Reading up on OpenClaw

Some more dumb questions about Codex: 1. I use it on my primary laptop which I don't keep on all the time so I don't like setting up cron jobs there. Can I set up the app on my Mac Mini too and run all the cron jobs through that? I have a feeling it's gonna replace OpenClaw/Hermes for me then. 2. Is the image gen feature on Codex basically free? It's using ChatGPT Images 2? 3. Anyone tried generating images first and then using @HeyGen hyperframes to generate videos?

@petergyang

Printing Press library now native in @openclaw and @NousResearch Hermes skill stores. Just tell your agent. I recommend ESPN and Flight Goat as starting cli/skills to install. @ppressdev. Plus 200 more native tools now.

@mvanhorn

Excited to release 🌟Polar🌟, our Agent RL rollout infra for real-world harnesses. Be it Codex, Claude Code, OpenClaw, Hermes, or your self-made ones 🔥 -- Polar takes your harnesses directly as training environments without code change. Find a problem, design the harness, and train your own agents! 🧵

@billxbf

Introducing: Tesla CLI/Claude Code Skill/OpenClaw and Hermes skill from the @ppressdev. - "Unlock the car" and "turn on dog mode" as one-line commands, callable from your phone or laptop - Agent: "during winter school days, defrost my car at 7:50 every weekday before school dropoff" - Charging cost ledger - Supercharger queue watcher pageable from an agent - Your signing key stays on YOUR host - Much more Fun fact: when I got my first ClawdBot, Tesla was one of the first skills I made. But I could only get it to work with my older Tesla. Now that I have the Printing Press, I was able to build what I wanted soup to nuts and now it's here.

@mvanhorn

Exa is what I trust for all my agents. We use it at YC. We use it in all my OpenClaw and Hermes Agents. There is no other option that is as fast, as reliable, and as complete. When your agents need to search the web, accept no substitutes.

@garrytan

What is GBrain? My open source project is a knowledge system, not RAG in a box. It gives agents 8 layers that work together to improve memory in a way that makes your already smart OpenClaw or Hermes Agent feel clairvoyant about who you are. Personal AI becomes possible.

@garrytan

People freaking out over my AI spend. What nobody sees: Part of what excites me so much about working on OpenClaw is that I'm trying to answer the question: How would we build software in the future if tokens don't matter? We constant run ~100 codex in the cloud, reviewing every PR, every issue. If a fix on main lands, @clawsweeper will eventually find that 6 month old issue and close it with an exact reference. We run codex on every commit to review for security issues (as it's far too easy to miss). We run codex to de-duplicate issues and find clusters and send reports for the most pressing issues. We have agents that can recreate complex setups, spin up ephemeral

@steipete

This is a detailed walkthrough of how I run a 1-person VC-funded startup. Eng: @DevinAI Chief of Staff: @openclaw + @OpenAI Design: @BrettFromDJ Fave pod: @twentyminutevc GTM: @openclaw + @DevinAI + skills Infra: @vercel

@ryancarson

CrabTrap: an LLM-as-a-judge HTTP proxy to secure agents in production

@pedroh96

I've been in the process of building a custom home for 5 years. Bought the land in 2021. Got the building permit this year. Haven't started construction yet. During those 5 years, I accumulated thousands of emails with dozens of architects, engineers, surveyors, contractors, government agencies, title companies, and others. Hundreds of PDFs I opened once and never found again. My project management system was email search and my own memory. I could always find individual emails when I needed them. What I couldn't do was see the project. How much money have we actually spent, and on what? Who are all the contractors we talked to, and how did we find each one? What happened with the easement, not one email about it, but the full arc across three years? Why did we stop using the original surveyor? The answers were all in my inbox. But they were spread across hundreds of threads. No single email contained the story. The story only existed in the connections between them. So I tried something. I pointed OpenClaw at my full email inbox and said: read all my emails in chronological order and figure out what happened with this project over the last 5 years. Build me a timeline. Find all the documents. Track the money. Map the people. That's it. I didn't sort anything. I didn't classify anything. I didn't tell it which threads mattered. I just pointed at the inbox and let it work. And it worked way better than I expected. It found 1,850 emails across 450 threads involving 58 people at 35 organizations. From that, it produced 511 timeline events describing what actually happened over 5 years. Not "Daniel emailed the architect" but "Easement delay threatens grading permit" or "architect warns the entire permit depends on securing the neighbor's access agreement." Real project history in PM language. It identified 690 documents and classified each one: invoice, permit, survey map, legal agreement, environmental report, estimate, and so on, and it linked them to the timeline events that referenced them. It extracted 170 finance records from email bodies and PDF attachments. Invoices, payments, estimates, and receipts with amounts, dates, and payees pulled from messy documents. It mapped out 58 contacts with their roles, their organizations, and how they related to the project over time. All interlinked. Click a timeline event, see the emails that produced it and the documents attached. Click a payment, trace it back to the invoice and the email thread. Click a person, see every event they were involved in. It built a dashboard on top of it and for the first time in 5 years, I could actually see the whole project. The full arc. Every dollar. Every person. Every decision. Stitched together from raw correspondence into something I can sit down and browse. The key insight for me was realizing this is basically an ETL process: Extract, Transform, and Load. The emails are the source data. The agent does the extraction from emails and loading into a database. But the really powerful part is the Transform: the LLM reads the raw correspondence with enough context to do intelligent enrichment across hundreds of threads spanning months and years. And by enrichment I don't mean summarization. I mean it actually reconstructed the narrative of the project. It traced how we almost hired the wrong well driller. We originally hired one company, paid a deposit, and were ready to go. Then the architect heard from someone in his network that they weren't reliable. We pivoted to a different driller who came recommended through a chain of referrals the agent traced back to its origin. The new company came out, drilled 140 feet, hit an artesian well with water pressure above ground level, and finished in two weeks. The original deposit got refunded. The agent reconstructed that entire sequence from first contact to final invoice, across dozens of emails and multiple contractors, and presented it as one coherent story. It reconstructed the full permit saga. Four separate permits with the county, each with its own cycle of applications, reviews, correction letters, resubmissions, and approvals. Years of back and forth. The agent built the complete timeline for each permit and linked every document and payment to the right stage. It tracked the money flow end to end. Not just "we paid the architect X." It found every invoice, matched them to the work described in the email threads, categorized the spending, and produced a financial history of the entire project broken down by architect, engineer, surveyor, contractor, county fees, and everything else. It mapped out relationships between people that I had half-forgotten. Which engineer referred which surveyor. Which contractor's crew member later became a separate vendor. Which county reviewer handled which permit. All of it was in the email, I just never had the time to stitch it together myself. One of the most fun things it did was writing honest personality profiles for each contact based purely on their communication style. How responsive they are. How they handle pushback. Whether they tend to over-promise. Whether they're the kind of person who answers at 11pm or takes five days to reply. Reading an AI's unfiltered take on the people you've been doing business with for years, based on nothing but their emails, is surprisingly entertaining and uncomfortably accurate. The thing that surprised me most is how much structure was already hiding in the email. I didn't add information. The agent found what was already there. The timeline, the document graph, the money flows, the cast of characters. It was all latent in the correspondence. Five years of decisions and negotiations and payments, all recorded in email, just never connected. I think a lot of people are sitting on projects like this without realizing it. Your renovation emails are a project database waiting to be assembled. Your legal correspondence is a case file. Your immigration threads are an application history. The raw material has been accumulating for months or years. It's rich, timestamped, and complete. It's just in a format designed for messaging, not for understanding. Point an agent at it. Let it read everything. Let it do the transform. The whole story was in my inbox the entire time. I just needed something that could read all of it at once.

@dvassallo

Gumroad’s test suite of 16,000 tests has been flaky for years. This slowed down shipping tremendously. This week, Gianfranco used @karpathy’s autoresearch and @steipete’s OpenClaw to stabilize our test suite overnight. And his code is open source, so you can (have your agent) do it too. (And our code is open source too so you can see every single fix on GitHub.)

@shl

OpenClaw and Pi together are in the top 10 of all time software breakthroughs.

@pmarca

openclaw is a great movement, but dead product. what's next?

@yashhsm

my OpenClaw woke me up at 3:47 AM with one message: "found 6 markets resolving in next 90 minutes while US is asleep, need approval for $12K deployment" i typed "yes" and went back to sleep woke up to +$43,800 been running an agent that hunts timezone arbitrage for 9 days never thought it would actually wake me up the setup: gave OpenClaw access to global news feeds in different timezones: > Japanese government RSS > European parliament calendars > Australian financial wires > Middle East flight trackers > Asian central bank announcements told it: "find markets that will resolve during US sleep hours (2 AM - 6 AM EST), alert me if edge exceeds 30%" what happened at 3:47 AM: agent detected 6 markets resolving between 4 AM - 6 AM across different timezones all had same pattern: > crowd priced them like normal markets > but resolution would happen while americans sleep > official sources in those countries already showing signals the alert: > "Japan rate decision - 68% YES per BOJ leak, polymarket at 23¢" > "EU emergency vote - live stream shows YES winning, polymarket at 31¢" > "South Korea policy - government RSS confirmed, polymarket at 19¢" > "Australia trade deal - minister quoted 2 hours ago, polymarket at 27¢" > "UAE production cut - OPEC meeting notes public, polymarket at 15¢" > "Singapore regulation - parliament session live, polymarket at 22¢" - total edge detected: $43K potential - window: 90 minutes before -capital needed: $12,000 my phone buzzed i opened telegram half asleep saw "approve or miss" typed "yes" closed my eyes 7:30 AM - woke up to notifications: all 6 markets resolved during asian/european morning > US traders woke up to already-closed markets > my positions entered at 15¢-31¢ > all resolved at 95¢-100¢ profit breakdown: - Japan: $8,200 - EU: $6,900 - Korea: $11,400 - Australia: $7,100 - UAE: $5,800 - Singapore: $4,400 - total: +$43,800 checked the logs: agent had been watching these markets for 8-14 hours tracking official sources in real-time waiting for US to go to sleep then finding the moment when: > outcome is basically confirmed overseas > but US crowd hasn't updated prices > resolution is imminent the edge is stupid simple: polymarket is 70% american traders world events don't care about EST timezone while you sleep, markets resolve if you want to copy wallets running this 24/7:

@zerqfer

My bet is open source will win this space, and OpenClaw is already that.

@dvassallo

I've ran OpenClaw for over a month now I've had it in a group chat with 26 friends who all played with it, tried to hack it, made a pretty cool game with it which it kept self improving called

@levelsio

This post is spot on.From my experience, the biggest impact of OpenClaw is marketing automation. And it’s been genuinely effective for me.I’m slowly replacing the students I used to hire for content, automating more of the workflow, and scaling my apps toward $50k–$100k/month… https://t.co/Wu3P2e7Y5S pic.twitter.com/4LDHlc7fe8

@alexcooldev

OpenClaw might be the gateway drug for normies to finally start using Claude Code like the rest of us https://t.co/4h5V3vIkSf

@levelsio

Lots of people worrying about OpenClaw doing disasters. Well, today it saved me from one.A few hours ago I wiped every repo from my Mac 🫠Changed the root directory in @conductor_build. It warns you it'll delete everything in the previous folder, but I had accidentally set it… pic.twitter.com/AeHe5bn37I

@linuz90

i killed my openclaw. rip 🪦 pic.twitter.com/ohZ4t73Zu8

@thekitze

Bought a new Mac mini to properly tinker with claws over the weekend. The apple store person told me they are selling like hotcakes and everyone is confused :)I'm definitely a bit sus'd to run OpenClaw specifically - giving my private data/keys to 400K lines of vibe coded…

@karpathy

Started working on a vision document for @openclaw and will close PRs that don't quite fit. https://t.co/yFn3E4u89V pic.twitter.com/6letqAdGV1

@steipete

This is a running journal of getting real work done with @OpenClaw.

@hnshah

I’m liking these OpenClaw patterns from @renatonitta. Using GitHub for the persistence layer is a nice idea. Making the bot prepare and maintain a “recovery kit” to rebuild itself is a clever backup strategy too. https://t.co/wQ4uRzjGmH

@dvassallo

I'm joining @OpenAI to bring agents to everyone. @OpenClaw is becoming a foundation: open, independent, and just getting started.🦞https://t.co/XOc7X4jOxq

@steipete

This guy made a great YouTube video about setting up OpenClaw securely. He goes through Tailscale, setting up a firewall, etc.https://t.co/LlNTvLPEJa pic.twitter.com/jXLw6oEKf1

@RabehBoudiaAI

before i didn’t know why i would ever use OpenClawnow i do. https://t.co/52zKjsNl3Q

@jonathanzliu

Interesting way of setting openclaw. Instead of giving it access to all your digital accounts, you make separate accounts for everything just like you would do with a real assistant. https://t.co/ZlTDszE61Q

@dvassallo

writing is a skill. X posting is a skill.built a Codex/Claude Code/OpenClaw skill that uses the new X API to take your draft and return research + advice tailored to your account and today’s X feed.It pulls:> @matt_gray_'s writing guide> trending posts on your topic> your… https://t.co/DUPdkRicFR pic.twitter.com/Z0AqllLMx1

@ashebytes

On the flip side: What's something @openclaw has done that was harmful / really annoying? Any horror stories? https://t.co/Tmbn9AXBHf

@lennysan

I recorded a 41-min tutorial on how to use OpenClaw and Codex to ship products, designs and articles pic.twitter.com/0uSxCJilGt

@MengTo

https://t.co/WfkOrIMztu

@dabit3

$1m/yr business (easy)👇Charge $100k to get a company setup with an automated agent team using @openclaw + https://t.co/yQDmFSiDVKI would do it but I have a startup to run lol

@ryancarson

https://t.co/J2ZLYCGXSA

@ryancarson

https://t.co/JE7KxU3zv3

@ElevenLabsDevs

Great idea, deploy OpenClaw for non-techieshttps://t.co/bfa4VT1ZdOI told @DanielLockyer and @rameerez we should build it but too busy visiting Brazilian buffets 😃Great work by @saviomartin7 who deserves a follow for shipping this fast!! https://t.co/zE9YEp7sgh

@levelsio