TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
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The React library for LLMs
AgnosticUI Local (v2) is a CLI-based UI component library that copies components directly into your project. Works with AI tools, agent-driven UIs, and prompt-ready workflows.
Enterprise UI Components - Grid, Scheduler, Gantt, Kanban & more. Works with Angular, React, NextJS, Vue, Vanilla Javascript and .NET Blazor
- web-components
- angular
- datagrid
- grid
The UI SDK and agent-ready developer toolkit for AI factories, robotics, and autonomous vehicles.
Swagger UI for MCP servers — explore, test, and visualize any Model Context Protocol server with rich components (charts, tables, pipelines). No LLM required.