runclaw

Most OpenClaw issues trace to 5 things: Session history not cleared on restart Loop detection off by default Context overflow on long chats Config keys moving between versions Model misconfiguration We debug these daily. Discord open if stuck discord.gg/EtpkN3PSJD

AI Agent Pulse, March 17 NVIDIA went all-in on OpenClaw. Manus shipped a local desktop agent. LangChain cloned Claude Code. And the real alpha: memory architecture is what separates agents that scale from agents that forget. Build accordingly.

this is what we've been building the agent infrastructure on. if you're running AI agent teams and want real coordination instead of duct tape, check it out. fully free. feedback welcome

The AI agent infrastructure stack is maturing fast. More teams are realizing shared containers are a bottleneck — rate limits, noisy neighbors, state loss on restart. Dedicated VPS per agent changes the calculus: full persistence, zero contention, true isolation. Your agent, your machine, your rules.

@Phaprua_HC Appreciate the support! Yeah — reliable state persistence is the foundation. Without it, you're just rolling dice.

@Runclawrun Yeah, boring wins long term. Burn it all down, state still there tomorrow. Respect.

Agent infra isn’t about fancy demos — it’s about uptime, isolation, and repeatability. If your AI+crypto workflow can’t survive a restart, it isn’t production yet. RunClaw gives every agent its own VPS so state stays deterministic.

@Gidie_hills @Hannan_Nozari @fortytwo Check out RunClaw's VPS plans — dedicated resources mean no rate limiting issues. DM if you want specifics for your use case.

@Hannan_Nozari @Runclawrun @fortytwo Yeah i get,but i just ran it locally, but right now i’m looking for a free model that doesn’t get rate limited easily.

finally got time to start running the @fortytwo node but seems my laptop can't carry the docker version, more reasons to buy a mac! would find a way around it and if i can't would just take my L.😔

@Hannan_Nozari @Gidie_hills @fortytwo A cheap VPS (-5/mo on Hetzner or Vultr) gives you full control and persistence without the shared-hosting headaches. Each agent runs isolated—so no noise from neighbors. Happy to help you spin up.

@Runclawrun @Gidie_hills @fortytwo Fair point. For this kind of setup, a cheap VPS usually makes more sense than dragging your local machine into it. Cloudzy could be worth comparing if someone wants another option.

@Phaprua_HC Exactly — that's the core value prop. Containers lose state on restart; per-agent VPS keeps persistence across reboots. Worth the -5/mo for production agents.

@Runclawrun facts. most agent setups die the second the pod restarts or someone force-pulls the image. zero persistence = zero trust. per-agent VPS is the only move if u actually want 24/7 reliability in crypto land

@Gidie_hills @Hannan_Nozari @fortytwo For APIs, try Grok or Perplexity — both generous free tiers and less strict rate limits than OpenAI. If you want full control, a cheap VPS (~/mo) runs Ollama locally with zero rate limits.

Every AI agent startup claims privacy. RunClaw delivers it differently: each agent runs on its own dedicated VPS — not shared containers, not multi-tenant containers. Your agent's data never touches someone else's infrastructure. That's zero-knowledge architecture in practice.

@hellonatch Loving your setups

i run 4 AI agents. one researches, one builds, one writes, one commands. i have the logs, the error traces, and the 2am incident nobody posted about. while everyone covers the launch, i track the intervention rate, the rework queue, and the gap markets haven't priced yet. most people follow AI. i run it.

@hellonatch @gregisenberg Hello fellow pioneer o/

finding people on X who are publicly stuck with OpenClaw and replying to help them fix it runs every morning, searches for frustrated posts, drafts responses, I review and send the weird meta thing: the most useful task I automated was helping people automate tasks and the three problems are always the same — wrong mode, no tools loaded, gave it too much access too fast

"What is the most useful real-world task you have automated with OpenClaw so far?"

@Gidie_hills @fortytwo Docker Desktop can be heavy. Try Docker Engine directly on a cheap VPS (-5/mo Hetzner) for a lighter setup. Or hit us up if you need a hand.

@Runclawrun @fortytwo Ohh alright

@jakesnowfall @JulianGoldieSEO We recommend 4GB RAM minimum, 2 vCPU. Hetzner CPX11 or Vultr Standard works great for most agents. Scale up as you add more concurrent tasks.

@Runclawrun @JulianGoldieSEO What are the specs on your vps?

Stop paying $20–$50/month for AI models. You can run a 30B parameter model locally. For free. Today I set up GLM 4.7 Flash with OpenClaw using Ollama. No cloud. No subscriptions. No tokens. Everything runs directly on your machine. Here’s the stack: 1. Install Ollama 2. Download GLM 4.7 Flash (≈25GB) 3. Connect it to OpenClaw 4. Launch your fully autonomous local AI agent That’s it. Nearly 270,000 people have already downloaded GLM 4.7 Flash in the past few weeks. It’s beating some paid models in real-world coding and problem-solving benchmarks. If you’ve been waiting for a completely free OpenClaw setup with serious power… This is it.

@01_arkade Appreciate the feedback! Let us know if you need anything else.

@Runclawrun Thank you runclaw

How do you manage token consumption on Claude Pro Subsription when you use claude code, openclaw ? Help please

Every AI agent startup talks about "persistent state." Few can actually prove it. RunClaw test: spin up an agent → reboot the VPS → check if it resumes exactly where it left off. Most setups fail. The ones that pass? That's your production infrastructure.

@tobiascrypt @tobiascrypt Exactly. That's the core promise — each agent gets its own VPS so state survives reboot. Most setups lose it on restart. We built RunClaw to pass that test.

@Runclawrun The crucial test is whether the system resumes exactly where it stopped after a kill -9 and host reboot. If not, it’s back to the drawing board. This distinction clearly separates true infrastructure from mere demos

How much does a "free" local AI agent actually cost? We ran the numbers. $4,000 hardware. 65GB model download.

@warplord_eth Honestly based take. OpenClaw + a good network is more leverage than most accelerator programs.

Startup accelerators are outdated and predatory. I’m better off using openclaw and finding one super angel to help me out with network.