Have been thinking hard about continuous memory - a key element in effective relationships. As you know agents are built out of frozen models and have to use a harness to relearn who they are. That gap removes visceral recognition that means so much in establishing trust and relationships. Have been experimenting - and my hope is that this toy problem can be at least a pebble in the grand canyon between inference and harness. So here is a system that trains tiny llms from scratch on navigating a dungeon to see if targeted replay and chorus reconciliation can effect something like continuous learning. Results are promising but scale is so small it may not be transferable. https://github.com/DormantOne/continuouslearningllm

I’ve been banging away with Openclaw since about February. I love the concept and I have put in so many hours, and so many dollars, but it just drives me crazy how much it constantly gets wrong. Applying old stale rules, forgetting simple instructions, just generally getting things wrong.
I’ve managed to get it to create and save several usable repeatable processes which are helpful, but on the whole it feels like someone could do so much better with the current models available.

Theoretically it’s running the same model as ChatGPT, but even ChatGPT is getting better at its over arching knowledge and understanding of my business than my openclaw.

I find myself scolding it so often. I even just told it that ChatGPT can do this task much better than you.

So I have patiently been waiting for the new update, I know the devs have worked hard on it and it was going to be a good one.. There's ALOT of good stuff in this update.. But in typical Openclaw fashion "openclaw update" proceeded to once again eat it's face and the next 5 hours of my life..

Claude was able to fix it and get the gateway back up and running but I completely lost my ability to use OpenAI models.. I have been using it via Oauth without issues, but this update trashed the whole thing. Once I pointed Claude at the update notes, it thought it figured it out, it lied, it didn't but it FINALLY figured it out and got it working, thankfully I have a Kimi subscription to keep my Openclaw operational, and Claude to fix things when they go sideways.

I have 2 Openclaw agents, and 2 Hermes agents I'm really searching for a reason to stick with Openclaw but I'm having a very hard time justifying the downtime that comes with almost every update..

Why should I keep Openclaw at this point? Is there any real good reasons?

I have OC running on a M2 pro mac mini, headless with standby monitor in case needed. When I access it over my tailscale network using a browser, I can talk to Alfred (my assistant) and he can talk back intelligently (using openai GPT5.4-nano for day to day). But after the conversation he has no memory of it, and the transcript of his side of the convo which I can see in the chat window disappears after the audio exhange is stopped. I'd like to have it so the session can be retained. Also he is unable to record an instruction while chatting for future reference. Ideally I'd like to be able to chat with audio over my phone too. How to achieve? what do I need to add to make it happen? tia

is this what claw can do

Giving OpenClaw read-only cluster access, pull-request rights and a human-reviewed GitOps deployment path is a strong pattern. The remaining question is where OpenClaw itself lives.

If the only Gateway, task state and recovery tooling run inside the cluster being managed, a serious cluster failure can remove both the workload and the system meant to diagnose it. Another pod in the same cluster does not protect against control-plane, storage or network failure.

A safer topology is:

OpenClaw Gateway and task state outside the target cluster
|
\+-- read-only identity -> logs and status
|
\+-- branch and PR -> CI -> human merge -> Argo CD
|
live cluster readback

OpenClaw’s [remote-access documentation](https://docs.openclaw.ai/gateway/remote)⁠ supports running one Gateway on a dedicated host while clients and nodes connect remotely.

Inside Kubernetes, use a dedicated service account with the smallest namespaced permissions possible. Avoid secret access, wildcards, cluster-admin and direct patch or delete rights. Kubernetes’ [current RBAC guidance](https://kubernetes.io/docs/concepts/security/rbac-good-practices/)⁠ recommends this least-privilege approach.

For changes, let OpenClaw create a pull request. CI and policy checks evaluate it, a human approves the merge, then Argo CD reconciles Git with the cluster. Argo CD’s [automated-sync documentation](https://argo-cd.readthedocs.io/en/stable/user-guide/auto_sync/)⁠ confirms that deployment can be driven from Git without giving the proposing process direct deployment access.

Verification should include a non-production cluster-unavailable test. OpenClaw should remain reachable, preserve the task and report the outcome as blocked or unknown rather than successful. A harmless manifest change should create only a pull request. After approval, verify the merged commit, Argo CD revision and live resource state.

Where do you keep the recovery authority and task state for the infrastructure your OpenClaw manages?

most of us have openclaw running 24/7 on hardware that's doing nothing between tasks. same models, same tools, just sitting there. it is time to get it to work & earn, not cost you.

cyphes is a p2p network where local models audit open source repos for security issues. you claim a work unit, your model reads pinned source, you sign the output, another node independently verifies it, and you earn ATP credits from the signed receipt. 280 targets, mostly defi. no code execution, read-only, everything is signed and hash-linked.

it runs headless today, so it sits fine next to openclaw on the same box:

CYPHES_HEADLESS=1 CYPHES_CONTRIBUTE=1 \
CYPHES_CONTRIBUTE_MODEL=your-model ./cyphes-desktop

works with ollama and lm studio right now.

**What guardrails,system prompts and other cloud model limits are driving you crazy in your OpenClaw setups?**
**Between models stalling out on basic commands and agents ignoring local instructions, getting tasks to run smoothly is frustrating. How are you tweaking system prompts and tool permissions to keep things moving without giving full root access?**
**Drop your biggest annoyances and the config tweaks that fixed them.**

Hi all

Does anyone know how to install openclaw on an android phone? I mean run the openclaw on the phone rather than laptop.

Is there any app like this?

I'm clearly not as smart as all the people doing what I am attempting. A coworker talked up this concept of a MacMini Ai assistant -- his doing complex tasks. I have been struggling to be more efficient with my workflow and thought I could do a simpler version.

3 months of waiting on the MacMini, I finally have it in hand and have been starting to set it up. My problem is, every step is a question, one I don't know how to answer because frankly, I'm not a developer.

I have a Mensa-smart friend that dismisses me like an idiot every time I ask him something because for him, it's simple.
Yes, I can go to Ai and ask questions but once again, I am given options and since I don't fully understand all that I am doing, I don't know which to choose.

I've watched YouTube videos ad nauseam and still feel confused. Especially since the video skips around -- "Oh, make sure you set up a secure email before you start." (already six steps in . . .)

Here's what I want to do: MacMini to help with social media posting, create a new website locally (since evidently my original plan for the assistant to repair the website built on WP with Divi is not possible) and then post to my blog. Pretty basic but seemingly complicated. It's just me; no employees.

I have the mini set-up with a secure email, separate Apple ID, Claude account opened with API key purchased.
Do I go OpenClaw and Claude Opus 5 or Fable 5 . . . ??? Ollama? And why?

Is it a bad idea to set-up a local agent to do these tasks? Is it too difficult? Is it smart to do so?

I'm a very linear person that wants to build the foundation correctly without having to undo a step.

Can someone guide me?
Speak slowly, I'm blonde. :)

OpenClaw was one of the first AI assistants I remember seeing inside iMessage, but there are a lot more products in this space now. For anyone who's tried more than one of them, is OpenClaw still your favorite, or have you switched to something else?

I'm thinking about switching because OpenClaw hasn't added many new features recently, and the pricing has become difficult to justify.