经 AI Skill Hub 精选评估,daytona Agent工作流 获评「强烈推荐」。在 GitHub 上收获超过 72.4k 颗 Star,这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
daytona Agent工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
daytona Agent工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g daytona # 方式二:npx 直接运行(无需安装) npx daytona --help # 方式三:项目依赖安装 npm install daytona # 方式四:从源码运行 git clone https://github.com/daytonaio/daytona cd daytona npm install npm start
# 命令行使用
daytona --help
# 基本用法
daytona [options] <input>
# Node.js 代码中使用
const daytona = require('daytona');
const result = await daytona.run(options);
console.log(result);
# daytona 配置说明 # 查看配置选项 daytona --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export DAYTONA_CONFIG="/path/to/config.yml"
<p align="center"> <a href="https://www.daytona.io/docs"> Documentation </a>· <a href="https://github.com/daytonaio/daytona/issues/new?assignees=&labels=bug&projects=&template=bug_report.md&title=%F0%9F%90%9B+Bug+Report%3A+"> Report Bug </a>· <a href="https://github.com/daytonaio/daytona/issues/new?assignees=&labels=enhancement&projects=&template=feature_request.md&title=%F0%9F%9A%80+Feature%3A+"> Request Feature </a>· <a href="https://go.daytona.io/slack"> Join our Slack </a>· <a href="https://x.com/daytonaio"> Connect on X </a> </p>
Daytona is a secure and elastic infrastructure runtime for AI-generated code execution and agent workflows. Our open-source platform provides sandboxes, full composable computers with complete isolation, a dedicated kernel, filesystem, network stack, and allocated vCPU, RAM, and disk.
Sandboxes are the core component of the Daytona platform, spinning up in under 90ms from code to execution and running any code in Python, TypeScript, and JavaScript. Built on OCI/Docker compatibility, massive parallelization, and unlimited persistence, sandboxes deliver consistent, predictable environments for agent workflows.
Agents and developers interact with sandboxes programmatically using the Daytona SDKs, API, and CLI. Operations span sandbox lifecycle management, filesystem operations, process and code execution, and runtime configuration through base images, packages, and tooling. Our stateful environment snapshots enable persistent agent operations across sessions, making Daytona the ideal foundation for AI agent architectures.
Daytona provides an extensive set of features and tools for interacting with sandboxes.
| Platform | Sandboxes | Agent tools | Human tools | System tools |
|---|---|---|---|---|
| [Organizations](https://www.daytona.io/docs/organizations/) | [Environment](https://www.daytona.io/docs/configuration/) | [Process & code execution](https://www.daytona.io/docs/process-code-execution/) | [Dashboard](https://www.daytona.io/docs/getting-started#dashboard) | [Webhooks](https://www.daytona.io/docs/webhooks/) |
| [API Keys](https://www.daytona.io/docs/api-keys/) | [Snapshots](https://www.daytona.io/docs/snapshots/) | [File system operations](https://www.daytona.io/docs/file-system-operations/) | [Web terminal](https://www.daytona.io/docs/web-terminal/) | [Network limits](https://www.daytona.io/docs/network-limits/) |
| [Limits](https://www.daytona.io/docs/limits/) | [Declarative builder](https://www.daytona.io/docs/declarative-builder/) | [Language server protocol](https://www.daytona.io/docs/language-server-protocol/) | [SSH access](https://www.daytona.io/docs/ssh-access/) | |
| [Billing](https://www.daytona.io/docs/billing/) | [Volumes](https://www.daytona.io/docs/volumes/) | [Computer use](https://www.daytona.io/docs/computer-use/) | [VNC access](https://www.daytona.io/docs/vnc-access/) | |
| [Audit logs](https://www.daytona.io/docs/audit-logs/) | [Regions](https://www.daytona.io/docs/regions/) | [MCP server](https://www.daytona.io/docs/mcp/) | [VPN connection](https://www.daytona.io/docs/vpn-connections/) | |
| [OpenTelemetry](https://www.daytona.io/docs/experimental/otel-collection/) | [Git operations](https://www.daytona.io/docs/git-operations/) | [Preview](https://www.daytona.io/docs/preview/) | ||
| [Integrations](https://www.daytona.io/docs/guides/) | [Pseudo terminal (PTY)](https://www.daytona.io/docs/pty/) | [Custom preview proxy](https://www.daytona.io/docs/custom-preview-proxy/) | ||
| [Security exhibit](https://www.daytona.io/docs/security-exhibit/) | [Log streaming](https://www.daytona.io/docs/log-streaming/) | [Playground](https://www.daytona.io/docs/playground/) |
Daytona is available as a managed service on app.daytona.io. Daytona can run as a fully hosted service, as an open-source stack you operate, or in a hybrid setup where Daytona orchestrates sandboxes while execution happens on machines you manage.
docker directory using Docker ComposeOpen this repository in a devcontainer-compatible editor (VS Code, GitHub Codespaces) for a batteries-included setup with all languages, tools, and supporting services.
from daytona import Daytona, DaytonaConfig
config = DaytonaConfig(api_key="YOUR_API_KEY")
daytona = Daytona(config)
sandbox = daytona.create()
response = sandbox.process.code_run('print("Hello World!")')
print(response.result)
import { Daytona } from "@daytona/sdk";
const daytona = new Daytona({ apiKey: "YOUR_API_KEY" });
const sandbox = await daytona.create();
const response = await sandbox.process.codeRun('print("Hello World!")');
console.log(response.result);
require 'daytona'
config = Daytona::Config.new(api_key: 'YOUR_API_KEY')
daytona = Daytona::Daytona.new(config)
sandbox = daytona.create
response = sandbox.process.code_run(code: 'print("Hello World!")')
puts response.result
package main
import (
"context"
"fmt"
"github.com/daytonaio/daytona/libs/sdk-go/pkg/daytona"
"github.com/daytonaio/daytona/libs/sdk-go/pkg/types"
)
func main() {
config := &types.DaytonaConfig{APIKey: "YOUR_API_KEY"}
client, _ := daytona.NewClientWithConfig(config)
ctx := context.Background()
sandbox, _ := client.Create(ctx, nil)
response, _ := sandbox.Process.ExecuteCommand(ctx, "echo 'Hello World!'")
fmt.Println(response.Result)
}
import io.daytona.sdk.Daytona;
import io.daytona.sdk.DaytonaConfig;
import io.daytona.sdk.Sandbox;
import io.daytona.sdk.model.ExecuteResponse;
public class Main {
public static void main(String[] args) {
DaytonaConfig config = new DaytonaConfig.Builder()
.apiKey("YOUR_API_KEY")
.build();
try (Daytona daytona = new Daytona(config)) {
Sandbox sandbox = daytona.create();
ExecuteResponse response = sandbox.getProcess().executeCommand("echo 'Hello World!'");
System.out.println(response.getResult());
}
}
}
curl 'https://app.daytona.io/api/sandbox' \
--request POST \
--header 'Authorization: Bearer <YOUR_API_KEY>' \
--header 'Content-Type: application/json' \
--data '{}'
Daytona是成熟的AI代码执行基础设施,7.2万星量体现广泛认可。安全沙箱设计和工作流支持完整,适合构建可信AI应用。TypeScript生态友好。
该工具使用 AGPL-3.0 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
⚠️ AGPL 3.0 — 最严格的 Copyleft,网络服务端使用也需开源,SaaS 使用受限。
AI Skill Hub 点评:daytona Agent工作流 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | daytona |
| 原始描述 | 开源AI工作流:Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code。⭐72.4k · TypeScript |
| Topics | AI工作流代码沙箱智能体运行时开源基础设施TypeScript |
| GitHub | https://github.com/daytonaio/daytona |
| License | AGPL-3.0 |
| 语言 | TypeScript |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:AGPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端