EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·27d ago·5 min read
Show HN: Panel – A research workspace where the agent can build its own panes
TL;DR
Panel is a new research workspace that integrates chat, files, PDFs, and notebooks, allowing an AI agent to create custom viewers and applications. This early build invites testers to explore its capabilities and provide feedback.
✦ Why It Matters
Test Panel today to enhance your research workflow with integrated AI capabilities.
Key Takeaways
- Install Node 22.18 or newer and pnpm to run Panel.
- Use Claude Code for literature reviews and module interactions.
- Create custom panes for specific file types and tasks.
- Monitor long-running commands and manage workspace layouts effectively.
Full Summary
Panel is a new research workspace that integrates an AI agent to assist users in managing files, chats, and documents like PDFs and Jupyter notebooks. Users can interact with the agent to create custom panes for specific tasks, such as visualizing data or running code.
The workspace supports long-running commands and allows both the user and the agent to edit notebooks simultaneously. It currently operates with Claude Code, which is essential for conducting literature reviews and managing modules.
The architecture includes a data abstraction layer (DAL) that simplifies the interaction between in-memory and filesystem objects, making it easier to manipulate data. However, the system is still in early development, and users may encounter rough edges and limitations, particularly with module functionality.