llm-space: a desktop prototyping and debugging environment for AI agent builders

What it solves

LLM Space provides a centralized desktop environment for agent builders to prototype, debug, and evaluate AI agents. It eliminates the need to switch between multiple tools by combining prompt versioning, execution tracing, and performance measurement in one application.

How it works

It functions as a desktop shell (built with Electrobun) that integrates with the Pi Agent Core framework. The app allows users to define prompts, system messages, and tools, then execute them while providing a real-time trace of every model call and tool execution within the agent loop. All data, including API keys and thread history, is stored locally on the user's machine.

Who it’s for

It is designed for developers and agent builders who need a dedicated workspace to iterate on agent logic, inspect internal execution steps to find failures, and measure agent performance across different runs.

Highlights

• Execution Tracing: Real-time visibility into every model call and tool run inside the agent loop.
• Step-through Debugging: Ability to replay historical runs and step through them to identify specific points of failure.
• Local-First Storage: Keeps API keys and thread files on the local computer for privacy and security.
• Prompt Management: Tools to write and version prompts, system messages, and model settings.