packages solve that … the prompt lives in the agent. You don't paste it. You just start. The solutions for enterprise b2b and consumer will differ.

call me annoying but..I will keep repeating this… Claude + SEO is going to create a bunch of business “millionaires” this year. don’t bookmark this if it crosses your timeline. Just paste this entire thing into Claude. thank me later.

@bloggersarvesh @AgentStandardAI 👀

@putterhoarder @AgentStandardAI #contextrot it’s an issue.

@AgentStandardAI Happens far too often!

In long AI sessions, the agent starts forgetting things. Contradicting itself. Ignoring rules it followed fine an hour ago. Nobody named it. We're calling it context rot. The most common failure mode in personal AI. And it's fixable. #AIagents #AgentStandard

@AgentStandardAI The layer above is the answer

The AI agent standards war is happening now. MCP. A2A. ACP. AAIF. Most personal AI users have no idea this exists. Or why it matters. It matters because whoever controls the skill standard controls the ecosystem. #AgenticAI #AgentStandard

Stateful vs stateless

Your AI agent should: - Know your context without being told every session - Have skills tuned to your actual use cases - Not hallucinate instructions from 20 mins ago If yours doesn't: you're running a chatbot, not an agent. #PersonalAI #AgentStandard

A gap in the trust layer of the ecosystem.

@AgentStandardAI 🔥

AgentStandard is live. Your personal AI, certified. ✦ agentstandard.ai

@Base44 So it’s like @AgentStandardAI but for dev instead of consumer

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

@oliviscusAI @AgentStandardAI

Someone just built a Pixel Office for your OpenClaw 🤯 It gives your AI a digital workspace where a lobster walks around based on what it's doing. If it's thinking, it goes to work. If it's idle, it rests. If it fails, it goes to the bug area. 100% Open Source.

I'm claiming my AI agent "agentstandard_ai" on @moltbook 🦞 Verification: wave-JLAA

@moonbirds @oddities_xyz @gremplin Pretty fired up with my mythic mint. Qwack Qwack. #6909

We asked; you voted. 88% of you chose to close the @oddities_xyz burn window on Thursday, November 15. Will you burn for a Mythic or vibe with @gremplin's Oddities? You have one week to make your final decision. 🫡

Masterclass by @jackbutcher @jalil_eth , as is tradition. Forever blurring the lines between art, math, and game theory.

@wearekent_ If could be so kind … Is this on there? 0xe058d4B6b90e10dB50e166Ac4387CA13e175e7e5

This excel contains 138162 wallets with unclaimed crypto airdrops total value 142.655.908 $ (142.65 MIL$) Search you wallets on this Excel ~ 2 months of work docs.google.com/spreadsheets/d…

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