The Enterprise Agentic Frontend Stack
Build rich agentic applications that learn from every interaction.
Self-hostable and built to scale with your org.
Vue
Angular
React
iOS
Android
Slack
Teams
WhatsApp
Streaming &
User
In-App Actions
Automatic
OpenAI
Claude
LangChain
Google
AWS
Mastra+18 more agents
Start from a real agent experience, then make every interaction look and feel like your product.
Connect the sources your company already trusts. Give every employee one agent that can answer with citations, analyze across systems, and prepare the next action.
Your agent acts inside the product, learns from real use, keeps every action auditable, and stays open to your stack.
Ask a question and get back a real chart or form, rendered with your components on the same live screen as your users. The agent can take action through your APIs and MCP tools, or directly in your frontend, and whatever it changes stays changed.
Every interaction becomes a signal. The agent improves as people use it instead of depreciating like static software.
Keep a complete record of every action. Your data stays yours, whether you self-host or use Copilot Cloud.
CopilotKit is not a bet on one framework. Agent frameworks and harnesses across the ecosystem already connect through AG-UI.
Drop in a ready-made agent interface, adapt it with your design system and existing app components, or build with low-level, headless APIs for full programmatic control.
import { CopilotKit, CopilotChat }
from "@copilotkit/react-core/v2";
import "@copilotkit/react-core/v2/styles.css";
export function App() {
return (
<CopilotKit runtimeUrl="/api/copilotkit">
<CopilotChat agentId="support"
className="acme-chat" />
</CopilotKit>
);
}
React
Turn real usage into a controlled learning loop that makes agent quality and speed rise while cost falls.
Quality ↑
Speed ↑
Cost ↓Illustrative trends: quality and speed rise while cost falls as user interactions accumulate. These curves are conceptual, not measured performance data.
Follow each production interaction from captured signal to a safer, more capable agent.
In-app interactions. What users do in your app: clicks, edits, and navigation outside the chat.
Agent-user interactions. The back-and-forth with the agent: ask, feedback signals, approvals, edits, retries.
Self-learning lets you define learning containers for users, groups of users, or entire organizations.
Per user
Per group of users
Per organizationSelf-improving skills are automatically adopted by your agents.
analytics-skill.mdimprovedsearch-skill.mdcreatedExport datasets to fine-tune custom models.
JSONSee what users try, where they succeed, where they struggle, and what to improve next.
Runs
Tool calls
Avg. response time
See which jobs users attempt, the paths they take, and where they abandon or ask for help.
Connect agent interactions to task completion, adoption, satisfaction, and key product outcomes.
Identify where users succeed, struggle, retry, or hand off so you know what to improve next.
CopilotKit adds the product view: what users try, where they succeed, and where they get stuck.
Your agent acts inside the product, learns from real use, keeps every action auditable, and stays open to your stack.
Self-host both the open-source SDK and the enterprise runtime. Nothing leaves your infrastructure. Or use our managed Cloud for added convenience.
AG-UI works with the stacks your teams use today, and whatever they adopt next.
No new data store to trust. Everything persists in the database you already run.
Use observed outcomes and human feedback to improve prompts, routing, workflows, and UI behavior while you own the learning loop.
From a Series A in TechCrunch to a hands-on course on DeepLearning.AI, CopilotKit is shaping the next wave of AI agent interfaces.
TechCrunch covers our Series A and how we're scaling the open-source AG-UI protocol and helping developers embed AI agents directly inside their applications.
Read the article
CEO Atai Barkai teaches a hands-on short course on building fullstack agents that render rich, interactive UI on demand with CopilotKit and AG-UI.
Take the course
Atai joins Google Cloud Tech to walk through A2UI, AG-UI, MCP Apps, and the protocols making in-app generative UI work across any agent.
Watch the talk
“The CopilotKit SDK has accelerated our development processes and enabled us to help our users accomplish their tasks more quickly and with more confidence.”
Docusign
“The AG-UI architecture lets us cleanly decouple our agent framework from the frontend, so we can evolve each independently. The pre-built component library saved us from rolling our own.”
Evergreen Wealth
Start building
