AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Copilotkit Integrations

skill-copilotkit-skills-copilotkit-integrations · by CopilotKit

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.

No reviews yet
0 installs
37 views
0.0% view→install

Install

$ agentstack add skill-copilotkit-skills-copilotkit-integrations

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-copilotkit-skills-copilotkit-integrations)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
Archived

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Copilotkit Integrations? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

CopilotKit Integrations

Live Documentation (MCP)

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.

  • Claude Code: Auto-configured by the plugin's .mcp.json -- no setup needed.
  • Codex: Requires manual configuration. See the [copilotkit-debug skill](../copilotkit-debug/SKILL.md#mcp-setup) for setup instructions.

Overview

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:

  1. Agent server -- your agent framework runs as an HTTP server (usually FastAPI/uvicorn for Python, or an Express/Next.js route for JS/TS)
  2. AG-UI adapter -- a framework-specific adapter translates between the agent's native interface and the AG-UI wire protocol
  3. CopilotKit runtime -- the Next.js API route creates a CopilotRuntime that connects to the agent via an AG-UI client class
  4. Frontend -- React components use useAgent, useFrontendTool, useRenderToolCall, and useHumanInTheLoop to interact with the agent

Supported Integrations

| 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 |

Decision Tree

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

Common AG-UI Protocol Patterns

Every integration shares these patterns on the frontend side.

CopilotKit Provider (layout.tsx)

import { CopilotKitProvider } from "@copilotkit/react";
import "@copilotkit/react/styles.css";

export default function RootLayout({ children }) {
  return (
    
      {children}
    
  );
}

The agent prop must match the key used in CopilotRuntime({ agents: { my_agent_name: ... } }).

API Route Pattern (route.ts)

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);
};

Shared State (useAgent)

const { state, setState } = useAgent({
  name: "my_agent",
  initialState: { proverbs: [] },
});

Frontend Tools (useFrontendTool)

useFrontendTool({
  name: "setThemeColor",
  parameters: [
    { name: "themeColor", description: "Hex color value", required: true },
  ],
  handler({ themeColor }) {
    setThemeColor(themeColor);
  },
});

Generative UI (useRenderToolCall)

useRenderToolCall({
  name: "get_weather",
  description: "Get weather for a location.",
  parameters: [{ name: "location", type: "string", required: true }],
  render: ({ args }) => ,
}, []);

Human in the Loop (useHumanInTheLoop)

useHumanInTheLoop({
  name: "go_to_moon",
  description: "Go to the moon on request.",
  render: ({ respond, status }) => (
    
  ),
}, []);

Agent-Side State Management

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.

Key Packages

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 -- MCPAppsMiddleware

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.