NVIDIA/NemoClaw
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference observed · 2026-08-28
Health v2 · maintenance only
59/100
- Activity 99
- Release rhythm 35
- Longevity 12
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 171
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
22287 stars · 3052 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
NVIDIA NemoClaw is an open-source reference stack for running AI coding agents such as OpenClaw, Hermes, and LangChain Deep Agents Code securely inside NVIDIA OpenShell sandboxes. It provides a CLI with agent-specific aliases, managed inference routing, network policy enforcement, snapshots, credential management, and lifecycle operations for sandboxed agent deployments.
Use cases
- run OpenClaw or Hermes agents in a secure sandbox
- manage LLM inference routing for AI agents
- enforce network policies on autonomous coding agents
- set up sandboxed AI agents on DGX or WSL hosts
- manage credentials and secrets for AI agents
- monitor and control what sandboxed agents can access
- deploy AI agents to a headless server securely
When to choose
- you want to run OpenClaw, Hermes, or LangChain Deep Agents with strong sandboxing and network controls
- you need managed, centralized inference routing for multiple agents
- you're on NVIDIA DGX hardware or WSL and want a guided installer
- you need enterprise-style security controls, credential rotation, and monitoring for agent workloads
When to avoid
- you only need a simple agent framework without sandboxing overhead
- you don't use any of the supported agents (OpenClaw, Hermes, LangChain Deep Agents)
- you need a lightweight library to embed in your own app rather than an ops stack
- you're not prepared to run Docker-based sandbox infrastructure
Facets
framework · maturity active
agent-framework security llm-inference mcp cli monitoring networking security developer-tools large-language-models self-hosted windows cli self-hosted sandboxing openclaw openshell hermes langchain-deep-agents network-policy managed-inference nvidia dgx wsl ai-agents linux docker typescript
10 sources
- readme: https://github.com/NVIDIA/NemoClaw · fetched 2026-08-28 · 6d15f3c7394a
- homepage: https://docs.nvidia.com/nemoclaw/latest/ · fetched 2026-08-29 · 9d6b9a0f0a6f
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/inference/about-inference-routing · fetched 2026-08-29 · d274b1659465
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/manage-sandboxes/install-openclaw-plugins · fetched 2026-08-29 · de20b7b05d99
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/resources/agent-skills · fetched 2026-08-29 · 891b3a6ac983
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/resources/engineer-agentic-documentation · fetched 2026-08-29 · 11cb5c91c865
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/about/overview · fetched 2026-08-29 · d74abbf74569
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/about/how-it-works · fetched 2026-08-29 · 2e46843c65a9
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/about/ecosystem · fetched 2026-08-29 · 598e38215452
- site_page: https://docs.nvidia.com/nemoclaw/user-guide/openclaw/get-started/quickstart · fetched 2026-08-29 · 890adea5a060
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA/NemoClaw | main | 59 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem