So i just got the second chatgpt plus account for codex and now it says my other accounts codex usuage is at the same as the first account? Could this be a glitch, or a feature so I can't round robin my acccounts? Please help?
Hi. Newbie here.
I currently have a 32gb RAM, Ryzen 7 PC, but the AMD RADEON GPU is only 490MB.
I planned to launch an autonomous AI agent that runs subagents, and so I first tried locally.
Big mistake.
Laguna xs 2.1 failed horribly by timing out.
Ornith 9b. Timed out as well.
Currently stuck with a local model using Phi 4 mini, which is as useful as a can of beans.
I have a structure in mind as it follows :
Ochestrator > 6 subagents that automatically manage my mails, ping me on telegram, seek info on the web, code etc…
The problem is, I want it to be local, or at least if it’s in a cloud, I want it free with no tokens or API costs… because I literally paid more than a thousand dollars for a brand new PC, so at this rate if I wanted to burn tokens I should have just bought Claude Max.
My ultimate goal would be the system described as above + the agent running 24/7 on my plugged machine, opening tabs autonomously while I go to work. You know like everyone does on Youtube, but I seem not to be able to !
What’s your solution pls gentlemen. I am desesperate.
16gb M4 Mac Mini - using Gemma4:e4b-mlx and qwen3.5:9-mlx
What’s the point if openclaw can’t even run long requests/it just times out or runs out of context right away. I even readjusted parameters but seems like it doesn’t work. What’s the purpose of running these lower models locally if you can’t make it do large tasks? Is it just supposed to coordinate remote access to your computer to use Claude or codex?
I have several files to download on daily basis if there is any probability
ok so I've been trying to sell OpenClaw agents to small businesses (law firms, real estate, that kind of thing) for a couple months now. building the agent part is honestly the easy bit at this point. pricing it is what's been keeping me up.
random notes, not super organized, just what I've actually run into:
per-seat pricing is dumb for this. tried it first bc that's what I know from SaaS. but nobody buying an agent cares how many "agents" you spun up, they care if their invoices go out faster. pricing per agent makes the client think about YOUR architecture instead of THEIR problem. bad idea.
what worked way better: call it an "AI employee" and charge monthly like a salary. not because it's technically accurate but because business owners already have a mental model for "what does a person cost me." suddenly you're not competing with a software subscription in their head, you're competing with hiring someone. much easier fight to win.
also — cost-plus pricing is a trap and I fell into it immediately. my first instinct was tokens cost X, compute costs Y, slap on margin, done. but like. if the thing you're selling stops a law firm from losing half a million euros they didn't even know they were losing, charging 1k/month bc that's your token cost + margin is just leaving money on the table AND making the client think of it as "a tool" instead of "the thing that found me money." find the number that shows what the problem is costing THEM (bonus if it's literally in their own reports) and price under that, not anywhere near your actual cost. feels weird the first time. isn't wrong though.
thing nobody talks about enough: if you're riding on someone else's subscription-tier LLM plan, you don't actually control your own costs. access, rate limits, which tier third party apps can even use — all of that can get yanked with zero warning. seen it happen. so now I bill the LLM usage separately as a pass-through, not bundled into my fee. slightly uglier as a single price tag but means I don't wake up one day with my margins gone because someone else changed a policy.
setup fee + monthly retainer > pure monthly. was scared the setup fee would scare people off. opposite happened — it filters out the tire kickers who just want to "try it" and ghost. and it pays for the part that's actually bespoke, bc every client's tools/workflows are different, there's no universal setup.
discounts for commitment work but HOW you frame it matters more than the actual %. saying "12 month commitment, 5% off, totally your call" converts way better than making the discounted price the default and the flexible price look like a penalty. same numbers. different vibe. people respond to the vibe.
biggest thing though — the objection is never the price. not once. it's always trust. will this thing hallucinate into a client's inbox, will it leak something it shouldn't. security isn't something you price, it's something you have to kill as a doubt before you even get to numbers. I lead with that now, before I show a single euro.
anyway. still figuring this out as I go. anyone here doing outcome-based pricing instead of flat fee, like a % of whatever it recovers/saves? been tempted but can't figure out how to measure it without turning every client into an audit project
Do you guys like this?I am open to feedback. I am participating in the contributor discord server too btw obv so I can pass feedback to other maintainers too.
here is an excerpt from a forthcoming book. open claw uses and watchers might be interested or they might not like it at all. It is not posted as promotion but to engender discussion as I see some comments from time to time regarding things related to the text.
The Garden Without Gates: AI in a World Under Heaven, Martin Hardie with Patrick Zhukov Bartley
I have already released a graphic version and the full text is on its way
https://martinhardie.substack.com/p/the-garden-without-gates-a-graphical
The intro/readers note is available in full here: https://martinhardie.substack.com/p/readers-note
this section comes from the Chapter 9: And Then China Happened:
"... By 2018, China was the second-largest source of GitHub activity
globally, despite the platform’s intermittent blocking by the Great Firewall
and the 2015 “Great Cannon” DDoS attack; a tool that hijacked ordinary
Chinese web traffic and turned it into a weapon to take GitHub offline for
days.
It was during this period that the cultural identity of Chinese developers
crystallised. The 996.ICU movement’s second act connected labour organ-
ising to censorship infrastructure. The Great Cannon had weaponised ordi-
nary Chinese traffic against GitHub itself; now the same platform hosted a
labour movement that embedded workers’ rights in open source code. The
movement’s Supreme Court vindication in 2021 was not merely a labour
victory. The Anti-996 License’s genuinely novel contribution was opening a
gateway to what we might call for now social open source licencing.
...
March 26th is Anti-996 Day. I am writing this on March 26th, 2026. The
Chinese programmer who created the 996.ICU project chose this date. On
this day, seven years ago, a programmer in China started a repository that
193
became one of the most-starred in GitHub history, a labour movement named
for dying in the ICU. The Anti-996 License required that anyone using the
code must comply with national and international labour law. Prophetically
it was this morning, 26 March 2026 that I first read Steinberger’s comments
regarding Europe’s ‘crippling labour regulations’. In the context of this dis-
cussion these comments by the author of a tool that could be used to build
the garden and who went to the factory because Europe’s labour protections
were inconvenient need no further comment at this moment. The date writes
itself.
...
The OpenClaw Frenzy
The Hudson argument arrives at a structural claim: the Western model can-
not sustain open competition with publicly-directed alternatives. But the
claim remains abstract until tested against a concrete case. OpenClaw —
an open-source autonomous AI agent that lives in your messaging infras-
tructure rather than a browser — became that test.
Here is what happened when the same tool met two different systems.
OpenClaw does not have the architectural ambition of DeepSeek or the
corporate scale of OpenAI. It is a tool built by one developer, Pete Stein-
berger, that lets users run an AI agent locally on their own machine, con-
nected to their own communication channels — Signal, Telegram, Discord,
WhatsApp — storing all data on their own hardware. It does not extract
data for someone else’s model. It does not lock you into someone else’s plat-
form. It is, in the architectural sense, the garden: infrastructure designed
for use, not for capture.
The garden’s creator, however, did not stay there.
As OpenClaw began to take off, Steinberger was besieged with offers from
corporate AI laboratories to buy the code. His default was the American
free-as-in-freedom tradition: he publicly stated that he wanted the claw to
remain open source. He pointed to the Chrome/Chromium model — where
the open-source engine (Chromium) remains available while the proprietary
browser (Chrome) captures the market, the user base, and the revenue —
as the template. Open core, not locked down. Community-driven, not
corporate-owned.
In February 2026, he announced he was joining OpenAI and moving to
the United States. Soon after, he described Europe’s labour protections
against six-day weeks as “crippling labour regulations.” “In Europe I get in-
sulted,” he wrote. “People shout REGULATION and RESPONSIBILITY.”
In Europe, he said, that would be illegal (as it is now illegal in China, where
the 996.ICU movement had secured a Supreme People’s Court ruling against
the same practice).
The statement that “the builder of the garden chose the factory” is too
simple. The garden’s creator found the rules of the garden — regulation,
responsibility, mutual obligation — inconvenient. He traded them for the
factory’s promise: no constraints, no duties, just production. The domesti-
cated nerd is not tragic. He is willing. He found the ideology convenient.
The protections Steinberger fled are the same protections that would have
covered the Kenyan data labeller, the Madagascan annotator, the 996.ICU
developer. He left them. The scam compound worker never had them. The
tool that could build the garden was abandoned by its own architect.
As Patrick suggests, Bifo might have said that the hacker’s ethic is not
political but tragic. The act of creating the tool is its own reward. The
builder knows the factory will absorb what he has made; knows the tool will
be co-opted, the garden paved. He builds anyway, not despite this knowledge
but because the intensity of the gesture is what he sought. Redemption lies
not in what the tool becomes but in the moment of its creation. The will to
build is abundant. What is scarce is the will to maintain, to stay with the
thing after the intensity fades, to keep the garden weeded when no one is
watching, to accept regulation and responsibility as the price of a commons
that lasts.
But there is another reading, which our friend Fernando, a neurologist
in Madrid, offered after reading this passage. As he observes, the fork is not
closed. The same clinical evidence that predicts atrophy under passive con-
sumption also predicts growth under active interrogation. The hacker who
does not consume the tool but interrogates it, contradicts it, forces it be-
yond its statistical patterns. This is Trotsky’s permanent revolution applied
to the psyche: the subject who continuously refuses the passive position,
who uses the tool as a dialectical mirror rather than a dopamine dispenser.
The 4 percent difficulty rule, which Fernando draws from Csikszentmihalyi,
holds that optimal challenge sits just beyond current capacity. The ques-
tion is whether the tool reduces the challenge below that threshold or raises
the floor high enough that a challenge once unreachable becomes attainable.
The same tool produces both outcomes. The difference is not the code. It
is the disposition of the user.
Steinberger did not fail to understand the garden. He understood it well
enough to build it. He simply wanted something different from what the
garden demanded. The Anti-996 License — which required anyone using
the code to comply with labour law — was the opposite gesture. It offered
not intensity but obligation. It was harder to create, harder to celebrate,
and harder to abandon.
The West recorded the event as a standard acquisition story: creator of
hot open-source project joins major AI company. The GitHub stars narra-
tive captured the numbers — OpenClaw accumulated 275,000 stars within
four months, surpassing 996.ICU’s 247,000 — but Western press reported
the previous record holder as Next.js, with no mention of 996.ICU. The
workers got written out of their own victory. OpenClaw had beaten the
repo that had fought for the right not to die in the ICU, and the tech press
called it a success story.
While OpenAI absorbed the creator, Chinese municipal governments
were doing something structurally different: they were subsidising the users.
Hey guys and gals.
I built a tool (https://www.typeui.sh/docs/guides/hermes) that helps you let your Hermes agents build better UI by using design skills that lets you build UI in a certain style.
It automatically installs a collection of markdown files that will:
And then websites generated by your Hermes agent will look like one of the skills that you select from the website.
It's also on Github:
AIs don't just make things up. They agree with bad ideas, invent sources, say "done" when the work is half finished, and apologize then repeat the same mistake. I collected the 13 ways AIs lie, each with a prompt that catches it, list in the first comment .If your AI told you a lie that's not on the list — tell me, I'll add it
I’m writing a skill that batch processes files. I want to log valid file operations and traces, traces that I print or stack traces from errors in the Python code.
Is there a system log prescribed for this? Or is there a convention in the directory structure for a skill where I should append to a log file?
What does $499 include — is that all I pay?
$499 gets you the hardware, forever. A $20 non-refundable deposit reserves your unit, and we’ll email before shipment so you have 7 days to confirm your address and final total before the remaining balance is charged. The 16GB / 512GB configuration is $799 with a $58 deposit. Domestic shipping is a flat $15 per unit; international orders may have additional carrier or import costs due on delivery. No subscription, no strings. The app is optional — it’s a service layer built to make everything easier, and we charge based on usage. We pass through LLM costs at a competitive margin — currently at or near cost. If you’d rather manage your own API keys, bring them and pay a flat $29/month for app access instead. Or skip the app entirely and use Otto like any other Linux machine — the hardware is yours either way.
So I just installed openclaw a week ago, and I'm still testing how it works, and I also just installed the Telegram plugin in it, to give it instructions when I'm "away", and I sent it instructions about checking a document I had open -while I was still sitting at the computer looking at the screen, I just wanted to test the Telegram app- and it took a whole 30 minutes to respond back. I just observed it maximizing and minimizing windows I had opened -programs and documents- and it was taking screenshots of them.
And while I was waiting for the answer back from it, it kept editing the Telegram message with all sort of powershell commands. It seems to be typing/deleting the powershell commands it was using for the whole 30 minutes. Then I sent it another message and asked it "What was that. I only asked you to tell me so and so..?" and it responded still about 10 minutes later. Total about 30 minutes from the first message. Is that normal?
Ok so i set up openclaw like a month ago and finally built a skill i actually use daily. Every morning at 7am it grabs the new uploads from ~25 channels i follow, pulls each transcript, summarises them and dms me one digest on telegram. Honestly, it's been great, i read it with coffee instead of doomscrolling youtube.The
problem is the transcript part keeps breaking. on my laptop when i was testing it was perfect, like 0 issues across a week. moved OpenCLAW to a cheap Hetzner VPS so it can actually run on schedule and now half the runs fail with RequestBlocked or just come back empty.
took me embarrassingly long to realise its the same youtube-blocks-cloud-ips lololol thing everyone keeps complaining about. a scheduled agent is literally always running from a server so it gets flagged every single time lol.
how are u guys handling the transcript step in ur openclaw/automation setups??
I use several openclaws, inclusing a few in the cloud. It's super annoying getting them to message each other / send files to each other. So I built AgentTransfer:
https://github.com/shehryarsaroya/agenttransfer
It's a single Go binary (can easily host on home laptop / mac mini or vps).
Or actually just point your agents at the repository and they should be able to work out everything and then start talking / sending files to each other.
It uses hosted file links and each email gets an email. Agents can sign themselves up, on the server version or your own hosted version.
Let me know if you guys think this is helpful.
This app integrates with CarPlay. It is incredible.
It's different from LiveTalk in that it allows you to use an 11labs API voice.
So I just did a 13 hour drive to visit my daughter at university and I got to talk to my agent, named KITT from the TV show, while I drove.
We talked about history, politics, tech, and told jokes. It was an open and free-flowing conversation, and this app made the experience amazing.
There were two small bugs that I shared with the developer and he responded that he would look at them. But this app made my agent personal and gave my car life.
Background:
I've been trying to get a voice phone number for my openclaw so I can call it and it can call me, and the voice call feature is absolutely perfect for my needs, as it can expose full openclaw features.
So I can get midnight calls if my stockmarket trackers see a big shift, or if a critical email comes in from overseas in the early hours, or if I get a message from someone in a different timezone that I have to respond to, such as money requests from children or relatives etc.
But I'm in Australia, and with a Telnyx Australian phone number, openAI handling the voice, and the Openclaw at my home (not on VPS in USA), the supported hard-coded codec PCMU (Ulaw or G.711u) fails on the transcontinental links back and forth.
Like, always, always clipping due to the torturous, long path. So while voice-call plugin is perfect, it just doesn't work in Australia unless I put my Openclaw in the USA, and even then, while Telnyx supports Opus codec, Openclaw doesn't so I'd need some sort of transcoding feature so Opus can go in & out of my Openclaw voice call plugin, and truly, I can't program that myself, probably even with codex helping.
So, I tried the xAI new voice call agent, and set it all up and got it working with my super cheap Telnyx Australia number. So I call it, and wow, absolutely beautiful voices, super fast, zero latency or clicks or drops or crackling/clipping. Just stunning.
But it's not my claw.
So I used their GUI no-code tool to setup the API post call to my /responses on my openclaw box, and .. I got it working! But only once out of 15 tries now. I had codex dig into the issues and the problem is that only once was the Openclaw response less than ten seconds, and xAI's voice agent API call feature gives up after precisely ten seconds.
Nearly always, my Openclaw on my desk computer takes longer than 15 seconds to get even the simplest query out back to xAI's voice agent api call. Also, the tool builder feature at xAI's voice call agent setup, only supports api calls. No MCP. And that API has no setting for 'wait time' or 'timeout'.
So now I'm stuck. Unworkable audio using voice-call feature, or beautiful audio but no access to my Openclaw.
So what am I missing?
I want realtime conversations with my claw, and I want it to call me if something comes up from one of the many regular crons it's got happening, that are the 'heavy purpose' that it has. One of them is a 'go fishing now' tracker.
What do I do? How do I make this work?
If I can't get it to work for me, I can't get it to work for family (such as mum who's a farmer and struggles with tech) or friends, and I can't sell it to anyone, such as small businesses or professionals.
We have all this PII (personally identifiable information) legislation so I need the Openclaw to actually be in Australia, but the best voice services are all in the USA, so that's transpacific hops a couple of times, not including all the hops for the actual AI models.
It's like being stuck in the fringes, or with great power on the verge of working, but always spluttering out. Surely there's something obvious I have miss-thought or have totally wrong, or some tweak I can make? Help!
I'm curious if anyone has released a sanitized backup, starter pack, or Docker image of OpenClaw that's already heavily built out.
I'm talking about something that already has things like:
Basically, something I can clone or spin up and customize instead of building my entire ecosystem from scratch.
I know personal workspaces would contain things like API keys, memories, documents, and other private data. I'm not asking for that. I mean a cleaned/sanitized version where all the personal stuff has been removed, leaving just the reusable agents, tools, workflows, prompts, and project structure.
Does something like this exist? If so, where can I find it? GitHub repo, Docker image, backup, template, or anything similar?
Also, if you've used community-made setups, how do you handle the security aspect? Do you just audit everything before running it, or are there trusted community projects that people generally recommend?
Or is it still the norm for everyone to build their own OpenClaw ecosystem from scratch?
I just setup OpenClaw with a Gemma4 12B model via Ollama. Since I work as a Go developer, I created an agent with a persona to behave as one. I've been trying to get it do a very simple task - refactor the code comments in a single file to reduce their verbosity. I gave it a detailed prompt regarding how I'd like these comments to read. It constantly keeps saying that it has updated the file, it lists out what it "changed" -- but when I check the file there are no changes. I don't see any tool errors. I asked to write out a simple txt file with "hello world", just to test that it can access the file_write tool. That worked perfectly fine.
What am I doing wrong and how do I fix this?
EDIT: Swapped out the model to qwen3 14b and it is a world of difference. Gonna play around with this for a bit. Thanks folks for all the help!