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OpenShell v0.0.41 🧩 agent-driven policy management 🎚️ sandbox resource flags in the CLI 🔒 custom CA support for OIDC TLS verification 📥 sandbox downloads with workspace-boundary checks 🔧 bug fixes and stability improvements Policy and resource control, directly from the shell.
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OpenShell v0.0.40 🔀 local-domain service routing in the gateway ☸️ k8s node scheduling + tolerations 🔒 CLI TLS now uses the OS trust store 🛡️ SecretResolver debug no longer leaks secrets Two security fixes ship alongside new routing and K8s scheduling control.
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OpenShell v0.0.37 🧩 pluggable compute drivers: Docker, Podman, Kubernetes, MicroVM 🔒 OIDC + RBAC gateway auth ☸️ Helm chart + Kubernetes user namespaces 📦 Debian, RPM, and Homebrew packages breaking: recreate the gateway before upgrading.
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Building on our earlier introduction to @nvidia #OpenShell# and our role as an official inference provider, today we’d examine how it powers safer, production-ready autonomous #agents#. In our latest blog, we’ll explore: 🔹What NVIDIA OpenShell is and why it matters for long-running, autonomous agents 🔹How its architecture enables safer and more controlled agent execution 🔹Real-world use cases and deployment approaches for agent systems As AI moves beyond experimentation toward persistent, agent-driven systems, the focus is shifting from models to how these systems are executed, governed, and scaled. Read the full blog to learn more 🔗: #AgenticAI# #AIAgents# #neocloud#
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We are excited to share that Bitdeer AI Cloud is now supporting @nvidia #OpenShell#, an open source runtime designed to safely build and deploy autonomous, self-evolving agents 🤖. Powered by high-performance NVIDIA GB200 NVL72 systems in our AI DC, Bitdeer AI Cloud provides the infrastructure required to run long-running agent workloads at scale. Developers can build your own AI agent on NVIDIA OpenShell, and seamlessly deploy them on Bitdeer AI Cloud, enabling secure execution, sandboxed environments, and reliable compute for persistent agent systems. This collaboration aligns closely with key themes from the NVIDIA GTC 2026 keynote, where Jensen Huang highlighted the shift toward agentic AI, AI factories, and infrastructure designed to support reasoning, inference, and execution at scale. As AI systems move from simple inference toward autonomous workflows, secure agent runtimes combined with high-performance infrastructure will become a critical foundation for the next generation of AI applications. We’ve compiled more key highlights from the keynote. Read the full summary on our blog🔗: #neocloud# #NVIDIA# #NemoClaw# #Inference# #GTC26#
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