NexUI Agentic UI Components

Component system for agent pipelines, chat, and artifacts
16 nodes

/projects/nexui

NexUI Agentic UI Components

07

A ShadCN-compatible component library for agentic products: chat interfaces, tool-call status, artifact panels, orchestration views, streaming UI, and MCP-aware interaction patterns.

Project context05

Problem

Agent products repeatedly rebuild the same UI patterns: chat composers, tool status, approval controls, artifact panels, pipeline stages, and orchestration graphs.

Solution

NexUI packages agentic UI components for ShadCN-style apps, giving teams reusable primitives for chat, tools, artifacts, approvals, streaming state, and MCP-aware workflows.

Challenges

Agent UI has to expose enough state to be trustworthy without becoming a raw log viewer. It also needs compact controls that work across repeated operational workflows.

Innovation

The library treats agent state as a design-system concern. Tool calls, approvals, artifacts, and pipelines become reusable interface components rather than one-off screens.

Domain expertise

This highlights Stefan's product-design fluency for agent systems: dense interfaces, artifact UX, streaming states, human-in-the-loop controls, and componentized workflow views.

Case study evidence11

Outcomes

  • Speeds up the creation of polished agent products.
  • Makes tool calls, approvals, and artifacts visible without overwhelming users.
  • Creates a reusable UI vocabulary for AI agent workflows.

Architecture decisions

  • Design tokens and primitives support consistent dense workflow surfaces.
  • AI SDK and MCP integration lanes connect components to live agent state.
  • Artifact and pipeline views keep multi-step work inspectable.

Domain expertise signals

Agent UIShadCNArtifactsHITL controlsStreaming UX
Technical deep dive09

NexUI treats agent UX as a reusable system. Chat, tool calls, approvals, artifacts, pipelines, and orchestration maps are recurring product surfaces that deserve components, not one-off screens.

Agent state as UI

Users need to understand what an agent is doing without reading raw traces. Tool status, approvals, and progress components translate runtime state into product state.

Artifacts beside chat

Serious agent products create durable outputs. Keeping artifacts visible beside the conversation lets users inspect results while asking follow-up questions.

Workflow density

Agent products are often operational tools, not marketing pages. The component system supports dense, scannable, repeated workflows such as pipeline steps and orchestration graphs.

Integration posture

AI SDK and MCP affordances connect UI primitives to live streams and external tool ecosystems, which keeps frontend design aligned with the agent runtime.

What this proves

  • Reusable chat and artifact primitives
  • Tool-call status and approval controls
  • Pipeline and orchestration views
  • AI SDK and MCP oriented UI states
5surface families
1agent UI system
Ncomponents
2integration lanes
100%icon-first controls
0blank agent states
Technology stack06
TypeScript

TypeScript

Agent UI state is complex enough that typed props and variants matter.

React

React

Fits composable chat, artifact, pipeline, and control surfaces.

Next.js

Next.js

Targets modern app-router agent products and server-backed streams.

Tw

Tailwind CSS

Keeps the component library easy to theme inside ShadCN-compatible apps.

sh

ShadCN

Provides a familiar copy-in component pattern for production apps.

AI SDK

AI SDK

Aligns UI states with standard streaming and tool-call protocols.

Tools implemented08

Chat composer

Handles message input, attachments, and mode controls for agent products.

Thread renderer

Displays streamed assistant output and rich inline content.

Tool status components

Expose progress without leaking raw tool internals.

Approval controls

Support human-in-the-loop UX for sensitive actions.

Artifact side panel

Keeps generated outputs visible while the user continues the conversation.

Pipeline view

Shows multi-step and multi-agent execution as a readable workflow.

Orchestration graph

Maps dependencies and tool calls for complex agent systems.

MCP affordances

Gives connector and tool ecosystems visible product states.

Stefan Creadore · @Eldergenixproduction agent systems mapped end to end