Why should you care?

Tool-using agents need a clear kernel, not a pile of ad-hoc HTTP calls.

See it live — copy this example

Run CLI steps in a terminal. Run C# samples in a .NET 8 console or Web API project with Ollama running on localhost:11434.

// Agent Collaboration Patterns — Semantic Kernel style sketch
var builder = Kernel.CreateBuilder();
builder.AddOllamaChatCompletion("phi3:mini", new Uri("http://localhost:11434"));
var kernel = builder.Build();
// Register plugins/tools here for Agent Collaboration Patterns
var answer = await kernel.InvokePromptAsync(
    "You are LocalAIDesk. Be concise. Task: describe Agent Collaboration Patterns in 2 bullets.");

What happened?

• Kernel targets Ollama.
• InvokePromptAsync runs a constrained prompt.
• Plugins (next lessons) add tools.

Practice next

1. Read the example and rewrite it in your own repo.
2. Run it against local Ollama (or finish the Ollama module first).
3. Change one prompt constraint and compare output.
4. Tighten the prompt to 3 bullets max.
5. Log duration of the model call.

Remember

You can explain Agent Collaboration Patterns simply. You have a runnable local sketch. You know one risk to watch.

Agent Collaboration Patterns in LocalAIDesk

Your team applies agent collaboration patterns while building a private agent desk.

Outcome: A concrete next step exists in code or checklist form.