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Release Notes

This page tracks changes, new features, and fixes for each NemoClaw release.

0.1.0

The first release of NVIDIA NemoClaw, introducing sandboxed AI agent execution with kernel-level isolation, policy enforcement, and credential management.

Key Features

The following table summarizes the key features included in this release.

Feature Description
Sandbox execution environment Isolated AI agent runtime with Landlock filesystem restrictions, seccomp system call filtering, network namespace isolation, and process privilege separation.
HTTP CONNECT proxy Policy-enforcing network proxy with per-binary access control, binary integrity verification (TOFU), SSRF protection, and L7 HTTP inspection.
OPA/Rego policy engine Embedded policy evaluation using the regorus pure-Rust Rego evaluator. No external OPA daemon required.
Live policy updates Hot-reload network_policies and inference fields on running sandboxes without restart.
Provider system First-class credential management with auto-discovery from local machine, secure gateway storage, and runtime injection.
Inference routing Transparent interception and rerouting of OpenAI/Anthropic API calls to policy-controlled backends for inference privacy.
Cluster bootstrap Single-container k3s deployment with Docker as the only dependency. Supports local and remote (SSH) targets.
CLI (nemoclaw / ncl) Full command-line interface for cluster, sandbox, provider, and inference route management.
Gator TUI Terminal dashboard for real-time cluster monitoring and sandbox management.
BYOC Run custom container images as sandboxes with supervisor bootstrap.
SSH tunneling Secure access to sandboxes through the gateway with session tokens and mTLS.
File sync Push and pull files to/from sandboxes via tar-over-SSH.
Port forwarding Forward local ports into sandboxes via SSH tunnels.
mTLS Automatic PKI bootstrap and mutual TLS for all gateway communication.

For supported providers, inference protocols, and platform requirements, refer to the Support Matrix.