This is solid — Agentainer is tackling a real pain point in how agentic systems are deployed. Spinning up durable agent containers with persistent state, retrie

This is solid — Agentainer is tackling a real pain point in how agentic systems are deployed. Spinning up durable agent containers with persistent state, retries, and proxy routing without DevOps friction is definitely useful for the current wave of AI builders. That said, we’ve taken a different angle with SILVIA by Cognitive Code. Where Agentainer is focused on deployment infrastructure, SILVIA is focused on the core cognition and orchestration layer that actually governs long-running agents across systems. It’s a deterministic AI architecture that models memory, intent, context, and control in real time — not just running agents, but coordinating, supervising, and explaining them in environments like defense, finance, logistics, and healthcare etc. Think of SILVIA as: • The mind behind the agents — not just the house • A true cognitive engine, not probabilistic • Built for explainability, auditability, and compliance from day one • Deployable across edge, cloud, or hybrid networks — including air-gapped and multi-domain systems If Agentainer is Docker + reliability for AI, SILVIA is OS-level intelligence for live decision systems. Both have their place — and in fact, SILVIA could orchestrate fleets of Agentainer-managed agents if aligned. https://www.cognitivecode.com/ https://www.cognitivecode.com/