Docker’s getting serious about agent-based AI. It just rolled out tools tailor-made for building modular, goal-chasing LLM systems.

Model Runner lets devs spin up LLMs locally—zero cloud, zero wait. Offload taps cloud GPUs when local ones tap out. And the MCP Gateway pipes in external tools without duct tape.

Big picture? Multi-agent setups now fit cleanly into docker-compose.yml, mirroring orchestration patterns from microservices—just with agents instead of apps.

System shift: Docker’s not just supporting agentic AI—it’s angling to be the runtime layer for it, stitching together containers, clouds, and context-aware agents into one loop.