Research job
One long-running task the user can walk away from: what it is doing now, how far along it is, the sources found, what it has learned so far, and a notify-me toggle. Built from one AI SDK message.
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Related components
MCP server listFeedbackSettings for an agent's MCP servers: connection status with brand marks, a switch per server and per tool, reconnect and sign-in for the ones that dropped, and the active tool names ready for the AI SDK.
Context windowFeedbackA map of what the model is holding: every cell is a share of the token budget, grouped by system prompt, tools, files, conversation, and memory. Drop files, compact the conversation, and pin totals to AI SDK usage.
Run receiptFeedbackWhat an agent run cost and where it went: fresh, cached, and reasoning tokens priced per line, then grouped by step or by tool, with cache savings, built from AI SDK step usage.
shadcn
@shadcn
aisdkagents Looks amazing. A registry of agents makes so much sense. I like this distribution method.
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