It seems to me that OpenClaw and all its clones are almost useless tools for those who know what they're doing.

It's kind of impressive for someone who has never used a CLI, Claude Code, Codex, etc. Nor used any workflow tool like 8n8 or make.

For these people, asking an AI to create a program or a new tool with a prompt must seem like magic. For those who already use it, it seems like something that simplified the old ones but made them much more chaotic and unsafe.

The only good thing about it is that it made more "ordinary" people interested in these agentic tools. Sending messages via Telegram is much more user-friendly.

So I spent many, many hours setting OC up. I have it running on a dedicated VPS running with the best free models on OpenRouter.

Now, apart from having a nice companion for regular chat I cannot find any use for OC.

I ask it to send me daily resumes of what is happening on Twitter, Discord, etc. It doesn’t. I ask it to create an application, it doesn’t. I ask it to update its own configuration and it screws everything up. I mean, it’s a good platform to learn about what is possible and how to possibly set up integrations, memory, learn about skills and souls, etc., but actual practical use? I have not seen it (yet).

Plus it’s a huge money pit. Not only the tokens which you more or less can control), but every external tool needs an API token which is mostly a subscription for whatever you want to use (Brave, Browserless, etc).

So yeah, am I missing the point here?

New to the agent game. Didn’t have the space or time to do it before but spent some time last night sandboxing a setup on a dedicated Linux machine.

Using OpenClaw with Codex and a fallback local Ollama model. So far pretty impressed although there are some quirks.

From what I understand about the setup it’s nothing magical, sure. The “Agent” is just some .md files with persistent context to wrap around queries to the model, a workspace folder for scripts, cron jobs, the heartbeat feature which I need to look more into, and tie ins for channels to the agent + ability to run stuff on the machine. I can see a lot of avenues to hack at it with a little know how and the project itself feels well thought out and not super grifty.

I see a lot of hate from people saying they already built out something similar, but even they admit it’s well constructed and has way more features. I’m a SWE and also often hate on things especially if I already did something similar and see a bunch of hype like the whole concept is ground breaking. It IS well delivered and accessible for less technical people and extremely powerful. I’d like to know what I’m missing or if people are just being haters.

why did openai have to buy this? what value did they actually add or capture from it? in retrospect, it feels kind of ridiculous. nothing meaningful really came out of it besides a massive hype machine and endless speculation. it seemed like the entire narrative became bigger than the actual product or technology itself.

Edit: as many people said in the comments, openclaw is an open-source project, and openai did not buy it. it hired its creator for an undisclosed amount to “bring agents to everyone.”

I’m very aware of confirmation bias - the act of seeking out sources of information that just reinforce your own opinion. Im also a user of some AI tools at work and find them moderately helpful in places, so I do believe LLMs have use cases. My bones to pick are with the hype and the billionaires and grifters responsible.

Came across this guy’s videos maybe 3 weeks ago - he seemed informed and was serving up daily critiques of the AI tech stocks and other things. Very similar thoughts and messaging you find in this sub.

And then just today, he basically pivots on every single criticism of AI hype, all because he seems to have used OpenClaw to update his website? From there he extrapolates a future of no office jobs and even MENTIONS GODDAMN UBI.

Anyone else familiar with this dude? Did he one shot himself, is he getting paid, or did he realize there’s more money in being a booster than a skeptic?

So everyone lost their minds when the OpenClaw v2026.3 update completely nuked the UI. People were screaming on X, hastily rolling back to v2026.3.11, and claiming the whole project was falling apart. The devs fixed it in 33 minutes. Someone literally just forgot to pack the UI files in the build release.

Classic open-source chaos. But the mass panic over a missing interface exposed something way deeper about the current state of local AI right now. OpenClaw isn't 'crashing' because of a bad pull request. It's crashing because 90% of the user base is fundamentally misusing the framework, and the broader AI ecosystem is getting violently competitive. The founder basically spelled out the actual danger recently, and it has nothing to do with bugs.

Let's get one thing straight immediately. If you are using OpenClaw like it's just a spicier version of ChatGPT, you are doing it wrong. I am seeing this everywhere. People set up a single agent, dump a massive master prompt into it, hand it 15 different tools—web search, code interpreter, file reader—and then act completely shocked when the agent spirals into an infinite logic loop or hallucinates a broken script.

OpenClaw is not a magical business strategy you can just toggle on. Jumping on the tool because some hustle-bro on TikTok said it will replace your whole marketing team is a guaranteed way to burn your time. The real power here is strictly the multi-agent architecture. You need a system. One agent gets one distinct role. Another agent gets specific tools. You have to route the workflow deliberately.

Look at how the independent devs who are actually surviving the token-burn are setting this up. They aren't running single monolithic models anymore. They are running heavily structured, 3-layer military hierarchies. You put Claude Opus 4.6 at the very top as the brain doing the strategic breakdown. Then you pipe the fragmented tasks down to a local execution layer—usually quantized models like Qwen, Gemma, or MiMo—to do the brute force text parsing and daily grunt work. Finally, you maintain a specialist layer running GPT-5.4 just to crack the weird coding roadblocks. That is what OpenClaw was built to orchestrate. If you don't do this, you are leaving 90% of the value on the table and complaining about a tool that you don't understand.

Even with a solid setup, people are getting frustrated by the manual memory management. That is exactly why we are seeing what the Chinese community is literally calling the 'lobster migration' (OpenClaw's mascot is the lobster). Everyone is suddenly looking at Hermes Agent.

Hermes fixes the 'cyber amnesia' that plagues complex agent runs. OpenClaw is incredible at routing, but its native memory management historically required constant hand-holding. Hermes brings a self-evolving loop and dynamic memory natively. It automatically accumulates custom skills without you having to write manual JSON configs every time. Now, the real power users are stacking them: Hermes to tame the local models and handle the memory evolution, and OpenClaw to orchestrate the broader multi-model army.

To be fair, OpenClaw pushed a massive counter-move in the March update to fight back. Hot-swappable memory is officially here. The AI finally doesn't forget who you are midway through a deep coding session. They also rolled out native support for the GPT-5.4 and Gemini 3.1 dual engines, and launched a dedicated plugin store. You can now install skills like apps. It is basically becoming a fully-fledged AI operating system. With over 280,000 stars on GitHub, it is literally outpacing Linux.

But all of this technical progression brings us to the actual, existential danger. Jason Calacanis dropped a bomb on the All-In podcast recently. I usually take his takes with a grain of salt, but I don't think he's acting like a conspiracy theorist here. He stated bluntly that the number one goal of companies like Anthropic and OpenAI right now is to kill OpenClaw.

Think about the mechanics of that for a second. An open-source agent platform is an existential threat to frontier model companies. OpenAI desperately wants you locked into their walled garden, paying for API calls, and using their proprietary agent architectures. Anthropic wants you living entirely inside Claude's artifact system.

If OpenClaw becomes the default Android-like OS for agents, the underlying model becomes totally commoditized. You can swap out GPT-5.4 for a fine-tuned local Llama or Qwen whenever you want. You can run the entire 'lobster' on a flash drive to save on token costs and protect your local hard drive data. One guy recently hooked OpenClaw directly into WhatsApp to negotiate car prices and saved $4,200 without speaking to a human. Another guy bypassed API keys entirely using open-source tools to run it locally without burning a single token.

The big labs lose their moat the second the orchestration layer becomes open and dominant. That is why you are seeing this silent war. The labs are aggressively pushing their own proprietary agent frameworks, trying to starve the open-source alternatives of mindshare, and quietly making it harder to use their APIs for agentic looping. Some creators are even claiming OpenClaw is being 'shadowbanned' or throttled behind the scenes as a coordinated industry harvest.

So no, OpenClaw isn't too complex. It just requires actual engineering discipline instead of mindless tool-jumping. And the reason it feels like you're fighting an uphill battle sometimes isn't just because of bugs—it's because the biggest tech companies on earth have a vested financial interest in making sure open orchestration fails.

The UI bug last week was a minor hiccup. The real test is whether the open-source community can keep the infrastructure resilient enough to survive the API throttling and the corporate walled gardens.

What are you guys currently running for your agent orchestrator? Are you sticking strictly with pure OpenClaw, migrating some workflows over to Hermes, or doing some weird hybrid stack?

For the money it will cost you to run OpenClaw, the benefits are significantly weak.

First, it costs you like 50 cents to do like one simple prompt.

Second, if you try to run it local, you need a NASA-level PC.

Third, the security is abysmal. You need to pray that hackers don't find you.

For what? So OpenClaw can press a button for you and send an e-mail?

Am I missing something? It seems godawful.

Here's why:

1 It needs to build all integrations from scratch.

If you don't understand what's going on in the background, it feels like you're not getting anything and wasting AI tokens in the process. All integrations need initial setup and some patience.

2. It has a hard time writing important things in memory.

If you don't understand that agents sometimes have a hard time differentiating between an important achievement or a simple task, you won't tell the agent to write the learnings in memory. Again, you'd feel you are not getting anything meaningful and spending more time tweaking and wasting tokens than getting things done.

3. Not easy to setup for someone that doesn't understand bash and CLIs.

Openclaw's main problem is the lack of technical knowledge from most people trying to use it. Not understanding the architecture of the agent leads to prompts like "Hey, you just woke up, open my LinkedIn and enrich one million leads from my feed". Garbage prompts end up in garbage outputs.

Don't get me wrong, I love the project and the repo is amazing. I'm a technical founder and I've managed to build a private ecosystem of prompts, skills, CLIs for a startup use case.

So much we ended up building our own version.

It has a 3-layer memory system where every compaction makes a debrief of the most important achievements and how tasks got resolved. It also runs daily, and then defines learning patterns every week.

It has a master CLI (the interface AI agents feel comfortable with) with integrations with twitter, linkedin, instantly, google search console, notion, and dozens of other tools. Since it's custom-built for an ai agent, it consumes little-to-none tokens. Openclaw normally digests entire HTML pages or rich Notion blocks with thousands of characters that only waste tokens.

It just launches by connecting your Slack, Discord or Microsoft Teams. Ready to go just by inviting the bot to your chat. Very handy if you launch multiple instances.

Do you think this is the right design pattern?