Show HN: Panel – A research workspace where the agent can build its own panes
summary
Panel is a research-oriented workspace designed to let humans and AI agents collaborate side-by-side through a flexible, pane-based interface. It integrates chat, file management, PDF viewing, and Jupyter notebooks into a single dock to reduce context switching for researchers. By utilizing a module protocol and a data abstraction layer, the system allows for custom visualizations and transparent, long-running agentic workflows.
key points
- The interface uses configurable Panes that can display diverse data types, allowing both users and agents to create custom viewers for specific needs like SQLite visualization.
- A specialized Module Protocol defines typed inputs, outputs, and intermediates, providing observability into an agent's chain-of-thought or progress during complex tasks.
- A data abstraction layer simplifies object manipulation by mapping URIs to either in-memory stores or local files, decoupling the logic from the physical storage.
who should read it
Developers and researchers who need a unified environment for AI-assisted data analysis and literature reviews. It is particularly useful for those who frequently switch between code, notebooks, and documents.
discussion positive
consensus
Commenters generally agree that malleable, AI-generated interfaces are superior to simple chat windows for complex workflows. There is a strong interest in the ability for agents to dynamically create custom panels, data visualizers, and UI components based on the context of the task. Users emphasize the importance of persistence, versioning, and the ability to integrate with external tools like MCP servers to make these tools practical for real-world use.
top insight
The concept of a self-modifying editor that leverages ADHD-driven coding patterns allows for a high degree of flexibility where the agent can alter the IDE's logic, theme, and panels. This approach transforms the IDE from a static tool into a dynamic environment that evolves based on the user's immediate needs, provided a robust undo/redo timeline exists to prevent permanent failure.
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