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Use when wiring an external agent framework (LangGraph, CrewAI, PydanticAI, Mastra, ADK, LlamaIndex, Agno, Strands, Microsoft Agent Framework, or others) into a CopilotKit application via the AG-UI protocol.
| name | copilotkit-integrations |
| description | Use when wiring an external agent framework (LangGraph, CrewAI, PydanticAI, Mastra, ADK, LlamaIndex, Agno, Strands, Microsoft Agent Framework, or others) into a CopilotKit application via the AG-UI protocol. |
| version | 1.0.0 |
This plugin includes an MCP server (copilotkit-docs) that provides search-docs and search-code tools for querying live CopilotKit documentation and source code. Useful for looking up framework-specific integration details.
.mcp.json -- no setup needed.CopilotKit connects to external agent frameworks through the AG-UI (Agent-UI) protocol -- a streaming protocol that enables bidirectional communication between a frontend CopilotKit application and a backend agent. Every integration follows the same architectural pattern:
CopilotRuntime that connects to the agent via an AG-UI client classuseAgent, useFrontendTool, useRenderToolCall, and useHumanInTheLoop to interact with the agent| Framework | Language | AG-UI Client (route.ts) | AG-UI Server Adapter | Agent Port |
|---|---|---|---|---|
| LangGraph (Python, self-hosted) | Python | LangGraphHttpAgent from @copilotkit/runtime/langgraph | ag-ui-langgraph (add_langgraph_fastapi_endpoint) | 8123 |
| LangGraph (Python, LangGraph Platform) | Python | LangGraphAgent from @copilotkit/runtime/langgraph | LangGraph Platform (managed) | varies |
| LangGraph (JS) | TypeScript | LangGraphAgent from @copilotkit/runtime/langgraph | Built into @copilotkit/sdk-js/langgraph | 8123 |
| CrewAI Flows | Python | HttpAgent from @ag-ui/client | ag-ui-crewai (add_crewai_flow_fastapi_endpoint) | 8000 |
| CrewAI Crews | Python | CrewAIAgent from @ag-ui/crewai | ag-ui-crewai (add_crewai_crew_fastapi_endpoint) | 8000 |
| PydanticAI | Python | HttpAgent from @ag-ui/client | pydantic-ai-slim[ag-ui] (agent.to_ag_ui()) | 8000 |
| Mastra | TypeScript | MastraAgent from @ag-ui/mastra | Built into @ag-ui/mastra | Next.js dev server |
| Google ADK | Python | HttpAgent from @ag-ui/client | ag-ui-adk (add_adk_fastapi_endpoint) | 8000 |
| LlamaIndex | Python | LlamaIndexAgent from @ag-ui/llamaindex | llama-index-protocols-ag-ui (get_ag_ui_workflow_router) | 9000 |
| Agno | Python | HttpAgent from @ag-ui/client | agno (built-in AgentOS with AGUI interface) | 8000 |
| Strands | Python | HttpAgent from @ag-ui/client | ag_ui_strands (create_strands_app) | 8000 |
| Microsoft Agent Framework (Python) | Python | HttpAgent from @ag-ui/client | agent-framework-ag-ui (add_agent_framework_fastapi_endpoint) | 8000 |
| Microsoft Agent Framework (.NET) | C# | HttpAgent from @ag-ui/client | Microsoft.Agents.AI.Hosting.AGUI.AspNetCore (MapAGUI) | 8000 |
| A2A Middleware | Python + TS | A2AMiddlewareAgent from @ag-ui/a2a-middleware | Per-agent (mixed frameworks) | 9000-9002 |
| MCP Apps | TypeScript | BuiltInAgent with MCPAppsMiddleware | N/A (middleware on BuiltInAgent) | 3108 |
Use this to pick the right integration:
Is your agent written in TypeScript/JavaScript?
YES --> Is it a Mastra agent?
YES --> Use Mastra integration (references/integrations/mastra.md)
NO --> Is it a LangGraph JS agent?
YES --> Use LangGraph JS integration (references/integrations/langgraph.md, JS section)
NO --> Use BuiltInAgent with MCP Apps middleware or HttpAgent
NO (Python or .NET) -->
Which framework?
LangGraph --> references/integrations/langgraph.md
CrewAI --> references/integrations/crewai.md
PydanticAI --> references/integrations/pydantic-ai.md
Google ADK --> references/integrations/adk.md
LlamaIndex --> references/integrations/llamaindex.md
Agno --> references/integrations/agno.md
Strands --> references/integrations/strands.md
MS Agent Fw --> references/integrations/ms-agent-framework.md
Multiple agents (A2A) --> references/integrations/a2a.md
Every integration shares these patterns on the frontend side.
import { CopilotKitProvider } from "@copilotkit/react";
import "@copilotkit/react/styles.css";
export default function RootLayout({ children }) {
return (
<CopilotKitProvider runtimeUrl="/api/copilotkit" agent="my_agent_name">
{children}
</CopilotKitProvider>
);
}
The agent prop must match the key used in CopilotRuntime({ agents: { my_agent_name: ... } }).
All integrations create a Next.js API route at src/app/api/copilotkit/route.ts:
import {
CopilotRuntime,
ExperimentalEmptyAdapter,
copilotRuntimeNextJSAppRouterEndpoint,
} from "@copilotkit/runtime";
import { NextRequest } from "next/server";
// Import the appropriate agent class for your framework
const runtime = new CopilotRuntime({
agents: {
my_agent: new SomeAgentClass({ url: "http://localhost:8000/" }),
},
});
export const POST = async (req: NextRequest) => {
const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
runtime,
serviceAdapter: new ExperimentalEmptyAdapter(),
endpoint: "/api/copilotkit",
});
return handleRequest(req);
};
const { state, setState } = useAgent<{ proverbs: string[] }>({
name: "my_agent",
initialState: { proverbs: [] },
});
useFrontendTool({
name: "setThemeColor",
parameters: [
{ name: "themeColor", description: "Hex color value", required: true },
],
handler({ themeColor }) {
setThemeColor(themeColor);
},
});
useRenderToolCall(
{
name: "get_weather",
description: "Get weather for a location.",
parameters: [{ name: "location", type: "string", required: true }],
render: ({ args }) => <WeatherCard location={args.location} />,
},
[],
);
useHumanInTheLoop(
{
name: "go_to_moon",
description: "Go to the moon on request.",
render: ({ respond, status }) => (
<MoonCard status={status} respond={respond} />
),
},
[],
);
On the agent side, shared state is managed differently per framework, but the protocol is the same -- agents emit STATE_SNAPSHOT events to update the frontend. See each integration guide for framework-specific patterns.
Frontend (all integrations):
@copilotkit/react -- hooks (useAgent, useFrontendTool, useRenderToolCall, useHumanInTheLoop) and UI components (CopilotSidebar, CopilotPopup)@copilotkit/runtime -- server runtime (CopilotRuntime, ExperimentalEmptyAdapter)AG-UI client classes (choose one per integration):
@copilotkit/runtime/langgraph -- LangGraphAgent, LangGraphHttpAgent@ag-ui/client -- HttpAgent (generic, works with any AG-UI server)@ag-ui/crewai -- CrewAIAgent@ag-ui/mastra -- MastraAgent@ag-ui/llamaindex -- LlamaIndexAgent@ag-ui/a2a-middleware -- A2AMiddlewareAgent@ag-ui/mcp-apps-middleware -- MCPAppsMiddlewareUse when adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring, provider setup, and first working chat integration.
Use when building custom agent backends, implementing the AG-UI protocol, debugging streaming issues, or understanding how agents communicate with frontends. Covers event types, SSE transport, AbstractAgent/HttpAgent patterns, state synchronization, tool calls, and human-in-the-loop flows.
Use when contributing to the CopilotKit open-source project — forking, cloning, setting up the monorepo, creating branches, running tests, and submitting pull requests against CopilotKit/CopilotKit.
Use when diagnosing CopilotKit issues -- runtime connectivity failures, agent not responding, streaming errors, tool execution problems, transcription failures, version mismatches, and AG-UI event tracing.
Use when building AI-powered features with CopilotKit v2 -- adding chat interfaces, registering frontend tools, sharing application context with agents, handling agent interrupts, and working with the CopilotKit runtime.
Use when migrating a CopilotKit v1 application to v2 -- updating package imports, replacing deprecated hooks and components, switching from GraphQL runtime to AG-UI protocol runtime, and resolving breaking API changes.