Agent Runtime

The Agent class (also exported as AgentRuntime) is the lightweight, stateless agent loop from @cline/agents. It handles the core iteration cycle: send messages to an LLM, execute tool calls, collect results, and repeat until the task is done.

When to Use Agent

Use Agent when...	Use ClineCore instead when...
You want a simple agent with custom tools	You need built-in tools (bash, editor, etc.)
You want minimal dependencies	You need session persistence
You need browser compatibility	You need config discovery from `.cline/`
You're building a stateless worker	You need multi-process session sharing
You want full control over the runtime	You want batteries-included setup

Quick Start

typescript

import { Agent } from "@cline/sdk"

const agent = new Agent({
  providerId: "anthropic",
  modelId: "claude-sonnet-4-6",
  apiKey: process.env.ANTHROPIC_API_KEY,
  systemPrompt: "You are a helpful assistant.",
  tools: [],
})

const result = await agent.run("What is the capital of France?")
console.log(result.outputText)

Core Concepts

The Agent operates in a loop:

Accept user input (string, message, or array of messages)
Build turn context (system prompt, messages, tools)
Call the LLM provider
If the model returns tool calls, execute them and loop back to step 3
If the model returns text without tool calls, the run completes
Emit events throughout for streaming

The agent is stateless in the sense that it does not persist anything to disk. Conversation history is held in memory and can be accessed via snapshot().

Key APIs

new Agent(config) or createAgent(config) - Create an agent
agent.run(input) - Start a run with user input
agent.continue(input?) - Continue an existing conversation
agent.abort(reason?) - Cancel an active run
agent.subscribe(listener) - Listen to streaming events
agent.snapshot() - Get current runtime state
agent.restore(messages) - Replace message history

See api.md for full API details.

Multi-Turn Conversations

typescript

const agent = new Agent({
  providerId: "anthropic",
  modelId: "claude-sonnet-4-6",
  systemPrompt: "You are a helpful assistant.",
  tools: [],
})

const first = await agent.run("What is 2 + 2?")
console.log(first.outputText)

const second = await agent.continue("Now multiply that by 3")
console.log(second.outputText)

Use agent.hasRun to check if a run has already been executed, which determines whether to call run() or continue().

Event Streaming

Use agent.subscribe() to stream events in real time. Register the listener before calling run() to avoid missing early events.

There is no top-level onEvent field on the Agent config. For an async alternative, use hooks.onEvent (see api.md and gotchas.md).

typescript

const agent = new Agent({
  providerId: "anthropic",
  modelId: "claude-sonnet-4-6",
  systemPrompt: "You are a helpful assistant.",
  tools: [],
})

agent.subscribe((event) => {
  if (event.type === "assistant-text-delta") {
    process.stdout.write(event.text)
  }
})

const result = await agent.run("What is the capital of France?")

See events/REFERENCE.md for the full event type catalog.

Next Steps

api.md - Full Agent API reference
patterns.md - Common patterns and best practices
gotchas.md - Pitfalls and debugging
../tools/REFERENCE.md - Creating custom tools
../events/REFERENCE.md - Event system details
../providers/REFERENCE.md - Provider configuration