# Multi-Agent Patterns Guide
This guide shows how to use multiple agents in CopilotKit — from basic routing to agent-specific tools and shared context.
---
## How Multi-Agent Routing Works
```mermaid
sequenceDiagram
participant React as React App
participant Core as CopilotKitCore
participant Runtime as CopilotRuntime
participant Research as Research Agent
participant Coding as Coding Agent
Note over React: On mount
Core->>Runtime: GET /info
Runtime-->>Core: agents: [{ id: "research" }, { id: "coding" }]
Core->>Core: Create ProxiedAgent for each
Note over React: User picks "research"
React->>Core: useAgent({ agentId: "research" })
Core-->>React: ProxiedAgent(research)
Note over React: User sends message
React->>Core: runAgent({ agent: researchAgent })
Core->>Runtime: POST /agent/research/run
Runtime->>Research: runner.run()
Research-->>React: SSE events
Note over React: User switches to "coding"
React->>Core: useAgent({ agentId: "coding" })
Core-->>React: ProxiedAgent(coding)
React->>Core: runAgent({ agent: codingAgent })
Core->>Runtime: POST /agent/coding/run
Runtime->>Coding: runner.run()
Coding-->>React: SSE events
```
---
## Backend: Register Multiple Agents
```typescript
import { CopilotRuntime } from "@copilotkit/runtime";
import { createCopilotEndpointExpress } from "@copilotkit/runtime/express";
const runtime = new CopilotRuntime({
agents: {
// Each key is the agent ID
default: generalAgent, // Fallback agent
research: researchAgent, // Specialist for research
coding: codingAgent, // Specialist for code
writing: writingAgent, // Specialist for content
},
});
app.use("/api/copilotkit", createCopilotEndpointExpress({ runtime }));
```
The runtime exposes each agent at its own endpoint:
| Agent ID | Run Endpoint |
| ---------- | -------------------------- |
| `default` | `POST /agent/default/run` |
| `research` | `POST /agent/research/run` |
| `coding` | `POST /agent/coding/run` |
| `writing` | `POST /agent/writing/run` |
```mermaid
graph LR
subgraph "Runtime Agent Map"
M["agents: {
default: Agent,
research: Agent,
coding: Agent
}"]
end
subgraph Endpoints
E1["POST /agent/default/run"]
E2["POST /agent/research/run"]
E3["POST /agent/coding/run"]
end
subgraph Agent Instances
A1["General Agent"]
A2["Research Agent"]
A3["Coding Agent"]
end
E1 -->|"agents['default']"| A1
E2 -->|"agents['research']"| A2
E3 -->|"agents['coding']"| A3
```
---
## Frontend: Select an Agent
### React
```tsx
import { useAgent } from "@copilotkit/react-core";
function ResearchPanel() {
// Gets the "research" agent
const { agent } = useAgent({ agentId: "research" });
const sendMessage = async (text: string) => {
agent.addMessage({ id: crypto.randomUUID(), role: "user", content: text });
await copilotKit.runAgent({ agent });
};
return
{/* research UI */}
;
}
function CodingPanel() {
// Gets the "coding" agent
const { agent } = useAgent({ agentId: "coding" });
// ...
}
```
### Using CopilotChat with agent IDs
```tsx
import { CopilotChat } from "@copilotkit/react-core";
function App() {
return (
{/* Two separate chats, each talking to a different agent */}
);
}
```
### Angular
```typescript
@Component({
/* ... */
})
export class MultiAgentComponent {
private copilotKit = inject(CopilotKit);
researchStore = this.copilotKit.getAgentStore("research");
codingStore = this.copilotKit.getAgentStore("coding");
}
```
### Vanilla JS
```typescript
const researchAgent = copilotKit.getAgent("research");
const codingAgent = copilotKit.getAgent("coding");
// Each agent has its own messages, state, and thread
await copilotKit.runAgent({ agent: researchAgent });
await copilotKit.runAgent({ agent: codingAgent });
```
---
## The DEFAULT_AGENT_ID
When you don't specify an `agentId`, CopilotKit uses `"default"`:
```typescript
// These are equivalent:
useAgent(); // Uses "default"
useAgent({ agentId: "default" }); // Explicit
// Your backend must have a "default" agent:
const runtime = new CopilotRuntime({
agents: {
default: myAgent, // This is required if any component omits agentId
},
});
```
---
## Agent Discovery
On mount, the frontend fetches available agents from the runtime:
```mermaid
sequenceDiagram
participant Core as CopilotKitCore
participant Runtime as CopilotRuntime
Core->>Runtime: GET /info
Runtime-->>Core: { agents: { research: { description: "..." }, coding: { description: "..." } } }
Core->>Core: Create ProxiedAgent for each
Core->>Core: Notify subscribers (onAgentsChanged)
```
You can react to agent changes:
```typescript
copilotKit.subscribe({
onAgentsChanged: ({ agents }) => {
console.log("Available agents:", Object.keys(agents));
// e.g. ["default", "research", "coding"]
},
});
```
---
## Agent-Specific Tools
Tools can be scoped to specific agents:
```tsx
// This tool is available to ALL agents
useFrontendTool({
name: "getCurrentTime",
handler: async () => new Date().toISOString(),
});
// This tool is ONLY available to the "research" agent
useFrontendTool({
name: "searchPapers",
agentId: "research",
parameters: z.object({ query: z.string() }),
handler: async ({ query }) => await searchPapers(query),
});
// This tool is ONLY available to the "coding" agent
useFrontendTool({
name: "runCode",
agentId: "coding",
parameters: z.object({ code: z.string(), language: z.string() }),
handler: async ({ code, language }) => await executeCode(code, language),
});
```
```mermaid
graph TB
subgraph "Tool Registry"
GT["getCurrentTime
All agents"]
SP["searchPapers
research only"]
RC["runCode
coding only"]
end
subgraph Agents
RA["research agent"]
CA["coding agent"]
end
GT --> RA
GT --> CA
SP --> RA
RC --> CA
```
---
## Shared Context
Context is shared across all agents by default:
```tsx
function App() {
// Both research and coding agents can see this
useAgentContext("Current user", { name: "Alice", role: "developer" });
useAgentContext("Current project", {
name: "my-app",
language: "TypeScript",
});
return (
<>
>
);
}
```
```mermaid
graph TB
subgraph "Shared Context"
C1["Current user: Alice"]
C2["Current project: my-app"]
end
subgraph Agents
RA["research agent"]
CA["coding agent"]
end
C1 --> RA
C1 --> CA
C2 --> RA
C2 --> CA
```
---
## Thread Isolation
Each agent conversation runs on its own thread:
```tsx
// These are separate conversations with separate histories
```
```mermaid
graph LR
subgraph "Thread: research-1"
RM1["User: Find papers on AI"]
RM2["Agent: Here are 5 papers..."]
end
subgraph "Thread: coding-1"
CM1["User: Write a sort function"]
CM2["Agent: Here's a quicksort..."]
end
RM1 --> RM2
CM1 --> CM2
```
Each thread maintains its own:
- Message history
- Agent state
- Running status
---
## Full Example: Multi-Agent Dashboard
### Backend
```typescript
import { CopilotRuntime } from "@copilotkit/runtime";
import { createCopilotEndpointExpress } from "@copilotkit/runtime/express";
import { BuiltInAgent } from "@copilotkit/runtime/v2";
const agents = {
default: new BuiltInAgent({
model: "openai/gpt-4o",
systemPrompt: "You are a general assistant.",
}),
research: new BuiltInAgent({
model: "openai/gpt-4o",
systemPrompt:
"You are a research specialist. Search for papers and summarize findings.",
}),
coding: new BuiltInAgent({
model: "openai/gpt-4o",
systemPrompt: "You are a coding expert. Write clean, tested code.",
}),
};
const runtime = new CopilotRuntime({ agents });
app.use("/api/copilotkit", createCopilotEndpointExpress({ runtime }));
```
### Frontend (React)
```tsx
import {
CopilotKitProvider,
CopilotChat,
useAgent,
useFrontendTool,
useAgentContext,
} from "@copilotkit/react-core";
import { z } from "zod";
export default function App() {
return (
);
}
// Shared context — all agents see this
function SharedContext() {
useAgentContext("Current project", {
name: "my-saas-app",
stack: "React + Node.js + PostgreSQL",
description: "A SaaS platform for team collaboration",
});
return null;
}
// Research agent with its own tools
function ResearchPanel() {
useFrontendTool({
name: "saveFindings",
agentId: "research",
description: "Save research findings to the knowledge base",
parameters: z.object({
title: z.string(),
summary: z.string(),
sources: z.array(z.string()),
}),
handler: async ({ title, summary, sources }) => {
await knowledgeBase.save({ title, summary, sources });
return "Saved to knowledge base";
},
});
return (
Research Assistant
);
}
// Coding agent with its own tools
function CodingPanel() {
useFrontendTool({
name: "createFile",
agentId: "coding",
description: "Create a new file in the project",
parameters: z.object({
path: z.string(),
content: z.string(),
}),
handler: async ({ path, content }) => {
await fileSystem.write(path, content);
return `Created ${path}`;
},
});
return (
Coding Assistant
);
}
```