# CopilotKit vs LangUI

CopilotKit records 403,148 monthly visits with +199.4% month-over-month growth and Freemium pricing. LangUI records 1,872 monthly visits with -18% growth and Free pricing.

| Metric | [CopilotKit](https://openaitools.app/tool/copilotkit) | [LangUI](https://openaitools.app/tool/langui) |
| :--- | :--- | :--- |
| Website URL | https://www.copilotkit.ai | https://www.langui.dev |
| Categories | AI Copilot, AI Agent, AI Chatbot, AI Developer Tools | AI Developer Tools, AI UX Design, No-Code&Low-Code, AI Design Assistant |
| Pricing Model | Freemium | Free |
| Monthly Visits | 403,148 | 1,872 |
| MoM Growth Rate | +199.4% | -18% |
| Primary Market | United States | India |
| Direct Visits | 179,258 | 577 |
| Review Score | 4.6 | 4.5 |
| Saved Count | 1 | 2 |
| Supported Platforms | Website | Website |

## CopilotKit

CopilotKit has grown from a simple React component library into what its team calls an enterprise-ready frontend stack for agents. The core idea is unchanged: instead of sending users to a third-party chat window, you drop agent experiences straight into your own interface so the assistant can read live application state, render real charts, forms, or tables with your own components, and trigger actions through your APIs and MCP tools.

The platform is organized around three layers. The first is a component and SDK layer covering React, Angular, Vue, and native mobile targets, offering pre-built chat UIs as well as fully headless primitives for teams that want complete visual control. The second is a protocol layer centered on AG-UI, an open, bi-directional connection between a user-facing app and any agentic backend, with connectors for frameworks such as the OpenAI Agents SDK, Claude Agent SDK, LangChain, Google ADK, AWS Strands, and Mastra. The third is an intelligence layer that captures in-app and in-chat interactions, lets you define learning containers per user, group, or organization, and pushes improvements back into agent skills so quality rises with usage.

Beyond the developer toolkit, CopilotKit ships channels such as Slack, Teams, and WhatsApp, template starting points for use cases like company knowledge bases and customer support, and deployment options ranging from self-hosted installs to Copilot Cloud. Its adoption among large enterprises and a large open-source community make it one of the more established options for teams that need agents embedded in the product rather than bolted on beside it.

**Pricing & Plans:** CopilotKit offers a free open-source tier and a free getting-started path for developers, plus paid cloud and enterprise plans, including self-hosting options. Exact plan prices are listed on the official pricing page.

- **Pre-built and headless UI components:** Ship a working copilot UI in minutes with drop-in components for React, Angular, Vue, iOS, and Android, or go fully headless for total control over rendering.
- **AG-UI protocol and framework connectors:** A general-purpose bi-directional link between your app and any agent backend, with integrations for the OpenAI Agents SDK, Claude Agent SDK, LangChain, Google ADK, AWS Strands, Mastra, and many more.
- **Generative UI inside your product:** Agents return real UI — charts, forms, tables, and approval prompts rendered with your own design system on the same screen the user is already working in.
- **Shared state, frontend tools, and HITL approvals:** Let agents read and write application state, call your frontend functions, and pause for human approval before sensitive actions are executed.
- **Self-learning intelligence and observability:** Captured interactions feed learning containers at the user, group, or organization level, while product analytics show where agents succeed and where users struggle.
- **Multi-channel deployment:** Deploy the same agent stack to your web app, Slack, Teams, WhatsApp, iOS, and Android with consistent behavior and audit trails.

**Strengths:** Open source with a large developer community and active framework coverage; Works with many agent backends through the open AG-UI protocol, avoiding vendor lock-in; Genuinely rich frontend capabilities: generative UI, shared state, frontend tools, and human-in-the-loop approvals; Self-hosting and on-premise options plus enterprise certifications for regulated teams

**Limitations:** Aimed at developers, so non-technical users cannot build with it out of the box; The breadth of SDKs, protocols, and cloud products means a real learning curve; Advanced enterprise features and managed cloud come at a cost, and pricing is quote-based

[Profile (Markdown)](https://openaitools.app/tool/copilotkit.md)

## LangUI

LangUI targets a specific niche that generic component libraries often ignore: the interface patterns that appear in AI products. Prompt boxes, chat bubbles, model selectors, streaming response areas and similar building blocks are exactly what teams building on GPT or other large language models need, and LangUI packages them as ready-to-use Tailwind CSS snippets.

The workflow is deliberately simple. There is nothing to install and no npm package to manage: you browse the catalogue, pick a component, copy the markup and paste it into your codebase. That approach keeps the library framework agnostic, works with any Tailwind setup, and avoids adding weight or version conflicts to your project.

Design quality is a stated priority rather than an afterthought. All components support both light and dark modes, are designed to remain responsive across screen sizes, and follow a two-colour palette of slate and blue that is easy to retheme. The project is MIT licensed, so components can be used freely in personal and commercial work, and component requests are handled through its GitHub repository.

**Pricing & Plans:** Completely free. LangUI is released under the MIT license, so all components can be used in personal and commercial projects at no cost.

- **Copy and paste workflow:** Grab the markup for any component and drop it into your project, with zero dependencies and nothing to install.
- **Purpose-built for AI interfaces:** Components cover the patterns common to GPT and chatbot products, such as prompt inputs, chat layouts and response areas.
- **Light and dark modes:** Every component is designed to look good in both colour schemes out of the box.
- **Fully responsive:** Layouts adapt to different screen sizes so the same component works on mobile and desktop.
- **MIT licensed and open source:** Free for personal and commercial use, with source available on GitHub and a channel for requesting new components.

**Strengths:** Free to use with a permissive MIT license; No installation, no dependencies, no build configuration changes; Components are tailored to AI interfaces rather than generic dashboards; Ships with dark mode and responsive behaviour already handled

**Limitations:** You copy code manually, so there is no versioned package or automatic updates; Being a community open source project, the component count depends on contributor activity

[Profile (Markdown)](https://openaitools.app/tool/langui.md)

## Frequently Asked Questions

### How do CopilotKit and LangUI compare in monthly traffic?

CopilotKit has 403,148 monthly visits, while LangUI has 1,872. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CopilotKit has a month-over-month growth rate of +199.4%; LangUI has -18%.

### How does pricing compare?

CopilotKit: Freemium. CopilotKit offers a free open-source tier and a free getting-started path for developers, plus paid cloud and enterprise plans, including self-hosting options. Exact plan prices are listed on the official pricing page. LangUI: Free. Completely free. LangUI is released under the MIT license, so all components can be used in personal and commercial projects at no cost.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Combines conversational workflow drafting with visual flow builders, focusing on workflow automation rather than frontend copilot embedding. | [.md](https://openaitools.app/tool/activepieces.md) |
| 2 | [CodeGPT](https://openaitools.app/tool/code-gpt) | 170,064 | -19% | Freemium, Paid, Contact for Pricing | IDE extension providing model-agnostic AI coding assistance rather than a frontend UI component library for web applications. | [.md](https://openaitools.app/tool/code-gpt.md) |
| 3 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Focuses on Python-based agent building and deployment rather than frontend React component integration for web applications. | [.md](https://openaitools.app/tool/agno.md) |
| 4 | [ChatBotKit](https://openaitools.app/tool/chatbotkit) | 95,095 | +17.1% | Paid | Delivers a managed platform for building and deploying conversational agents, though less focused on open-source frontend React UI kits. | [.md](https://openaitools.app/tool/chatbotkit.md) |
| 5 | [Kombai](https://openaitools.app/tool/kombai) | 85,231 | -17% | Freemium, Paid, Contact for Pricing | AI design engineer that ships production-ready frontend | [.md](https://openaitools.app/tool/kombai.md) |
| 6 | [Agent-Native](https://openaitools.app/tool/agent-native) | 52,065 | +90.7% | Free | Provides an open-source TypeScript framework where agents and user interfaces share capabilities, aligning with CopilotKit's architecture. | [.md](https://openaitools.app/tool/agent-native.md) |
| 7 | [LocalMode UI - Local-First AI Components](https://openaitools.app/tool/localmode-ui-local-first-ai-components) | 33,428 | +54.7% | Free | Copy-owned React components and blocks that run AI models on-device, with no server and no API key. | [.md](https://openaitools.app/tool/localmode-ui-local-first-ai-components.md) |
| 8 | [Atheros AI Builder](https://openaitools.app/tool/atheros-ai) | 31,264 | +104.3% | Freemium, Paid | Designer-grade UI components and full apps, shipped straight into your stack | [.md](https://openaitools.app/tool/atheros-ai.md) |
| 9 | [Windframe](https://openaitools.app/tool/windframe) | 23,909 | -24.8% | Paid | Design visually in Tailwind CSS and export production-ready code for any framework | [.md](https://openaitools.app/tool/windframe.md) |
| 10 | [Agentkit](https://openaitools.app/tool/agentkit) | 20,332 | +220.6% | Freemium | Custom AI chatbot and support agent builder designed for omnichannel embedding rather than developer framework integration. | [.md](https://openaitools.app/tool/agentkit.md) |

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Source: https://openaitools.app/compare/copilotkit-vs-langui

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