deer-flow/llm-space
A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.
What it solves
Agent developers often struggle to prototype ideas, inspect complex execution loops, and debug failures in their agentic workflows. LLM Space provides a centralized desktop environment to manage these processes without needing to build custom internal tooling.
How it works
The application provides a visual interface to write and version prompts, system messages, and tools. It uses the Pi Agent Core framework to execute agent loops, allowing users to trace every model call and tool execution in real-time. Users can replay historical runs to step through specific actions and evaluate performance across different iterations.
Who it’s for
It is designed for agent builders and developers who need a dedicated workspace to prototype, debug, and evaluate LLM-based agentic workflows.
Highlights
- Comprehensive Workflow: Build, trace, debug, and evaluate agents in one interface.
- Local Privacy: All files and API keys are stored locally on the user's machine.
- Agent Generation: Features AI-assisted prompt and tool generation, with the ability to convert threads into runnable LangGraph agents.
- Flexible Deployment: Available as a lightweight system WebView app or a high-performance version with an embedded rendering engine.