Digitorn

Build AI agent apps in YAML. You declare agents, tools, security, and UI; Digitorn runs them.

hello.yaml
app:
  app_id: hello
  name: "Hello"

agents:
  - id: assistant
    role: assistant
    brain:
      provider: ollama
      model: qwen25-7b-gpu:latest
      backend: openai_compat
      config:
        base_url: http://localhost:11434/v1
        api_key: ollama
    system_prompt: "Reply with exactly one word: pong."

bash
digitorn install hello.yaml
digitorn chat hello
# → pong

Use the copy button on code blocks to paste examples into your own files.

Visual builder: Digitorn Studio (/studio) — canvas → Install for Test → Publish.

Where to start

Install Digitorn on your machine.
Follow the Tutorial from hello-world to a production-shaped app.
Keep Language open while you edit YAML.
Look up tools in Module reference.
Check What you can use in app YAML when you are unsure a name still exists.

Practical recipes: How-tos. Sample shapes: Examples.

The app YAML

A Digitorn app is one YAML file (or a small bundle directory). The usual top-level blocks:

Block	Purpose	Reference
`app:`	Identity (id, name, version, …).	App config
`runtime:`	Mode, turns, timeouts, hooks, triggers.	App config
`agents:`	Brains, prompts, multi-agent roles.	Agents
`tools:`	Modules, capabilities, channels.	Tools
`security:`	Behavior profile, credential schema.	Security
`ui:`	Greeting, workspace pane, widgets.	Client UI
`dev:`	Variables, skills, local helpers.	Bundle / skills
`flow:`	Optional fixed pipelines.	Flows

Also valid when you need them: context, documents, docs, templates, requirements.

Validate any file with:

bash

digitorn lint path/to/app.yaml

Documentation scope

These docs explain how to write Digitorn applications in YAML. They are not an internal handbook of the runtime process or its HTTP surface. Stay on Language, Tutorial, Modules, and Concepts above.

Where to start​

The app YAML​

Documentation scope​

Where to start

The app YAML

Documentation scope