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Agent工作流

开源AI工作流

基于 Go · 无代码搭建完整 AI 自动化流程
英文名:adk
⭐ 20 Stars 🍴 1 Forks 💻 Go 📄 MIT 🏷 AI 7.5分
7.5AI 综合评分
workflowa2aa2a-protocola2a-serveradkenterprisego
✦ AI Skill Hub 推荐

开源AI工作流 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析
开源AI工作流 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升,基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化(模拟鼠标键盘操作),AI Agent 工作流通过理解任务意图、动态规划执行路径,能够处理更复杂的非结构化任务。

开源AI工作流 工作流的设计遵循"最小配置,最大复用"原则:核心逻辑已经封装好,用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制,在网络波动或 API 限速等情况下仍能稳定运行,适合作为生产环境的自动化基础设施。

在实际部署时,建议先在测试环境中运行 3-5 次,验证各个环节的输出结果符合预期,再部署到生产环境。AI Skill Hub 评分 7.5 分,是同类 Agent 工作流中的精选推荐。
📋 工具概览

An Agent Development Kit (ADK)允许创建A2A兼容的AI工作流,提高企业AI应用的效率和灵活性。

开源AI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。

GitHub Stars
⭐ 20
开发语言
Go
支持平台
Windows / macOS / Linux(跨平台)
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
7.5 分
工具类型
Agent工作流
Forks
1
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

An Agent Development Kit (ADK)允许创建A2A兼容的AI工作流,提高企业AI应用的效率和灵活性。

开源AI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。

📌 核心特色
  • 可视化 Agent 工作流编排,无需编写复杂代码
  • 支持多步骤自动化任务链,实现全流程无人值守
  • 与外部 API、数据库和第三方服务无缝集成
  • 内置错误处理与自动重试机制,保障稳定运行
  • 提供可复用的自动化模板,快速在同类场景部署
🎯 主要使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:go install(推荐)
go install github.com/inference-gateway/adk@latest

# 方式二:从源码编译
git clone https://github.com/inference-gateway/adk
cd adk
go build -o adk .

# 方式三:下载预编译二进制
# 访问 Releases 页面下载对应平台二进制文件
# https://github.com/inference-gateway/adk/releases
📋 安装步骤说明
  1. 访问 GitHub 仓库获取工作流文件
  2. 在对应平台(Dify / Flowise / Make 等)中找到「导入工作流」功能
  3. 上传工作流文件
  4. 按照提示配置必要的环境变量和 API Key
  5. 运行测试确认流程正常后投入使用
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 查看帮助
adk --help

# 基本运行
adk [options] <input>

# 详细使用说明请查阅文档
# https://github.com/inference-gateway/adk
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# adk 配置说明
# 查看配置选项
adk --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 ADK_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 90/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

Agent Development Kit (ADK)

<p align="center"> <strong>Build powerful, interoperable AI agents with the Agent-to-Agent (A2A) protocol</strong> </p>

⚠️ Early Stage Warning: This project is in its early stages of development. Breaking changes are expected as the API evolves and improves. Please use pinned versions in production environments and be prepared to update your code when upgrading versions.

<p align="center"> <a href="https://github.com/inference-gateway/adk/actions/workflows/ci.yml?query=branch%3Amain"> <img src="https://github.com/inference-gateway/adk/actions/workflows/ci.yml/badge.svg?branch=main" alt="CI Status"/> </a> <a href="https://github.com/inference-gateway/adk/actions/workflows/release.yml"> <img src="https://github.com/inference-gateway/adk/actions/workflows/release.yml/badge.svg" alt="Release"/> </a> <a href="https://github.com/inference-gateway/adk/releases"> <img src="https://img.shields.io/github/v/release/inference-gateway/adk?color=blue&style=flat-square" alt="Version"/> </a> <a href="https://github.com/inference-gateway/adk/blob/main/LICENSE"> <img src="https://img.shields.io/github/license/inference-gateway/adk?color=blue&style=flat-square" alt="License"/> </a> <img src="https://img.shields.io/github/go-mod/go-version/inference-gateway/adk?style=flat-square" alt="Go Version"/> <a href="https://goreportcard.com/report/github.com/inference-gateway/adk"> <img src="https://goreportcard.com/badge/github.com/inference-gateway/adk?style=flat-square" alt="Go Report Card"/> </a> </p>

---

Overview

The A2A ADK (Agent Development Kit) is a Go library that simplifies building Agent-to-Agent (A2A) protocol compatible agents. A2A enables seamless communication between AI agents, allowing them to collaborate, delegate tasks, and share capabilities across different systems and providers.

✨ Key Features

Core Capabilities

  • 🤖 A2A Protocol Compliance: Full implementation of the Agent-to-Agent communication standard
  • 🔌 Multi-Provider Support: Works with OpenAI, Ollama, Groq, Cohere, and other LLM providers
  • 🌊 Real-time Streaming: Stream responses as they're generated from language models
  • 🔧 Custom Tools: Easy integration of custom tools and capabilities
  • 🪝 Callback Hooks: Lifecycle hooks for agent, model, and tool execution with flow control
  • 📎 File Artifacts: Support for downloadable file artifacts with filesystem and MinIO storage backends
  • 🔐 Secure Authentication: Built-in OIDC/OAuth2 authentication support
  • 📨 Push Notifications: Webhook notifications for real-time task state updates
  • ⏸️ Task Pausing: Built-in support for input-required state pausing and resumption
  • 🗄️ Multiple Storage Backends: Support for in-memory and Redis storage with horizontal scaling
  • 📊 Usage Metadata: Automatic tracking of LLM token consumption and execution metrics

Install dependencies

go mod download

📋 Requirements

  • Go: 1.26 or later
  • Dependencies: See go.mod for full dependency list

Installation

go get github.com/inference-gateway/adk

Quick Setup

```bash

Install pre-commit hook

task precommit:install ```

Build-Time Agent Metadata

The ADK supports injecting agent metadata at build time using Go linker flags (LD flags). This makes agent information immutable and embedded in the binary, which is useful for production deployments.

Available LD Flags

The following build-time metadata variables can be set via LD flags:

  • BuildAgentName - The agent's display name
  • BuildAgentDescription - A description of the agent's capabilities
  • BuildAgentVersion - The agent's version number

Usage Examples

Simple A2A Server Example:

package main

import (
	"context"
	"fmt"
	"log"
	"os"
	"os/signal"
	"syscall"
	"time"

	zap "go.uber.org/zap"

	server "github.com/inference-gateway/adk/server"
	config "github.com/inference-gateway/adk/server/config"
	types "github.com/inference-gateway/adk/types"
)

func main() {
	fmt.Println("🤖 Starting Simple A2A Server...")

	// Initialize logger
	logger, err := zap.NewDevelopment()
	if err != nil {
		log.Fatalf("failed to create logger: %v", err)
	}
	defer logger.Sync()

	// Get port from environment or use default
	port := os.Getenv("PORT")
	if port == "" {
		port = "8080"
	}

	// Configuration
	cfg := config.Config{
		AgentName:        "simple-agent",
		AgentDescription: "A simple A2A server with default handlers",
		AgentVersion:     "0.1.0",
		Debug:            true,
		QueueConfig: config.QueueConfig{
			CleanupInterval: 5 * time.Minute,
		},
		ServerConfig: config.ServerConfig{
			Port: port,
		},
	}

	// Build and start server with default handlers
	a2aServer, err := server.NewA2AServerBuilder(cfg, logger).
		WithDefaultTaskHandlers().
		WithAgentCard(types.AgentCard{
			Name:            cfg.AgentName,
			Description:     cfg.AgentDescription,
			Version:         cfg.AgentVersion,
			URL:             fmt.Sprintf("http://localhost:%s", port),
			ProtocolVersion: "0.3.0",
			Capabilities: types.AgentCapabilities{
				Streaming:              &[]bool{true}[0],
				PushNotifications:      &[]bool{false}[0],
				StateTransitionHistory: &[]bool{false}[0],
			},
			DefaultInputModes:  []string{"text/plain"},
			DefaultOutputModes: []string{"text/plain"},
			Skills:             []types.AgentSkill{},
		}).
		Build()
	if err != nil {
		logger.Fatal("failed to create A2A server", zap.Error(err))
	}

	logger.Info("✅ server created")

	// Start server
	ctx, cancel := context.WithCancel(context.Background())
	defer cancel()

	go func() {
		if err := a2aServer.Start(ctx); err != nil {
			logger.Fatal("server failed to start", zap.Error(err))
		}
	}()

	logger.Info("🌐 server running on port " + port)

	// Wait for shutdown signal
	quit := make(chan os.Signal, 1)
	signal.Notify(quit, syscall.SIGINT, syscall.SIGTERM)
	<-quit

	logger.Info("🛑 shutting down...")

	// Graceful shutdown
	shutdownCtx, shutdownCancel := context.WithTimeout(context.Background(), 5*time.Second)
	defer shutdownCancel()

	if err := a2aServer.Stop(shutdownCtx); err != nil {
		logger.Error("shutdown error", zap.Error(err))
	} else {
		logger.Info("✅ goodbye!")
	}
}

See the Docker Support section for containerized builds.

---

For detailed development workflows, testing guidelines, and contribution processes, see the Contributing Guide.

Basic Redis setup

export QUEUE_PROVIDER=redis export QUEUE_URL=redis://localhost:6379

🐳 Docker Support

Build and run your A2A agent application in a container. Here's an example Dockerfile for an application using the ADK:

```dockerfile FROM golang:1.26-alpine AS builder

Build arguments for agent metadata

ARG AGENT_NAME="My A2A Agent" ARG AGENT_DESCRIPTION="A custom A2A agent built with the ADK" ARG AGENT_VERSION="0.1.0"

WORKDIR /app COPY go.mod go.sum ./ RUN go mod download

COPY . . RUN go mod tidy && \ go build -ldflags "-X 'github.com/inference-gateway/adk/server.BuildAgentName=${AGENT_NAME}' -X 'github.com/inference-gateway/adk/server.BuildAgentDescription=${AGENT_DESCRIPTION}' -X 'github.com/inference-gateway/adk/server.BuildAgentVersion=${AGENT_VERSION}'" -o bin/agent .

FROM alpine:latest RUN apk --no-cache add ca-certificates && \ addgroup -g 1001 -S a2a && \ adduser -u 1001 -S agent -G a2a WORKDIR /home/agent COPY --from=builder /app/bin/agent . RUN chown agent:a2a ./agent USER agent CMD ["./agent"]


**Build with custom metadata:**
bash docker build \ --build-arg AGENT_NAME="Weather Assistant" \ --build-arg AGENT_DESCRIPTION="AI-powered weather forecasting agent" \ --build-arg AGENT_VERSION="0.1.1" \ -t my-a2a-agent . ```

Install pre-commit hook

task precommit:install ```

For questions or help getting started, please open a discussion or check out the contributing guide.

🚀 Quick Start

Examples

For complete working examples, see the examples directory:

Getting Started

To run any example:

cd examples/minimal/server
go run main.go

Each example includes its own README with setup instructions and usage details.

🔧 Advanced Usage

For detailed implementation examples and patterns, see the examples directory:

Configuration

Configure your A2A agent using environment variables. All configuration is optional and includes sensible defaults.

Core Server Configuration

VariableDefaultDescription
PORT8080Server port
DEBUGfalseEnable debug logging
AGENT_URLhttp://helloworld-agent:8080Agent URL for internal references
STREAMING_STATUS_UPDATE_INTERVAL1sHow often to send streaming status updates

Agent & LLM Configuration

VariableDefaultDescription
AGENT_CLIENT_PROVIDER-LLM provider (openai, anthropic, groq, etc.)
AGENT_CLIENT_MODEL-Model name (e.g., openai/gpt-4)
AGENT_CLIENT_BASE_URL-Custom LLM endpoint URL
AGENT_CLIENT_API_KEY-API key for LLM provider
AGENT_CLIENT_TIMEOUT30sRequest timeout
AGENT_CLIENT_MAX_RETRIES3Maximum retry attempts
AGENT_CLIENT_MAX_CHAT_COMPLETION_ITERATIONS50Max chat completion rounds
AGENT_CLIENT_MAX_TOKENS4096Maximum tokens per response
AGENT_CLIENT_TEMPERATURE0.7LLM temperature (0.0-2.0)
AGENT_CLIENT_SYSTEM_PROMPT-System prompt for the agent
AGENT_CLIENT_ENABLE_USAGE_METADATAtrueTrack token usage and execution metrics

Agent Capabilities

VariableDefaultDescription
CAPABILITIES_STREAMINGtrueEnable streaming responses
CAPABILITIES_PUSH_NOTIFICATIONSfalseEnable webhook notifications
CAPABILITIES_STATE_TRANSITION_HISTORYfalseTrack state changes

Authentication (Optional)

VariableDefaultDescription
AUTH_ENABLEfalseEnable OIDC authentication
AUTH_ISSUER_URL-OIDC issuer URL
AUTH_CLIENT_ID-OIDC client ID
AUTH_CLIENT_SECRET-OIDC client secret

Task Management

VariableDefaultDescription
TASK_RETENTION_MAX_COMPLETED_TASKS100Max completed tasks to keep (0 = unlimited)
TASK_RETENTION_MAX_FAILED_TASKS50Max failed tasks to keep (0 = unlimited)
TASK_RETENTION_CLEANUP_INTERVAL5mCleanup frequency (0 = manual only)

Storage Configuration (Optional)

VariableDefaultDescription
QUEUE_PROVIDERmemoryStorage backend: memory or redis
QUEUE_URL-Redis connection URL (required when using Redis)
QUEUE_MAX_SIZE100Maximum queue size
QUEUE_CLEANUP_INTERVAL120sHow often to clean up completed tasks

Storage Backends:

  • Memory Storage (Default): Fast in-memory storage for development and single-instance deployments
  • Redis Storage: Persistent storage with horizontal scaling support for production deployments

Redis Configuration Examples:

```bash

Optional: Enable direct downloads (bypasses artifacts server)

export ARTIFACTS_STORAGE_BASE_URL=http://localhost:9000 ```

Benefits of Redis Storage:

  • Persistent Tasks - Tasks survive server restarts
  • Distributed Processing - Multiple server instances can share the same queue
  • High Performance - Redis provides fast task queuing and retrieval
  • Task History - Completed and failed tasks are retained based on configuration
  • Horizontal Scaling - Scale to N number of A2A servers processing the same queue

TLS Configuration (Optional)

VariableDefaultDescription
SERVER_TLS_ENABLEfalseEnable TLS/HTTPS
SERVER_TLS_CERT_PATH-Path to TLS certificate
SERVER_TLS_KEY_PATH-Path to TLS private key

Telemetry (Optional)

VariableDefaultDescription
TELEMETRY_ENABLEfalseEnable OpenTelemetry
TELEMETRY_ENDPOINT-OTLP endpoint URL
TELEMETRY_SERVICE_NAMEa2a-agentService name for tracing

Example Configuration

See configuration examples for complete setup patterns, including environment variables, custom config structs, and programmatic overrides.

📖 API Reference

Core Components

A2AServer

The main server interface that handles A2A protocol communication. See server examples for complete implementation details.

A2AServerBuilder

Build A2A servers with custom configurations using a fluent interface. The builder provides methods for:

  • WithAgent() - Configure AI agent integration
  • WithDefaultTaskHandlers() - Use built-in task processing
  • WithBackgroundTaskHandler() - Custom background task handling
  • WithStreamingTaskHandler() - Custom streaming task handling
  • WithAgentCardFromFile() - Load agent metadata from JSON

See examples for complete usage patterns.

Task Handler Interfaces

The ADK provides two distinct interfaces for handling tasks:

  • TaskHandler - For background/polling scenarios (message/send)
  • StreamableTaskHandler - For real-time streaming scenarios (message/stream)

Streaming handlers require an agent to be configured. See task handler examples for implementation details.

AgentBuilder

Build OpenAI-compatible agents using a fluent interface. Supports:

  • Custom LLM clients
  • System prompts and conversation limits
  • Tool integration
  • Callback hooks (BeforeAgent, AfterAgent, BeforeModel, AfterModel, BeforeTool, AfterTool)
  • Configuration management

See AI-powered examples and callback examples for complete agent setup.

A2AClient

Client interface for communicating with A2A servers. Supports:

  • Task sending and streaming
  • Health monitoring
  • Agent card retrieval
  • Custom configuration

See client examples for usage patterns.

A2A JSON-RPC Methods

Beyond message/send, message/stream, and tasks/get, the client exposes every method in the A2A JSON-RPC surface. Each snippet below is runnable against any ADK-built server; see examples/protocol-methods/ for an end-to-end demo that ties them all together.

tasks/cancel

Cancel an in-flight task. Works for tasks in any non-terminal state (SUBMITTED, WORKING, INPUT_REQUIRED, AUTH_REQUIRED, UNSPECIFIED).

resp, err := a2a.CancelTask(ctx, types.TaskIdParams{ID: taskID})
if err != nil {
    log.Fatalf("cancel failed: %v", err)
}

taskBytes, _ := json.Marshal(resp.Result)
var task types.Task
_ = json.Unmarshal(taskBytes, &task)
log.Printf("cancelled task %s → state=%s", task.ID, task.Status.State)
tasks/list

List tasks the server knows about. Limit controls page size (server caps the limit at 100; default is 50) and Offset controls where the page starts. Iterate until offset >= TotalSize to walk the full result set.

const pageSize = 20
offset := 0
for {
    resp, err := a2a.ListTasks(ctx, types.TaskListParams{
        Limit:  pageSize,
        Offset: offset,
    })
    if err != nil {
        log.Fatalf("list failed: %v", err)
    }

    listBytes, _ := json.Marshal(resp.Result)
    var list types.TaskList
    _ = json.Unmarshal(listBytes, &list)

    for _, t := range list.Tasks {
        log.Printf("  task %s [%s]", t.ID, t.Status.State)
    }

    offset += len(list.Tasks)
    if len(list.Tasks) == 0 || offset >= list.TotalSize {
        break
    }
}

You can also filter by ContextID or by State (e.g. only TASK_STATE_COMPLETED); both fields are optional pointers on TaskListParams.

tasks/pushNotificationConfig/{set,get,list,delete}

Register, inspect, and remove webhook callbacks the server will POST to as a task changes state. The four methods share a common identifier (task.ID) and form a complete CRUD cycle.

configID := uuid.New().String()
authToken := "shared-secret"

// set: register a webhook for the task.
if _, err := a2a.SetTaskPushNotificationConfig(ctx, types.TaskPushNotificationConfig{
    Name: taskID,
    PushNotificationConfig: types.PushNotificationConfig{
        ID:    &configID,
        URL:   "https://example.com/webhook",
        Token: &authToken,
    },
}); err != nil {
    log.Fatalf("set failed: %v", err)
}

// get: read the active config.
if _, err := a2a.GetTaskPushNotificationConfig(ctx, types.GetTaskPushNotificationConfigParams{
    Name: taskID,
}); err != nil {
    log.Fatalf("get failed: %v", err)
}

// list: enumerate every config attached to a task.
if _, err := a2a.ListTaskPushNotificationConfig(ctx, types.ListTaskPushNotificationConfigParams{
    Parent: taskID,
}); err != nil {
    log.Fatalf("list failed: %v", err)
}

// delete: tear the config down.
if _, err := a2a.DeleteTaskPushNotificationConfig(ctx, types.DeleteTaskPushNotificationConfigParams{
    Name: taskID,
}); err != nil {
    log.Fatalf("delete failed: %v", err)
}

Server-side push notifications require CapabilitiesConfig.PushNotifications to be true on the server.

tasks/resubscribe

Re-attach to a streaming task after the original SSE connection has dropped. The server first re-emits the current task state, then forwards any further streaming events as they happen.

events, err := a2a.ResubscribeTask(ctx, types.TaskResubscriptionParams{
    Name: taskID,
})
if err != nil {
    log.Fatalf("resubscribe failed: %v", err)
}
for evt := range events {
    payload, _ := json.Marshal(evt.Result)
    log.Printf("event: %s", string(payload))
}
agent/getAuthenticatedExtendedCard

The JSON-RPC counterpart to the public .well-known/agent-card.json endpoint. The response is the same AgentCard object, but the call passes through the JSON-RPC route and is therefore subject to the server's authentication middleware — useful when the extended card should only be visible to authenticated callers.

resp, err := a2a.GetAuthenticatedExtendedCard(ctx, types.GetAuthenticatedExtendedCardParams{})
if err != nil {
    log.Fatalf("authenticated card fetch failed: %v", err)
}
cardBytes, _ := json.MarshalIndent(resp.Result, "", "  ")
log.Println(string(cardBytes))

Agent Health Monitoring

Monitor agent operational status with three health states:

  • healthy: Fully operational
  • degraded: Partially operational
  • unhealthy: Not operational

See client examples for implementation.

Issues & Questions

🇨🇳 中文文档镜像 AI 翻译 2026-05-23
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

Agent Development Kit (ADK) 是一个 Go 库,简化了构建 Agent-to-Agent (A2A) 协议兼容的代理的过程。A2A 允许 AI 代理之间进行无缝通信,允许它们协作、委托任务和共享能力跨不同系统和提供商。

⚡ 功能介绍

ADK 的关键功能包括:A2A 协议兼容性、多提供商支持、实时流式传输、自定义工具集成和回调钩子。

📋 环境依赖

ADK 的环境依赖和系统要求包括:Go 1.26 或更高版本、依赖项见 [go.mod](./go.mod) 文件。

🛠 安装步骤(Docker/pip/源码)

安装 ADK 可以使用以下命令:go get github.com/inference-gateway/adk

🚀 使用教程

ADK 的快速入门包括:查看示例代码、了解 A2A 协议的基本概念和 ADK 的核心功能。

⚙️ 配置说明(含 MCP / env)

ADK 的配置可以使用环境变量进行配置,包括服务器端口、调试模式和 Redis 存储的 URL。

🔄 工作流/模块

ADK 的核心组件包括 A2AServer 和 A2AServerBuilder,用于构建 A2A 服务器和自定义配置。

❓ FAQ 摘要

ADK 的常见问题包括:如何报告 Bug、哪里可以找到官方文档等。

🎯 aiskill88 AI 点评 A 级 2026-05-23

ADK是一个开源的AI工作流工具,允许创建A2A兼容的AI工作流,提高企业AI应用的效率和灵活性,值得关注。

📚 实用指南(长尾问题)
适合谁
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
部署方案
  • Docker:adk 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 本地部署:CPU 8GB 起,GPU 推荐 16GB+ 显存
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
adk 中文教程adk 安装报错怎么办adk Docker 部署adk Agent 工作流adk 与同类工具对比adk 最佳实践adk 适合谁用
⚡ 核心功能
👥 适合谁
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
👥 适合人群
自动化工程师和运维人员项目经理和业务分析师希望减少重复性工作的专业人士数字化转型团队
🎯 使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
⚖️ 优点与不足
✅ 优点
  • +MIT 协议,可免费商用
  • +大幅减少重复性人工操作
  • +可视化流程,清晰直观
  • +可扩展性强,支持复杂场景
⚠️ 不足
  • 初始配置和调试需投入一定时间
  • 强依赖外部服务的稳定性
  • 复杂场景需具备一定技术基础
⚠️ 使用须知

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。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

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🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合
❓ 常见问题 FAQ
ADK的常见问题,包括安装、使用和兼容性等。
💡 AI Skill Hub 点评

经综合评估,开源AI工作流 在Agent工作流赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 开源AI工作流
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 adk
原始描述 开源AI工作流:An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible 。⭐20 · Go
Topics workflowa2aa2a-protocola2a-serveradkenterprisego
GitHub https://github.com/inference-gateway/adk
License MIT
语言 Go
🔗 原始来源
🐙 GitHub 仓库  https://github.com/inference-gateway/adk

收录时间:2026-05-19 · 更新时间:2026-05-20 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。