bmbouter/alcove

Alcove is a very early-stage (13 days old, 0 stars) project attempting to solve the code execution sandboxing problem specifically for the OpenShift/Kubernetes ecosystem. While secure execution for AI agents is a critical bottleneck for enterprise adoption, the project currently lacks any significant moat or community traction. It competes in a space dominated by specialized startups like E2B (which focuses on sandboxed runtimes for agents) and established developer infrastructure. The primary threat here is not necessarily from frontier labs like OpenAI, but from platform owners like Red Hat (IBM). As part of 'OpenShift AI' or 'Red Hat Device Edge,' the platform provider is highly likely to release native, highly integrated sandboxing primitives that would render a small third-party project obsolete. The defensibility is low because the project likely relies on standard Kubernetes primitives (Pods, NetworkPolicies, SCCs) which are common patterns rather than proprietary technology. Without a significant community or a unique approach to managing transient agent workloads that outperforms native K8s controllers, it remains a utility-grade experiment.