LLM Space

LLM Space is a desktop app to prototype agent ideas, inspect execution steps, replay failures, and evaluate performance.

LLM Space v4 is a desktop application designed for agent builders to prototype agent ideas, inspect execution steps, debug failures, and evaluate performance in one place. Users can write and version prompts, system messages, tools, and model settings, trace model calls and tool runs as they happen, and replay runs from history to find errors. The app keeps files and API keys on the local computer while organizing threads as files on the machine. It is built with TypeScript, Bun, Electrobun, React, Tailwind CSS, shadcn/ui, and Pi Agent Core. The project is free, open source under the MIT License, and functions as a sister project to DeerFlow.

LLM Space at a glance

Best for: Software engineer
Runs on: macOS, self-hosted, open source
Pricing: Free and open source under the MIT License
Released: June 2026
Category: AI coding tool
Website: github.com/deer-flow/llm-space

Key features

Write and version prompts, system messages, tools, and model settings
Trace model calls and tool runs inside the agent loop
Replay runs from history and step through them
Measure agent performance across runs
Keep threads organized as files on the local machine
Let AI write prompts and tools or turn threads into runnable LangGraph agents

Use it for

Prototype new agent ideas
Inspect execution steps of agent loops
Debug agent failures by replaying runs
Evaluate agent performance across multiple runs

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