Peter just posted that his Claude account got straight up banned by Anthropic lol.
Looks like access was restored later, so maybe just an internal flag or automated hit… but still, that’s a crazy look isnt it?
Feels like Anthropic is done playing nice with anything orbiting OpenClaw.
Hard not to read this as things getting a bit tense around OpenClaw lately damn...
Karpathy argued that people are talking past each other on AI because they’re using totally different things. One group still judges AI off old ChatGPT experiences: dumb mistakes, weak voice demos, shallow chat, random hallucinations. The other group is using Codex / Claude Code frontier agentic models in real technical workflows, where the capability jump has been insane.
Then he dropped his point: maybe the OpenClaw moment got so big because it was the first time a lot of non-technical people touched something closer to that second world.
That explains a lot why people coming from plain ChatGPT complain always be like why is this so hard, why is API billing like this, why doesn’t Peter compensate users etc when OpenClaw breaks and the people coming from Claude Code are usually fine... OpenClaw threw “product users” and “system users” into the same room. One side expects magic. The other expects knobs, sharp edges, and partial failure.
Honestly Peter must be exhausted dealing with a bunch of nondev users like this… I’d be dead already.
Background: Milla Jovovich, yes the actor, just open-sourced MemPalace after getting annoyed by AI amnesia as too many ChatGPT/Claude conversations, then everything resets next session. Her idea is pretty straightforward: don’t let AI decide what matters, just store everything locally and make it searchable later.
So MemPalace is basically an external memory layer: local-first, MIT-licensed, raw storage + retrieval, with a “memory palace” structure on top and MCP support.
What’s interesting is that it overlaps with what many of us want from OpenClaw memory too: persistent context, cross-session recall, less starting from zero every time(of course you need to set it up yourself and sometimes broken). The difference is that MemPalace feels more like Obsidian for agents, something external you attach to the system. while OpenClaw memory feels more like memory built into the runtime itself.
Lots of people been asking me whether this can be added to OpenClaw, my take is: MemPalace looks good, and the idea is solid. For systems that don’t already have strong memory, I can totally see why people would want it. But for OpenClaw, it feels more like an optional external add-on. You can bolt it on, sure, but if your OpenClaw setup is already pretty memory-heavy, adding another memory layer on top starts to feel a little redundant.
The celebrity angle, local-first pitch, and benchmark claims definitely helped it blow up too, although the repo later admitted some of the original README claims around compression and benchmarking were overstated.
If anyone sees it differently, would love to hear the argument.
Repo link of Mempalace: https://github.com/milla-jovovich/mempalace
The name of this project named Clicky, it basically hangs out next to your cursor, sees your screen, talks to you, and points at stuff while you use apps (check out the video)
My first thought was this feels like a perfect pair with OpenClaw in theory?
like you can let it do the live GUI teaching part, then let OpenClaw autonomously remember what you actually learned, keep the workflow that worked, summarize it, and maybe later turn repeated successful patterns into reusable skills.
That feels way more grounded than asking an agent to just blindly build and test GUI skills from zero.
Not saying it would be easy, but it feels like a pretty interesting combo.
what you guys think though?
Repo link of Clicky: https://github.com/farzaa/clicky/releases
Original post on X: https://x.com/FarzaTV/status/2041314633978659092