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NemoClaw
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
open-sourcesandboxes-execution
22.6k
Stars
+1884
Stars/month
3222
Commits (90d)
0
Releases (6m)
Star Growth
+5.7k (33.3%)estimated from velocity
Overview
NVIDIA NemoClaw is an open-source reference stack for running supported AI agents more safely inside NVIDIA OpenShell sandboxes. It provides guided onboarding, managed inference, network policy, managed integrations, snapshots, and lifecycle operations through its CLI and agent-specific aliases.
Deep Analysis
Key Differentiator
Provides a managed, secure execution environment for AI agents using NVIDIA's OpenShell sandbox technology with guided deployment and lifecycle management.
⚡ Capabilities
- • sandboxed agent execution
- • managed inference
- • network policy controls
- • lifecycle operations
- • snapshots
- • guided onboarding
🔗 Integrations
OpenClawHermesLangChain Deep Agents CodeNVIDIA OpenShell
✓ Best For
- ✓ running AI agents securely in sandboxes
- ✓ managed agent deployments
- ✓ enterprise agent safety
✗ Not Ideal For
- ✗ end-user AI applications
- ✗ non-technical users
- ✗ unsandboxed agent development
⚠ Known Limitations
- ⚠ requires supported DGX or WSL host
- ⚠ only supports specific listed agents
- ⚠ platform-specific prerequisites
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Daytona
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e2b
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
Works with NemoClaw
Tools that integrate with NemoClaw, often used together in the same stack.
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