NVIDIA/NemoClaw

Features

• Agent Runtime Sandboxing - Executes persistent AI agents within restricted, sandboxed environments to prevent unauthorized host system access.
• Agent Lifecycle Management - Manages the creation, configuration, and operational state of agent instances.
• Agent Orchestrators - Orchestrates the deployment and lifecycle of LLM agents within secure, persistent execution environments.
• AI Security Orchestrators - Manages isolated connections and enforces security boundaries between AI agents and execution environments.
• AI Execution Sandboxes - Provides a protected runtime that isolates persistent agents from the host system for operational security.
• AI Security Gateways - Ships a managed routing gateway that secures and monitors interactions between agents and language models.
• Model Routing Layers - Implements a centralized routing layer to control access and secure communication between agents and language models.
• CLI Agent Management - Provides a command-line interface to manage the deployment and operational state of AI agent instances.
• Agent Lifecycle Management - Provides tools for controlling the full deployment and operational lifecycle of persistent AI agents.
• Agent Execution Environments - Maintains long-running agent states within secure containers to support continuous operation without context loss.
• Model Request Routing - Routes agent inference requests through a managed layer to optimize communication with language models.
• Request Routing - Directs traffic between agent requests and backend inference engines to optimize resource allocation.
• Managed Inference Routing - Routes agent requests through a controlled layer to ensure secure and efficient communication with models.
• Agent Frameworks - Managed inference and execution for agentic workflows.

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