Practical guides to help you build, deploy, and manage your AI agents.Documentation Index
Fetch the complete documentation index at: https://docs.idun-group.com/llms.txt
Use this file to discover all available pages before exploring further.
Quickstart
Deploy your first agent in minutes
LangGraph production deployment
Take a LangGraph agent from notebook to production API
Building a copilot (idun-assistant)
A real internal copilot in ~180 lines + a few clicks
Connect your existing agent
Wrap an existing LangGraph or ADK agent in Idun
Deep Agents with Idun
Wrap a LangChain Deep Agent (planner, virtual filesystem, sub-agents) end to end
Programmatic chat
Drive your hosted agent from a script via /agent/run
Pick a framework
LangGraph or Google ADK adapter reference
Connect MCP servers
Extend the agent with external tools over stdio, SSE, HTTP, or WebSocket
Add guardrails
Protect your agent with safety guards
Set up observability
Trace and monitor agent runs
Configure memory
Persist conversation state across sessions
Deploy to Cloud Run
Single-container deploy with managed Postgres