Lim Swee Kiat's open-source project Panel gives AI assistants full authority over dockable research workspaces through a typed Module Protocol and a Data Abstraction Layer that bridges local files with memory URIs, letting agents dynamically fabricate custom visualizers and run structured research workflows alongside human operators. The project redefines human-agent collaboration by making the interface itself agent-malleable.
Lim Swee Kiat's open-source project Panel redefines human-agent collaboration by giving AI assistants full authority over dockable research workspaces. Through a typed Module Protocol and a Data Abstraction Layer bridging local files with memory URIs, Panel enables agents to dynamically fabricate custom visualizers and execute structured research workflows alongside human operators.
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