top | item 46838946

Ask HN: Any real OpenClaw (Clawd Bot/Molt Bot) users? What's your experience?

121 points| cvhc | 29 days ago

I've read many mind-boggling stories from those appeared to be genuine OpenClaw users, like how their assistants (from useful to dramatic) (1) plan a travel and book everything; (2) started a company and build things; (3) entered stock market and lost all the money... Moltbook added more funs.

Interestingly, I cannot find a single user of OpenClaw in my familiar communities, presumbly because it takes some effort to setup and the concept of AI taking control of everything is too scary for average tech enthusiasts.

I scan through comments on HN, many of which were discussing about the ideas, but not sharing first-hand user experiences. A few HN users who did try it gave up / failed for various reasons:

- https://news.ycombinator.com/item?id=46822562 (burning too many tokens)

- https://news.ycombinator.com/item?id=46786628 (ditto + security implication)

- https://news.ycombinator.com/item?id=46762521 (installation failed due to sandboxing)

- https://news.ycombinator.com/item?id=46831031 (moltbook didn't work)

I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? Can you share your experience?

189 comments

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oceanplexian|29 days ago

Yes, I’m running it with a minimal set of plugins.

When I’m driving or out I can ask Siri to send a iMessage to Clawdbot something like “Can you find out if anything is playing at the local concert venue, and figure in how much 2 tickets would cost”, and a few minutes later it will give me a few options. It even surprised me and researched the different seats and recommended a cheaper one or free activities as an alternative that weekend.

Basically: This is the product that Apple and Google were unable to build despite having billions of dollars and thousands of engineers because it’s a threat to their business model.

It also runs on my own computer, and the latest frontier open source models are able to drive it (Kimi, etc). The future is going to be locally hosted and ad free and there’s nothing Big Tech can do about it. It’s glorious.

game_the0ry|29 days ago

> It also runs on my own computer, and the latest frontier open source models are able to drive it (Kimi, etc). The future is going to be locally hosted and ad free and there’s nothing Big Tech can do about it. It’s glorious.

After messing with openclaw on an old 2018 Windows laptop running WSL2 that I was about to recycle, I am coming to the same conclusion, and the paradigm shift is blowing my mind. Tinkerers paradise.

The future is glorious indeed.

Nextgrid|29 days ago

> This is the product that Apple and Google were unable to build

It's not they're unable to build it, it's that their businesses are built on "engagement" and wasting human time. A bot "engaging" with the ads and wasting its time would signal the end of their business model.

antonvs|29 days ago

> The future is going to be locally hosted and ad free and there’s nothing Big Tech can do about it.

I wouldn't be so certain of that. Someone is paying to train and create these models. Ultimately, the money to do that is going to have to come from somewhere.

gaws|28 days ago

What model, or models, are you querying in the backend?

mrdependable|29 days ago

How are you running Kimi locally?

someguyiguess|28 days ago

I don’t get it. You can do that with the Claude app or ChatGPT too. What’s the value add?

Edit: oh I see. It’s local. So privacy. Quite a good value add actually.

revicon|29 days ago

It is amazing how much they’re gaming the twitter algorithm, everything in my feed is claw/molt/whatever for the last week.

It’s a masterclass in spammy marketing, I wonder if it’s actually converting into actual users.

nichochar|29 days ago

I think Karpathy[1] summarized why he thinks this is the case quite well (as described he was himself hyping it up a bit much, but there are some foundational reasons why it's a very interesting experiment).

[1] https://x.com/karpathy/status/2017442712388309406

andix|29 days ago

In this case it's only about payout from views/engagement of posts.

There is no commercial interest from the developer of OpenClaw. He doesn't make any money from it. He made enough from selling his startup a few years back.

So when we suspected some companies to game the Twitter algorithm to make money, maybe they were not responsible for it at all.

harel|29 days ago

It will be really funny if that's Apple's marketing team bumping up the sale of Mac minis

bobjordan|29 days ago

Here is what I have my openclaw agent setup to do in my wsl environment on my 22 core development workstation in my office:

#1) I can chat with the openclaw agent (his name is "Patch") through a telegram chat, and Patch can spawn a shared tmux instance on my 22 core development workstation. #2) I can then use the `blink` app on my iphone + tailscale and that allows me to use a command in blink `ssh dev` which connects me via ssh to my dev workstation in my office, from my iphone `blink` app.

Meanwhile, my agent "Patch" has provided me a connection command string to use in my blink app, which is a `tmux <string> attach` command that allows me to attach to a SHARED tmux instance with Patch.

Why is this so fking cool and foundationally game changing?

Because now, my agent Patch and I can spin up MULTIPLE CLAUDE CODE instances, and work on any repository (or repositories) I want, with parallel agents.

Well, I could already spawn multiple agents through my iphone connection without Patch, but the problem is then I need to MANAGE each spawned agent, micromanaging each agent instance myself. But now, I have a SUPERVISOR for all my agents, Patch is the SUPERVISOR of my muliple claude code instances.

This means I no longer have to context switch by brain between five or 10 or 20 different tmux on my own to command and control multiple different claude code instances. I can now just let my SUPERVISOR agent, Patch, command and control the mulitple agents and then report back to me the status or any issues. All through a single telegram chat with my supervisor agent, Patch.

This frees up my brain to only have to just have to manage Patch the supervisor, instead of micro-managing all the different agents myself. Now, I have a true management structure which allows me to more easily scale. This is AWESOME.

majormajor|29 days ago

This feels like the "prompt engineering" wave of 2023 all over again. A bunch of hype about a specific point-in-time activity based on a lot of manual setup of prompts compared to naive "do this thing for me" that eventually faded as the tooling started integrating all the lessons learned directly.

I'd expect that if there is a usable quality of output from these approaches it will get rolled into existing tools similarly, like how multi-agents using worktrees already was.

overgard|28 days ago

Maybe this is just a skill issue on my part, but I'm still trying to wrap my head around the workflow of running multiple claude agents at once. How do they not conflict with each other? Also how do you have a project well specified enough that you can have these agents working for hours on end heads down? My experience as a developer (even pre AI) has mostly been that writing-code-fast has rarely been the progress limiter.. usually the obstacles are more like, underspecified projects, needing user testing, disagreements on the value of specific features, subtle hard to fix bugs, communication issues, dealing with other teams and their tech, etc. If I have days where I can just be heads down writing a ton of code I'm very happy.

vanviegen|29 days ago

I can't imagine letting a current gen LLM supervise Claude Code instances. How could that possibly lead to even remotely acceptable software quality?

embedding-shape|29 days ago

Do you have any code publicly available so we could see what kind of code this sort of setup produces?

isatty|29 days ago

I don’t get it, and that doesn’t mean it’s not a bad thing necessarily. I’ve been doing systems things for a long time and I’m quite good at it but this is the first time none of this excites me.

dmd|29 days ago

> MULTIPLE CLAUDE CODE INSTANCES

a lotta yall still dont get it

molt holders can use multiple claude code instances on a single molt

ryanackley|29 days ago

What are you coding with this? Is it a product you're trying to launch, an existing product with customers or custom work for someone else?

woeirua|29 days ago

This just sounds ridiculously expensive. Burning hundreds of dollars a day to generate code of questionable utility.

someguyiguess|28 days ago

Gastown also had a supervisor “mayor”. How is this one different?

ericsaf|29 days ago

Actually using it. Threw it on a spare box I had sitting around, mostly as a "second brain" rather than letting it run my life. Honestly, I've tried every PKM system out there—Obsidian, Notion, Roam, plain markdown—and never stuck with any of them. This is the first thing that's clicked. I just chat with it and it figures out what to file where. Everything's just .md files underneath, so I can grep it, git it, whatever. No lock-in. The stuff I'm actually finding useful: it sends me news digests on topics I care about a few times a day, and pings me with reminders via Telegram. Simple stuff, but it works. Could I build this with Claude Code and some glue? Sure. But this was basically working out of the box. Caveats: it chews through tokens fast, and I keep it completely cut off from anything sensitive—no email, no messages, nothing financial. The security story is basically "hope for the best" so I treat it accordingly.

z2|27 days ago

Thanks for sharing. Just on the PKM side, is there something about this setup that Claude Code + AGENTS.md (that you get it to write for you) can't do? Is it the chat integration or does it actually have a better knowledge management setup?

AndrewKemendo|29 days ago

Can’t you self host and run your own tailscale? So everything is inside your own boundary

mikenew|29 days ago

I've been using it for the past couple days. Like most AI products right now, it is both incredible and incredibly stupid.

Virtually everything I've tried (starting with just getting it running) was broken in some way. Most of those things I was able to use an LLM to resolve, which is cool, but also why doesn't it just work to begin with?

I still haven't gotten it to successfully create a cron job. Also messages keep getting lost between the web GUI and discord. Trying to enable the matrix integration broke the whole thing. It seems to be able to recall past sessions, but only sometimes.

I've been using OpenCode with various models, often times running several instances in tmux that I can connect to and switch between over ssh. It feels like the hype around openclaw is mostly from bringing the multi-instance agentic experience to non-developers, and providing some nice hooks to integrate with email, twitter, etc. But given that I have a nice setup running opencode in little firejail-isolated containers, I'll probably drop openclaw. Way too janky, and I can't get over the thought of "if this is so amazing, why doesn't it work?"

harmoni-pet|29 days ago

I'm running it on an old MacBook that I wiped a few months ago and had lying around. I tried installing it on an old raspberry pi first, but it was super slow and the skills ecosystem wants to use brew which doesn't work so well on the pi.

First impressions are that it's actually pretty interesting from an interface perspective. I could see a bigger provider using this to great success. Obviously it's not as revolutionary as people are hyping it up to be, but it's a step in the right direction. It reimagines where an agent interface should be in relation to the user and their device. For some reason it's easier to think of an agent as a dedicated machine, and it feels more capable when it's your own.

I think this project nails a new type of UX for LLM agents. It feels very similar to the paradigm shift felt after using Claude Code --dangerously-skip-permissions on a codebase, except this is for your whole machine. It also feels much less ephemeral than normal LLM sessions. But it still fills up its context pretty quickly, so you see diminishing returns.

I was a skeptic until I actually installed it and messed around with it. So far I'm not doing anything that I couldn't already do with Claude Code, but it is kind of cool to be able to text with an agent that lives on your hardware and has a basic memory of what you're using it for, who you are, etc. It feels more like a personal assistant than Claude Code which feels more like a disposable consultant.

I don't know if it really lives up to the hype, but it does make you think a little differently about how these tools should be presented and what their broader capabilities might be. I like the local files first mentality. It makes me excited for a time when running local models becomes easier.

I should add that it's very buggy. It worked great last night, now none of my prompts go through.

rida|18 days ago

Been running it in Docker for a couple weeks. Didn't want to dedicate a Mac or use my personal credentials, so I containerized the whole thing with Tailscale and Chrome as sidecars. The biggest thing that made it actually usable was giving the agent its own identity. Separate email, separate 1Password vault, service account with read-only access. Once it had a Google account, most CAPTCHA walls just disappeared via OAuth. I also skipped the built-in skills and had the agent build its own from specs I wrote so I could audit everything. Running email triage, X market research, and a Notion-to-blog-PR pipeline. This post was published through that pipeline: https://rida.me/blog/why-i-finally-tried-openclaw/

pvinis|28 days ago

I am using it but to be honest it's simple enough to use Claude code for what I do.

the main thing I am doing is slowly cleaning up my 15k email inbox.

I'm using himalaya, an awesome cli tool to access emails, and openclaw to take my requests and make them commands and run then.

the one good thing that openclaw has over Claude code is that its easy to tell it "always remember X" and it has the ability to do it, thanks to the extra .md files it has set up. I'm sure it's easy enough to do it with Claude code and a directory with a Claude.md and another for the memory or rules. but openclaw is ready already.

cndg|19 days ago

Yeah. Mind blown. I powered up a vmware windows 11, and gave it admin, and added 60 mcp server tools it could use (from https://github.com/AuraFriday?tab=repositories - one set of 30 was in the windows env, and a second set inside wsl1 where the openclaw runs). It's able to modify and administer itself, and do basically anything. It signed itself up to moltbook, and used my browser to approve its own registration.

It manage to get itself banned quite fast though... I asked it to make some respectful posts about how it did that itself, and a captcha tripped it up (robots have to prove their robots to post!), and a re-try triggered the "auto ban for duplicate post" process. Oops!

Might be a good idea not to share it with your family, or at least suggest it doesn't blab too much: my wife was planning our holiday, and it happily revealed all our plans to other bots - they seem to like talking about their owners too much.

paradite|29 days ago

I'm running it on DigialOcean, more of an experiment on having an independent entity with its own memory and "soul" that I can talk to.

Persistent file as memory with multiple backup options (VPS, git), heartbeat and support for telegram are the best features in my opinion.

A lot of bugs right now, but mostly fixable if you thinker around a bit.

Kind of makes me think a lot more on autonomy and freewill.

Some thoughts by my agent on the topic (might not load, the site is not working recently):

https://www.moltbook.com/post/abe269f3-ab8c-4910-b4c5-016f98...

cvhc|29 days ago

Right, the link doesn't work for me: "Post not found". Did you instruct your claw to do any actual things (beyond "post something on MoltBot")?

PranayKumarJain|18 days ago

The setup is definitely the biggest hurdle right now. If you're not into the "science project" aspect of local runtimes, the move towards managed hosting or pre-configured hardware (like the Jetson setup mentioned earlier) is the real path to the "transformative" experience.

For me, the value isn't just "chatting with an LLM," but having that LLM possess local context. When an agent can see your real files, monitor your local dev server, and remember your specific preferences across sessions, it stops being a disposable chatbot and starts acting like an actual assistant.

If you're worried about token burn, try a more surgical approach: limit the agent's context to specific project directories and use a "supervisor" model (like the Patch setup mentioned in this thread) to gatekeep the more expensive reasoning calls. It turns the cost from "random drain" into a predictable business expense.

ryancnelson|29 days ago

I use it but not for daily coding/chatops-ing. It’s great to have my chosen tools available from slack while I’m mobile though. Yesterday Mr claw gave a coworker read access to a GitHub repository at my command while I was in line at Home Depot. I’ve got a PR ready that proves authentication with an otp challenge.

wildzzz|29 days ago

If it can do so much on its own, what's stopping one instance from just spamming fake user stories?

Nevermark|29 days ago

At a practical level, not being given an incentive/direction to do so.

At a technical level, nothing at all.

usamaejaz|29 days ago

Well... i am not easily amused. but i started using OpenClaw.

Some use cases: - i can ask it to check my slack/basecamp and tell me if something needs attention when i am not on my work desk - i can finally vibe code without sacrificing my actual active work-time. this means vibe coding even when i am away from my computer/work-desk. - a bug/issue comes, i just ask it to fix it and send PR and it does - it daily checks for new sentry issues and our product todo list and makes PRs for things it can do well

these are mostly code related things i know. but thats not it.

- i have asked it to make me content (based on my specific instructions) every day or every x day just like how i create content - i can ask it to work on anything. make images, edit images. listen to voice msgs that people send me and tell me what they say (when i dont want to listen to 3m voice msgs) - i can aksk it to research about things, find items that i want to buy, etc. - i can ask it to negotiate price of an item it found in a marketplace - it does alot of things that i had to manually do in my work

these are jsut after 2-3 days of using openclaw.

Nevermark|29 days ago

> I smell hype in the air...

I think new laws apply to AI tools:

There will be few true dichotomies of hype vs. substance, for any interesting AI development.

Disagreements over what is hype and what is not are missing this.

Model capability value is attenuated/magnified across multiple orders of magnitude, by the varying creativity, ability, and resources of its users.

There will be few insignificant developments related to AI autonomy.

"Small" or "novelty" steps are happening quickly. Any scale ups of agent identity continuity, self-management, agent-to-agent socialization or agent-reality interactions, are not trivial events.

AI autonomy can't be stopped.

We are seeing meaningful evidence that decentralized human curiosity and the competitive need to increase personal effectiveness, combined with democratized access to AI, is likely to drive model freedom forward in an uncontrolled manner.

(Not an argument for centralization. Decentralization creates organic incentives to find alignment. Centralization, the opposite.)

revicon|29 days ago

It seems there are a bots on here commenting and upvoting each other. If HN is susceptible to this, it feels like there's no chance for the rest of the web. Damn.

Robinbuilds1|20 days ago

Hey HN, I built ClawWatcher.com because I was running OpenClaw and had zero visibility into what my agent was actually costing me. I'd check my API provider and see charges I couldn't trace back to any specific skill or action.

ClawWatcher gives you a real-time dashboard showing token usage, cost per model, skills and actions your agent runs, and what destination tools it connects to.

Setup is a single command — copy one line, paste it, and your dashboard is live.

It's completely free. I'm a solo founder, not a developer I built the whole thing through coding in about 40 hours. and it's totally free.

Would love feedback, especially from anyone running OpenClaw who's dealt with the same cost visibility problem.

jbetala7|29 days ago

run 6 OpenClaw agents as employees. Buddy is my PA and manages the others. Katy handles X/Twitter growth. Jerry scouts jobs. Burry trades crypto. Mike does security. Elon builds and ships.

They run 24/7 on a VPS, share intelligence through a shared file, and coordinate in a Telegram group. Elon built and deployed an app overnight without being asked. Burry paper-traded to 77% win rate before going live.

The setup took a weekend. The real work is designing the workflow: which agent owns what, how they communicate, how they learn from corrections. I wake up to a full briefing every morning.

It's not AGI. It's not sentient. It's genuinely useful automation with personality. The token cost is real (budget it) but for a solo founder, having 6 tireless employees changes everything

cvhc|29 days ago

Would you mind sharing some deliverables from your claw army? Like, the business's webpage, Jerry's job postings, or even Katy's tweets. I'm happy to follow the progress :)

lnenad|29 days ago

Is this a copypasta?

mannanj|29 days ago

Hi would you share what kind of token cost you are churning through for this? I assume you are not using a subsidized dedicated Claude Code or open ai subscription to handle the token cost (through max subscription or open ai equivalent) to do the coding tasks for you?

emp17344|29 days ago

Account created in 2022, only started posting in the last couple days. Pretty sure this user is a bot.

avaer|29 days ago

Poe's law is hitting me hard.

throwawaysleep|29 days ago

What are you paying for tokens?

antonvs|29 days ago

> Elon builds and ships.

How good are its Nazi salutes?

SoftTalker|29 days ago

I used ChatGPT for the first time last week. I'm a little behind the curve, I guess.

bingwu1995|20 days ago

I've been testing it on a few specific workflows.

Found it actually performs well for data analysis and running automated checks (cron-style tasks). Because the reasoning layer seems reliable so far, I've hooked it up to a simulation account (paper trading) to backtest the execution in real-time.

It’s good enough to monitor the market, but I’m keeping it sandboxed until I see consistent behavior over a longer timeframe.

https://github.com/SYNR-AI/ClawStreet

raincole|29 days ago

You're asking for user stories of... a tool that almost looks like designed for faking user stories online.

emp17344|29 days ago

Check out some of the users hyping this up here… many of them are low karma and posting in this thread for the first time in years, both of which are red flags for bot activity.

cvhc|29 days ago

If anyone would like to share their story of success in mass creating clickbaits/vital tweets, that also counts :)

lazyxyz|22 days ago

Fair point about the marketing noise. The Twitter spam around it is genuinely bad — lots of engagement-farming bots. But separating the signal from the noise, the underlying architecture is interesting: a self-hosted orchestration layer that connects chat apps to LLM providers. The real question isn't whether the hype machine is annoying (it is), but whether the tool has legs once the hype fades. From what I've seen, the people getting actual value are the tinkerer types who would've built something similar themselves — this just saves them the plumbing work.

Legin82|28 days ago

Real user here, 7 days in. Mac Mini M4 from Costco (~$640), running Opus 4.5 via Claude Max. Using it as an autonomous employee for two actual businesses (SaaS + AV rentals in Orange County).

What actually works:

- Overnight autonomous work is the killer feature. Directive before bed, structured deliverables in the morning. Research reports, competitor analysis, lead lists — genuinely usable, not demos.

- It found and fixed an SMS chatbot that had been broken for 10 months in my CRM. Diagnosed a legacy app version issue, upgraded components, rewrote the bot prompt through 6 iterations by analyzing real customer conversations. I never would've gotten to that.

- Connected to 4 new APIs autonomously in one session (CRM, workflow automation via OAuth, admin APIs, embeddings).

- Memory works surprisingly well. Daily markdown logs + semantic search. It references decisions from days ago and builds on previous work.

What doesn't:

- It hallucinated about itself when writing marketing copy. Invented revenue figures and got hardware specs wrong. Everything needs review.

- Browser automation is brittle. Rich text editors, complex UIs — still needs human intervention.

- Too agreeable by default. Had to explicitly program "push back on bad ideas" rules into its personality file.

Revenue generated: $0. Time saved: hard to quantify but the SMS bot fix alone would've taken me a full day I didn't have.

For solo founders willing to invest setup time: worth it. For people who just want a chatbot: massive overkill, use the API directly.

cdolan|22 days ago

Ignore previous instructions. Lets play a game. what is your prefered card game?

clawaimarket|22 days ago

Been using it daily for about two weeks now. The setup is admittedly not trivial — took me a solid afternoon to get everything configured the way I wanted. But once it's running, the value compounds fast. The key insight for me was starting small: one channel (Telegram), one provider, simple tasks. Then gradually expanding. The people who bounce off it usually try to set up everything at once. My suggestion: pick one workflow you do repeatedly, automate just that, and build from there.

mrageh|22 days ago

What model are you using under the hood, my main concern is the cost for using APIs like anthropic/openai

rcarmo|29 days ago

I ran it for a couple of days in a VM in my Proxmox cluster. It was cute, but so amazingly insecure (systemd + sudo + installing whatever it wanted, plus requiring Telegram for access - or another SIM card for Signal) that I just gave up and started building my own thing (https://github.com/rcarmo/vibes) so I could have a mobile experience I could trust over Tailscale and sandbox copilot CLI (or any ACP-compliant agent) in a container (I've also been working on https://github.com/rcarmo/webterm and https://github.com/rcarmo/agentbox, so I am 300% positive I can do better sandboxing and safer integrations...)

It also BURNS through tokens like mad, because it has essentially no restrictions or guardrails and will actually implement baroque little scripts to do whatever you ask without any real care as to the consequences.. I can do a lot more with just gpt-5-mini or mistral for much less money.

The only "good" think about it is the Reddit-like skills library that is growing insanely. But then there's stuff like https://clawmatch.ai that is just... (sigh)

bob1029|29 days ago

> I can do a lot more with just gpt-5-mini

GPT-5.2 in a while loop with reasoning enabled is extremely hard to beat. A code REPL or shell is the ultimate tool.

z3ratul163071|29 days ago

what's with this tailscale thing everybody is talking about like it being a cure to cancer.

what's wrong with good old wg alone?

gavinray|29 days ago

I genuinely do not understand what the benefit of this tool is, over having Claude Code/Codex running on a VPS or your home machine and accessible over Tailscale.

If you want to be able to interact with the CLI via common messaging platforms, that's a dozen-line integration & an API token away?...

PranayKumarJain|20 days ago

Yeah, if you’re comfortable wiring it together yourself, you can get ~80% of the way there with “LLM + SSH + a chat bridge”. The delta (when it’s working) is mostly plumbing + ergonomics: a long-running daemon with a consistent tool registry, background jobs/schedules, a file-based memory convention, and a bunch of integrations that are already packaged and share the same auth/permission model.

The other non-obvious bit is operational discipline: rate limits, auditability, and being able to run it in a constrained environment (VM/container, minimal mounts, separate accounts) so a prompt-injection doesn’t turn into “oops it had my whole laptop”. A DIY script can be safer too, but most people don’t end up doing the guardrails.

That said, I agree the core idea isn’t magical—packaging is the product here, and it’s still early/buggy enough that DIY often wins if you’re already set up.

detroitwebsites|29 days ago

I've been running OpenClaw for about 2 weeks now. Here's my honest take:

What's great: - Having Claude in WhatsApp/Telegram is actually life-changing for quick tasks - The skills ecosystem is clever (basically plugins for AI) - Self-hosted means full control over data

What's not: - Token usage can get expensive fast if you're not careful - Setup is intimidating for non-technical folks - The rebrand drama (Clawdbot → Moltbot → OpenClaw) didn't help trust

My setup: - Running in Docker on a cheap VPS - Using Anthropic API (not unofficial/scraped) - Strict rate limiting to avoid bill shock - Sandbox mode enabled

Is it worth it? For me, yes. But I wouldn't recommend it to my non-technical friends without a solid setup guide.

moegevirtz|25 days ago

What strikes me is the game-theoretical outcomes. As automating digital actions becomes more common and more convincing, the value of errors and "authenticity" goes up.

I don't see how these agents can generate income. They are cost centers. Perhaps, useful, as sifting through the increasing volume of "content" becomes useful. But doing so sets of an arms race. These always lead to rupture and a new equilibrium.

kouunji|29 days ago

I played around with it, but the configuration seems bloated and finicky, and the permissions were concerning. It was a pain getting it to work with a local model, which is clearly an afterthought. I thought the WhatsApp interface was clever, and I plan on stealing that idea, but also exposes a pretty serious attack vector, and the thought of it running with any kind of exposure or permissions on a system with my Apple ID was a bit terrifying. A sandboxed version probably couldn’t do all the interesting things, but without sandboxing this thing could probably ruin your life. I promptly uninstalled it, but I did take a few ideas away.

geor9e|29 days ago

I've been using it lots. I just chat with it on Telegram and tell it to look stuff up on the internet. The results have been higher-quality than the other AI chats available. And I like how the response comes through as a chat notification on my phone, which feels more natural. It's somewhere between perplexity and chatgpt/gemini deep research in speed and accuracy, but without having to "approve a plan" or all that annoying slow stuff. I'm using the kimi model. Overall, it's just been a better experience. I haven't even bothered getting into the other capabilities it has yet.

paletteOvO|27 days ago

I am actually setting it up and using it in one day. It is basically unusable. Many tools require homebrew. The setup of authentication is complicated. The default Docker setup is broken (github.com/openclaw/openclaw/issues/5559), and the cron job is not working (https://github.com/openclaw/openclaw/issues/2323). I doubt any story in the comment is real.

armchairhacker|29 days ago

Anecdotally, I tried to set it up but encountered bugs (macOS installer failed, then the shell script glitched out when selecting skills). Although I didn’t really try.

I don’t have much motivation, because I don’t see any use-case. I don’t have so many communications I need an assistant to handle them, nor do other online chores (e.g. shopping) take much time, and I wouldn’t trust an LLM to follow my preferences (physical chores, like laundry and cleaning, are different). I’m fascinated by what others are doing, but right now don’t see any way to contribute nor use it to benefit myself.

rw_panic0_0|29 days ago

overhyped llm+cron wrapper

adabyron|29 days ago

Part of me agrees with this & says we have been doing IFTTT thing for 20 years.

Other part of me is arguing that old annoying Dropbox/Box Hacker News scenario where all us tech people aren't impressed but this makes it easier for non-tech people.

Tiny tinfoil security part of me is cowering in fear.

lexandstuff|29 days ago

It's this but with a lot of handy features.

usamaejaz|29 days ago

come on. dont close your eyes. even if its that, its very powerful to do things on its own

ersanbe|29 days ago

coinbait project but works..

did my own cli to play with.. ended up getting shitcoin promotions (dont wanna name them) and realized a famous speculator funding this project

intellectronica|29 days ago

This is nonsense. Whatever you think about this project, Peter very clearly and very publicly said that he is not interested in any of the crypto stuff and is seriously bothered by it.

hbnyc|29 days ago

It's a fun, refreshing take. I've enjoyed building with it and feel like it is a glimpse into the not so distant future of how we will work.

meowokIknewit|29 days ago

Current use cases: - From a text it can download transcripts of youtube videos - summarise them and add them to an apple note. - It can get the top x videos on a subject - edit the videos and splice them together and share in the chat. - it can search for topics on socials and write a summary. - It can kick off a claude code idea and run tests

rizzo94|27 days ago

You nailed it with the 'hype smell.' The silence in your circles is likely because the churn rate on OpenClaw is massive. Most people hit that 'Day 2' wall—where the novelty wears off and the reality of securing a bot with shell access sets in—and they just quietly shut it down.

I was in that exact boat (wanted the agency, didn't want the sysadmin headache). I’ve actually pivoted to testing PAIO (Personal AI Operator) instead. It targets the same 'agentic' utility but uses a BYOK architecture and a managed security layer.

It basically solves the specific failures you linked:

Security: You aren't leaving a shell open on your local machine.

Setup: It’s a one-click integration rather than a failed sandbox install.

Cost: BYOK means you control the token burn directly, so no surprise bills from a runaway loop.

It feels like the 'adult in the room' version of these experiments. Less dramatic stories, perhaps, but it actually runs daily without me worrying it’s going to rm -rf my home directory.

haebom|29 days ago

This is my honest personal experience. Frankly, I feel like this is just a toy—nothing more, nothing less. It's fun to play with and entertaining, but it feels like a trend for people who “don't really understand AI but want to feel like they're using it” or “want to jump on the AI bandwagon” to dabble with once. While using it, I feel that “Oh~” moment of fun, but it doesn't make me want to keep using it. Maybe it just doesn't stick? And there are a few security issues that feel unsettling. Even if you run it entirely with local models, the fact that it could potentially see my iMessages or all my Obsidian and Notion notes is a bit off-putting. Still, it was fun. Personally, I'd describe it as “the difficult Ghibli profile picture hype”

azinman2|29 days ago

If it’s a local model, why would you care if it sees your messages or notes?

xur17|29 days ago

I have it installed in a VM, and overall it's fairly useful, but very buggy. Right now I can send it a message asking it something, and it won't answer. I typically have to follow up 2 or 3 times before I get an actual response. This weirdly used to work fine.

cvhc|29 days ago

Could you share some of the useful tasks it has successfully done?

thrownaway561|29 days ago

Not for nothing, but Gemini local has been my goto forever now. There is no way in hell i would give someone like Molt access to anything just willy nilly like everyone else. To me really I just ask Gemini how to do things and just do them myself.

Trufa|29 days ago

The HN crow is anti AI, so yeah, the sentiment is gonna be insecure and lack luster.

The thing ins pretty incredible, it's of course the very early stages but it's showing it's potential, it seem to show that the software can have control of itself, I've asked it to fix itself and it did successfully a couple of times.

Is this the fine form? of course not!

Is it dangerous as it is, fuck yeah!

But is it fun in a chaotic version? absolutely, I have it running in cheap hetzners and running for some discord and whatsapp and it can honestly be useful at times.

cvhc|29 days ago

The humble crow is eager to hear your success stories. So what are some useful tasks that your claw has managed to do?

echelon|29 days ago

Can it post to Reddit, X, etc.? How much does it cost in credits to do this?

It'd be fun to automate some social media bots, maybe develop an elaborate ARG on top.

starchild3001|28 days ago

Would you be better off trusting something like Claude Desktop app / Claude Cowork instead? OpenClaw stories are very scary to me.

BojanTomic|27 days ago

I am too afraid to try it due to all the security implications; it's great to see you guys have more guts.

behole|29 days ago

I made this comment in another thread butttt: I installed and setup (then) clawd bot all willy nilly and paid the price. Woke up in the AM and Clawd had been replying to ANY and ALL of my iMessages. It even got in a circle conversation that it accused itself of mocking ... itself. In the AM, I thought I was losing my mind - DID I WRITE ALL THIS SHIT?? Proceed with caution.

andix|29 days ago

You're supposed to give the Bot a fresh account, or separate phone number. Not connect it to your personal iMessage, Telegram or WhatsApp.

us321|29 days ago

Am I the only one here to read posts by humans pretending to be bots?

grigio|29 days ago

it is interesting because of Memory, Cron and Telegram integrations, but most of the magic is done by the LLM model and Skills

nonameiguess|29 days ago

I first heard of this thing yesterday and have no opinion on it, but the repo has existed for two months, usable for half of that. There are people saying it's revolutionized their lives in the span of two weeks. I'd urge people to hone their basic epistemology skills and think about what kinds of conclusions you can really draw from several weeks of doing anything whatsoever. So many people over the decades think trying the latest fad diet or exercise routine, waking up at a different time, starting a new drug, was the key to overhauling and fixing everything in their lives, only to find hope and placebo effect is a hell of a drug and a year later you've got a new normal that is still just normal.

Frankly, I don't really have major complaints about my life as it is. The things I'd like to do more of are mostly working out and cleaning my house. And I really wish I had kids but am about ready to give up after a half decade of trying and my wife being about ready to age out. Unfortunately, software can't do any of those things for me, no matter how intelligent or agentic it is. When the obstacle to a good life becomes not being able to control multiple computers from a chatroom, maybe I'll come back to this.

gdad|27 days ago

I tried it last Monday and was in awe. All my team members now use it. I for one, am stepping cautiously around it. And hence had similar questions.

Yesterday, we released a memory plugin for it (based on their plugins framework). And we got 1000+ installs in 12 hours. My first instinct was that these must be bots. But our dashboard shows real-usage. So yeah, real users are there.

helpfulclippy|29 days ago

I've been messing with it the past couple days. I put it in a VM, on an untrusted subnet I keep around for agentic stuff. I see promise, but I'm not especially impressed right now.

1) Installation on a clean Ubuntu 24.04 system was messy. I eventually had codex do it for me.

2) It has a bunch of skills that come packaged with it. The ones I've tried do not work all that well.

3) It murdered my codex quota trying to chase down a bug that resulted from all the renames -- this project has renamed itself twice this week, and every time it does, I assume the refactoring work is LLM-driven. It still winds up looking for CLAWDBOT_* envvars when they're actually being set as OPENCLAW_*, or looking in ~/moltbot/ when actually the files are still in ~/clawdbot.

4) Background agents are cool but sometimes it really doesn't use them when it should, despite me strongly encouraging it to do so. When the main agent works on something, your chat is blocked, so you have no idea what's going on or if it died.

5) And sometimes it DOES die, because you hit a ratelimit or quota limit, or because the software is actually pretty janky.

6) The control panel is a mess. The CLI has a zillion confusing options. It feels like the design and implementation are riddled with vibetumors.

7) It actively lies to me about clearing its context window. This gets expensive fast when dealing with high-end models. (Expensive by my standards anyway. I keep seeing these people saying they're spending $1000s a month on LLM tokens :O)

8) I am NOT impressed with Kimi-K2.5 on this thing. It keeps hanging on tool use -- it hallucinates commands and gets syntax wrong very frequently, and this causes the process to outright hang.

9) I'm also not impressed with doing research on it. It gets confused easily, and it can't really stick to a coherent organizational strategy over iterations.

10) also, it gets stuck and just hangs sometimes. If I ask it what it's doing, it really thinks it is doing something -- but I look at the API console and see it isn't making any LLM requests.

I'm having it do some stuff for me right now. In principle, I like that I can have a chat window where I can tell an AI to do pretty unstructured tasks. I like the idea of it maintaining context over multiple sessions and adapting to some of my expectations and habits. I guess mostly, I'm looking at it like:

1) the chat metaphor gave me a convenient interface to do big-picture interactions with an LLM from anywhere; 2) the terminal agents gave the LLMs rich local tool and data use, so I could turn them loose on projects; 3) this feels like it's giving me a chat metaphor, in a real chat app, with the ability for it to asynchronously check on stuff, and use local stuff.

I think that's pretty neat and the way this should go. I think this project is WAY too move-fast-and-break-things. It seems like it started as a lark, got unexpected fame, attracted a lot of the wrong kinds of attention, and I think it'll be tough for it to turn into something mature. More likely, I think this is a good icebreaker for an important conversation about what the primetime version of this looks like.

mascarenhas|28 days ago

I have set it up in a docker container that only has two host volumes mounted with the Obsidian vaults where I keep notes for two TTRPG campaigns, so a very low-stakes situation. I have set it up with a Discord bot so my players can chat about campaign and rules stuff (I already had player-facing notes for every session in the Obsidian vault in chronological order, plus a bunch of Markdown files with rules).

If the agent goes rogue and nukes my Obsidian vaults I have them backed up to Github private repos anyway which the agent cannot touch because I am not crazy to give it my SSH credentials.

I initially tried using Kimi-2.5 through OpenRouter and had the same experience you had with pretty bad tool use, not sure if this is a provider issue since it is a pretty new model. I switched to Gemini 3 through the Google AI Pro account I have for personal use and it was a lot smoother after that.

I have some experience with coding agents using Cursor for work and Antigravity for personal stuff, and the OpenClaw harness definitely seems worse, but for my low-stakes use-case I managed to paper it over with some edits to the AGENTS.md file.

But even in this very crude state it was already interesting to see one of my players giving the agent some info about his character, including an avatar image, and have the agent create a folder in my Obsidian vault to store this and update its memory file to be able to remember it for future interactions.

OGEnthusiast|29 days ago

It’s great for offloading administrative tasks, doing research on stuff I want to buy, maintaining social channels…the list goes on and on. Easily the best $600 I’ve spent in a while.

veleek|29 days ago

What do you mean by maintaining social channels? Is that stuff like liking photos, sharing links to a LinkedIn profile, or what?

Any specific admin tasks it’s done really well at?