Agent = Docker Container: A mental model that simplified everything in my agent infra project

Agent = Docker Container: A mental model that simplified everything in my agent infra project As an AI algorithm researcher and engineer, I recently started building infrastructure for next-gen agents and agentic systems. The water is much deeper than I originally expected. Here's one insight worth sharing: agent export/import . I initially built on OpenClaw , where the "workspace" felt like a natural unit for agent export/import. But as development progressed, hard questions emerged: How do you let users curate public data from private data before exporting? Given a workspace, how do you import it into a new environment with the agent's functionality intact? What about secrets, API keys, and environment-specific configs? These became significant blockers. Then a few days ago, my team started building agent architectures parallel to OpenClaw — and it hit me: in the future, everyone will build their own agent runtime. OpenClaw is great, but it's not the only destination. So why couple m