BabyAGI is a minimal autonomous agent that maintains a task list and works through it iteratively. It is brilliantly compact and a great teaching tool for understanding the loop. It is not designed as a production runtime, and shipping anything beyond the demo requires layering significant code on top.
Hot reload, abort handling, credential vault, audit logging, and per-agent budgets are not features you build, they are defaults.
Digitorn's memory module exposes set_goal, task_create/task_update, and a working memory primitive that survive context compaction. Same idea, drop-in upgrade.
No Python packaging, no FastAPI wrapper, no hand-rolled logging. The runtime is the deployment target.
Open Studio and tell the builder assistant what you want. It builds the agent for you, connects your tools, and you refine it live on the canvas. It's vibe coding for agents, nothing to install.
Open StudioEngineering notes from the Digitorn team. No marketing, no launch announcements, no "10 prompts that will change your life". Just the things we write that we'd want to read.
