Creating an agent orchestration

Agent Platform
1

Hi,
I thought I will be able to create a multi agent system using Gale. But it looks like it only allows creation of agents. Is there a way to create a multi agent system similar to how we can do through langgraph. Also how is shared persistent state and memory managed through gale.

2

Hi Rajib,

Great question! You’re absolutely right that the platform is designed for multi-agent orchestration, similar to LangGraph patterns. Here’s how it works:

Multi-Agent Architecture The Kore.ai Agent Platform is specifically built for multi-agent systems using the Supervisor Pattern. You build individual agents focused on specific domains (like HR policies or sales data), then use a Supervisorto coordinate them into a unified system.

How the Supervisor Pattern Works:

  1. Build Specialized Agents - Create domain-specific agents with deep expertise
  2. Deploy the Supervisor - Acts as the central orchestrator that manages and coordinates multiple AI agents
  3. Intelligent Coordination - The supervisor breaks down complex requests into smaller subtasks, delegates them to appropriate specialized agents, then aggregates results into a unified response

The supervisor handles task decomposition, agent selection, parallel execution coordination, conflict resolution, and response synthesis—exactly the kind of orchestration you’d see in LangGraph.

Supporting Documentation:

So yes, you can definitely create the LangGraph-style multi-agent system you’re looking for using our Supervisor Pattern!

Hope this helps clarify the approach.

3

Thanks Scott, so it will be a LLM that will always determine the orchestration. Is there a way to do control flow engineering more like a deterministic workflow type of approach where I as a human decide the flow in a pre-defined graph