Architecture

The platform​

Asgard AI is an enterprise SaaS platform for building LLM applications, aimed at generative AI. Three products sit at its centre:

Product	Where it sits	What it does
Odin Studio	The AI enablement console	Visual workflow design, AI resource management, version control
Mimir Data Insight	AI data insight	Generative analysis, intelligent queries, decisions from data
Sindri Agent Hub	The agent execution engine	Conversation, AI agent dispatch, fast deployment

The architecture​

Core concepts​

Project and workflow​

• Project: the top-level unit, holding one or more workflows
• Workflow: how an AI application runs, built by connecting processors
• Processor: the smallest unit of execution inside a workflow

Channel and session​

• Channel: the conversation between a user and the AI, identified by customChannelId
• Session: the memory of a conversation within one channel, kept until it is reset by hand

Knowledge base (RAG)​

• Accepts manually uploaded documents, a web crawler and a database loader
• Builds a vector index automatically, for the Retrieve Knowledge processor to query
• Supports segment settings and tag management

How a request flows​

A typical AI conversation request goes through the following.

The processors​

Category	Processor	What it does
Flow	Entry	Where the workflow starts
	Exit	Where the workflow ends
	Router	Conditional branching
Message	Push Message	Sends a message
	Listen Message	Receives user input
Model	LLM Completion	Calls a large language model
	Stream LLM Completion	A streamed AI response
	Generate Embedding	Turns text into vectors
Query	SQL	Queries a database
	Retrieve Knowledge	Searches a knowledge base
Action	Update Context	Updates the value of a variable
	Execute Script	Runs JavaScript
API	HTTP Request	Calls an external API
AutoTool	Validate Payload	Validates the input
	Response	Formats what is returned

Ways to integrate​

Asgard supports several, covered in the integration documentation:

Method	What it is	Where it fits
REST API	Calling the SSE API directly	Back-end integration, a custom front end
Asgard SDK	The JavaScript / React SDK	Getting a web application connected quickly
iFrame	An embedded chat window	Adding chat to an existing site quickly
Bot Platform	LINE / Slack / Discord / Telegram	Messaging platforms
MCP Server	Model Context Protocol	Extending an AI agent's tools

Next​

• Quick start — build your first AI workflow from nothing
• API reference — the full RESTful API
• Processor reference — the specification of every processor