Ollama is the easiest way to run open-weight models locally. One binary, model pulls via tags, OpenAI-compatible HTTP endpoint on localhost. Pair Digitorn with Ollama for fully offline coding agents, air-gapped research bots, or compliance-heavy deployments where the data cannot leave your machine. Quality trails frontier models for the hardest tasks but closes monthly.
app.yaml1brain:2 provider: openai_compat3 model: llama3.3:70b4 config:5 base_url: "http://localhost:11434/v1"6 api_key: "ollama"7 temperature: 0.2Ollamadoesn't have a first-class catalog entry yet. Configure it inline using env templates, the same way the blog examples show. Native catalog support is on the roadmap.
# 1. install the runtime
curl -sSL https://digitorn.ai/install | sh
# 2. Ollama runs locally, no credential to register
# 3. install a starter agent and chat
digitorn install hub://digitorn/digitorn-code
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.