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, todo_add, 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.
# one-line install (Mac, Linux, Windows + Git Bash)
curl -sSL https://digitorn.ai/install | sh
# install a coding agent from the Hub
digitorn install hub://digitorn/digitorn-code
# chat with it
digitorn chat digitorn-codeEngineering 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.