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Introducing Dasher Tasks
Dashers can now get paid to do general tasks. We think this will be huge for building the frontier of physical intelligence. Look forward to seeing where this goes!
NVIDIA JUST DROPPED NEMOCLAW:
(and it is way bigger than most people realize)
for starters, NemoClaw is an open source stack for running always-on AI assistants inside a sandboxed environment.
so instead of giving an agent broad access and hoping nothing goes wrong, NemoClaw sets up a controlled runtime where:
> the agent runs inside an isolated OpenShell sandbox
> network requests are governed by policy
> file access is restricted to safe locations
> inference gets routed through NVIDIA cloud
> operators can review and approve blocked access attempts
it is basically NVIDIA's attempt to make autonomous agents safer to run in the real world.
1. IT IS NOT JUST "ANOTHER AGENT TOOL"
most people hear "agent framework" and think prompt wrapper.
that is not what this is.
NemoClaw installs the OpenShell runtime and creates a versioned sandboxed environment for OpenClaw agents.
that means it is focused on execution, isolation, and control.
> plugin handles launch, connect, status, and logs
> blueprint orchestrates sandbox creation, policy, and inference setup
> sandbox isolates the agent runtime
> inference is routed through controlled backends instead of direct model calls
the big idea is simple:
agents should not be trusted with raw system access by default.
2. THE WHOLE THING IS BUILT AROUND SANDBOXING
this is the part that matters.
NemoClaw starts with a strict baseline policy that controls:
> network egress
> filesystem access
> privilege escalation
> dangerous syscalls
> model inference routing
filesystem access is limited to places like /sandbox and /tmp.
unauthorized outbound connections get blocked.
if the agent tries to hit an unapproved host, OpenShell surfaces it for operator approval.
that is a much more serious security posture than "just let the agent run and pray."
3. IT TRIES TO MAKE AGENTS PRACTICAL
the workflow is designed to be usable, not just impressive in a demo.
you install it, onboard an agent, then connect and chat through either:
> an interactive TUI
> a CLI command for single-shot prompts and full terminal output
so you are not just reading docs about agent safety.
you are actually standing up a real isolated assistant and interacting with it.
4. NVIDIA IS PUSHING CLOUD-REROUTED INFERENCE
one of the more interesting design choices:
the agent does not send inference requests straight out on its own.
OpenShell intercepts those calls and routes them to NVIDIA cloud.
right now the main production model path is:
> nvidia/nemotron-3-super-120b-a12b via NVIDIA Cloud API
that matters because inference becomes part of the controlled environment too.
not just files.
not just networking.
the model pathway itself.
5. THIS IS VERY EARLY
important context:
NemoClaw is alpha software.
NVIDIA is pretty direct about that.
> rough edges are expected
> interfaces and APIs may change
> plugin commands are still under active development
> some setups may need manual workarounds
> production-ready orchestration is the direction, not the current state
so this is not "replace your whole stack tomorrow" territory.
this is "serious early infrastructure for safe autonomous agents" territory.
6. WHAT THIS ACTUALLY SIGNALS
the interesting part is not just the repo.
it is what the repo represents.
for the last year, most people focused on making agents more capable.
NemoClaw is part of the shift toward making them more governable.
that means:
> tighter execution environments
> declarative policy layers
> controlled tool use
> operator visibility
> safer always-on assistant deployment
in other words:
the next wave is not just smarter agents.
it is smarter containers around the agents.
REAL TAKEAWAYS:
> if you care about always-on AI assistants, this is worth watching
> if you care about agent security, this is more important than most prompt-layer tools
> if you want production-ready polish today, it is too early
> if you want to see where agent infrastructure is heading, this is one of the clearer signals
most people are still judging AI agents by how good the demo looks.
NemoClaw is about something deeper:
what happens when the agent actually has to live on a machine, touch files, make calls, and keep running without becoming a security nightmare.
that is the real problem.
and NVIDIA is clearly trying to build for it.