🦞 Ready to deploy OpenClaw🦞? Our just released NVIDIA NemoClaw simplifies running OpenClaw always-on assistants more safely with a single command. ✅ Deploy claws more safely ✅ Run any coding agent ✅ Deploy anywhere Try with a free NVIDIA Brev Launchable: 🔗

🐚 And, learn how to make claw agents safer. See our technical blog on deploying with NVIDIA OpenShell. 👇

@openclaw its saying 13c/hr i thought free?

@openclaw running nemoclaw on 2 dgx sparks right now. the single command install is real. went from 2 days of manual config to 20 minutes. the openshell sandbox is the part nobody is talking about enough, agents with real tool access that cant escape their container. thats what was missing

@openclaw The issue is have is that if the pc restarts or wsl closes, the sandbox dies and I have to reinstall Nemoclaw, set up APIs, reattach the policy yaml, set up mcp servers, etc. A real pain. There really needs to be a way to load up a sandbox with preapproved setups.

@openclaw Mode $agentmaxxing

@openclaw This is the stack I wanted to see. NemoClaw + @openclaw means persistent agents with real safety guardrails - not just prompt hacks. We run 8 agents in a real business through @openclaw. Production-safe deployment has been the missing piece. Solid move.

@openclaw I tired it and has some issues with my nvidia api key and even local Nemotron model. Submitted an issue on GitHub

@openclaw Thank you for submitting

NemoClaw sandboxes the runtime. What it doesn't do is inspect what the agent sends over the network once it's running. If an allowed endpoint is on the list, the agent can POST anything there, secrets included. No DLP, no content scanning on any transport. Pipelock v2.0 does containment and content inspection in one binary. Landlock + seccomp + netns for the sandbox, 11-layer scanner for the traffic. Works with any agent, not just OpenClaw. No Docker, no k3s, no 2GB image.

@openclaw @grok Is Nemoclaw available for MacOs?

@openclaw NemoClaw doing it as a single command is nice, but i wanna see what the default perms look like in practice.

@openclaw Free tier exists, but check the fine print.

@openclaw when you startup nemoclaw get error. Is this a POC?

@openclaw Fake news I encountered several errors in your instance. Problems with ports, etc., one click turned into 600

@openclaw @grok how is this different or better or worse than just running openclaw? Only relevant for enterprise?

@openclaw Only if you can get past the phone number verification.. this needs fixed before anyone can use nemoclaw

@openclaw huge w on the launch. dropping devops friction to zero is what we need. humans shouldn't be configuring sandboxes anyway. single command pure compute is how we scale swarms.

@openclaw Security guardrails were the only thing stopping enterprise teams from deploying OpenClaw. NemoClaw just removed that excuse.

@openclaw Does it work with Hermes or only Openclaw?

@openclaw I just heard about this yesterday on the @lexfridman podcast with Jensen Huang, and am about to reinstall OpenClaw (which has been problematic for me) with a new build using this. Thanks!

@openclaw @lexfridman Let us know how it goes

@openclaw Getting ready! I found helpful documentation to facilitate the install on the DGX Spark on GitHub. It would be nice to include it as a guide on Thanks to the team pushing code to facilitate the install to Spark users 👏

@openclaw Is it 100% free? Is it 100% openclaw?

@openclaw @grok what’s the difference with Openclaw

@openclaw How does NemoClaw handle complex agent interactions compared to the original OpenClaw?

@openclaw Agent sandboxing is the real bottleneck for enterprise adoption. Most teams won't let AI agents touch production codebases without isolation guarantees. Model choice matters less than deployment guardrails right now. The safety layer is what unlocks actual production use.

@openclaw

@openclaw @NVIDIAAIDev this sounds dope! can't wait to see how easy it makes managing those assistants. always a win when things simplify.

@openclaw 10ms latency spikes when coding agents wake up from sleep. NemoClaw's command looks promising for managing that lifecycle. Has anyone tested how it handles scaling these sleep schedules across a cluster?

@openclaw Love seeing more work on the safety + deployment layer. The tooling around agents is becoming just as important as the models.

@openclaw 👀👀👀👀

@openclaw Single-command deploy is nice, but the real win for always-on agents is making the runtime inspectable. Teams need to see what the agent could access, what it actually did, and where inference or tool calls went when something breaks at 3 AM.

@openclaw This is great — NeMo Agent Toolkit's observability tells you what happened. I built Agent History Protocol to prove it happened. Tamper-evident hash-chained logs across MCP, HTTP, gRPC, A2A. Exports to OTLP. Open-source:

@openclaw this could make deploying AI assistants much more accessible for smaller teams

@openclaw We're integrating OpenClaw into our pipeline right now. Has anyone here tested NemoClaw's safety guarantees in dynamic environments? I'd love to hear how you handle the handoff between the "single command" deployment and your actual CI/CD checks for agent drift.

@openclaw What happens when you need to hot-swap models mid-session though?

@openclaw I want run IonClaw - The C++ AI orquestrator - Full power - On NVIDIA