能力标签
机器人AI工作流
⚙️
Agent工作流

机器人AI工作流

基于 TypeScript · 无代码搭建完整 AI 自动化流程
英文名:robota
⭐ 17 Stars 🍴 1 Forks 💻 TypeScript 📄 MIT 🏷 AI 8.0分
8.0AI 综合评分
AI机器人工作流TypeScript
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,机器人AI工作流 获评「强烈推荐」。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 8.0 分,适合有一定技术背景的用户使用。

📚 深度解析

机器人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。

机器人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 8.0 分,是同类 Agent 工作流中的精选推荐。

📋 工具概览

机器人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
⭐ 17
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
8.0 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」。

机器人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:npm 全局安装
npm install -g robota

# 方式二:npx 直接运行(无需安装)
npx robota --help

# 方式三:项目依赖安装
npm install robota

# 方式四:从源码运行
git clone https://github.com/woojubb/robota
cd robota
npm install
npm start
📋 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
# 命令行使用
robota --help

# 基本用法
robota [options] <input>

# Node.js 代码中使用
const robota = require('robota');

const result = await robota.run(options);
console.log(result);
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
# robota 配置说明
# 查看配置选项
robota --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 ROBOTA_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 52/100 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。

Robota — An adaptable foundation for AI agents

Our agents develop and advance our agents. We are building toward agents that can carry their own development forward on a dependable, adaptable foundation. VISION.md defines this direction; reliable autonomous self-evolution remains an ambition to build and demonstrate.

Today, Robota provides composable TypeScript libraries with strict types, multi-provider support, tool calling and a plugin/event architecture. The SDK and maintained interfaces belong to the same environment. @robota-sdk/agent-cli delivers a terminal agent with coding capabilities, assembled from the same neutral building blocks you can embed in your own application.

Evaluating with an AI agent? Start at llms.txt — the consumer map (minimal package set, capabilities, behavior contracts).

Try the CLI built from these libraries (no install needed)

npx @robota-sdk/agent-cli

Or install globally

npm install -g @robota-sdk/agent-cli robota


**No Node.js? Install the standalone binary** (macOS / Linux / Windows — nothing else required):
bash

What You Can Build With It

- Multi-provider agents with fallback — Anthropic, OpenAI, Google Gemini, DeepSeek, Qwen and Gemma, plus any OpenAI-compatible endpoint. FallbackProvider (agent-framework) moves a turn to another model when the primary is overloaded or failing; the CLI exposes it as --fallback-model. Providers guide - Tools with runtime validation — zod-validated function tools, plus built-in coding tools (shell, read, write, edit, glob, grep, web fetch and search). Building agents - Permissions, hooks and sandboxing — permission modes (plan, default, acceptEdits, bypassPermissions, auto), allow/ask/deny rules, lifecycle hooks, and an OS-level sandbox for shell commands (bubblewrap on Linux/WSL2, Seatbelt on macOS). Permissions and hooks - Sessions and a workspace daemon — saved, resumable and forkable sessions; background sessions that outlive the terminal; and one long-lived runtime per workspace (robota daemon start) that the desktop app and the full terminal UI (robota --attach) connect to. Sessions and daemon - MCP, both directions — connect to MCP servers (stdio or remote, including OAuth sign-in) with agent-mcp, and serve an Robota session as an MCP server with agent-transport-mcp (robota mcp serve). MCP guide - Devices and remote control — link your own devices, send messages and files between sessions, hand a session off to another device, and co-drive a session from a browser over pairing-gated peer-to-peer WebRTC. Devices and remote - Plugins and events — lifecycle plugins for conversation history, logging, usage, limits, performance, error handling, execution analytics and webhooks, on the same plugin contract you can implement yourself. Plugins guide

Quick Start — Embed the Library

The minimal set is agent-core plus one agent-provider-<vendor> package; add agent-tools when the agent calls tools. Published packages need Node.js 22.12 or later.

npm install @robota-sdk/agent-core @robota-sdk/agent-provider-anthropic
import { ConversationAgent } from '@robota-sdk/agent-core';
import { AnthropicProvider } from '@robota-sdk/agent-provider-anthropic';

const agent = new ConversationAgent({
  name: 'MyAgent',
  aiProviders: [new AnthropicProvider({ apiKey: process.env.ANTHROPIC_API_KEY })],
  defaultModel: {
    provider: 'anthropic',
    model: 'claude-sonnet-4-6',
  },
  systemMessage: 'You are a helpful assistant.',
});

const response = await agent.run('Hello!');

Runtime migration and compatibility

Use the CLI coding assistant

```bash

Packages

Every package below is published on npm under @robota-sdk/, and all of them share one version. The packages index on the docs site covers each one.

Start here (embedding):

PackageDescription
[@robota-sdk/agent-core](https://www.npmjs.com/package/@robota-sdk/agent-core)Robota engine: run/runStream, history, tool calling, structured output, plugins
[@robota-sdk/agent-provider-anthropic](https://www.npmjs.com/package/@robota-sdk/agent-provider-anthropic)Anthropic (Claude) provider
[@robota-sdk/agent-provider-openai](https://www.npmjs.com/package/@robota-sdk/agent-provider-openai)OpenAI provider; any OpenAI-compatible endpoint through baseURL
[@robota-sdk/agent-provider-openai-compatible](https://www.npmjs.com/package/@robota-sdk/agent-provider-openai-compatible)DeepSeek, Qwen and Gemma providers, and the shared OpenAI-compatible protocol
[@robota-sdk/agent-provider-gemini](https://www.npmjs.com/package/@robota-sdk/agent-provider-gemini)Google Gemini provider, including image generation
[@robota-sdk/agent-provider-bytedance](https://www.npmjs.com/package/@robota-sdk/agent-provider-bytedance)ByteDance (ModelArk) video-generation provider
[@robota-sdk/agent-tools](https://www.npmjs.com/package/@robota-sdk/agent-tools)Zod-validated function tools, built-in tool factories, sandbox ports

App assembly — sessions, permissions, runtime:

PackageDescription
[@robota-sdk/agent-framework](https://www.npmjs.com/package/@robota-sdk/agent-framework)Assembly layer: InteractiveSession, createQuery(), createAgentRuntime(), config/context loading
[@robota-sdk/agent-session](https://www.npmjs.com/package/@robota-sdk/agent-session)Session: permission-gated tool execution, hooks, context tracking, compaction, persistence
[@robota-sdk/agent-executor](https://www.npmjs.com/package/@robota-sdk/agent-executor)Background task lifecycle, queueing and cancellation; subagent job orchestration
[@robota-sdk/agent-subagent-runner](https://www.npmjs.com/package/@robota-sdk/agent-subagent-runner)Optional runner that executes subagents in child processes
[@robota-sdk/agent-tool-defaults](https://www.npmjs.com/package/@robota-sdk/agent-tool-defaults)The SDK's default tool set (createDefaultTools)
[@robota-sdk/agent-builtin-providers](https://www.npmjs.com/package/@robota-sdk/agent-builtin-providers)Built-in provider definitions (createDefaultProviderDefinitions) and default role models
[@robota-sdk/agent-mcp](https://www.npmjs.com/package/@robota-sdk/agent-mcp)MCP client: server definitions, activation, connections, tool catalog, OAuth sign-in
[@robota-sdk/agent-plugin](https://www.npmjs.com/package/@robota-sdk/agent-plugin)Lifecycle plugins: history, logging, usage, limits, performance, errors, analytics, webhooks
[@robota-sdk/agent-session-analytics](https://www.npmjs.com/package/@robota-sdk/agent-session-analytics)Session-log timing and usage analysis and reports
[@robota-sdk/agent-telemetry-otel](https://www.npmjs.com/package/@robota-sdk/agent-telemetry-otel)OpenTelemetry spans and GenAI metrics for agent runs and live prompt traces, GenAI or agent.* names
[@robota-sdk/agent-process](https://www.npmjs.com/package/@robota-sdk/agent-process)Child-process tree termination (killProcessTree)
[@robota-sdk/agent-file-authority](https://www.npmjs.com/package/@robota-sdk/agent-file-authority)Bounded, root-relative file reads for Node.js

Multi-agent conversation — coordinate independent agents and people in a shared conversation:

PackageDescription
[@robota-sdk/agent-roundtable](https://www.npmjs.com/package/@robota-sdk/agent-roundtable)Selects turns, runs parallel groups, publishes to a shared transcript; no model, no provider
[@robota-sdk/agent-roundtable-robota](https://www.npmjs.com/package/@robota-sdk/agent-roundtable-robota)Runs a Robota Session or plain Robota agent as a roundtable participant or selector

Product composition — build your own product on the same runtime:

PackageDescription
[@robota-sdk/agent-product](https://www.npmjs.com/package/@robota-sdk/agent-product)assembleProduct(profile): a product from a declarative profile
[@robota-sdk/agent-capability-pack](https://www.npmjs.com/package/@robota-sdk/agent-capability-pack)ICapabilityPack contract and mergeCapabilityPacks
[@robota-sdk/pack-coding](https://www.npmjs.com/package/@robota-sdk/pack-coding)The coding capability pack (createCodingPack): coding tools, commands, subagents
[@robota-sdk/agent-command](https://www.npmjs.com/package/@robota-sdk/agent-command)Slash-command modules (/help, /permissions, /mcp, /rewind, …)
[@robota-sdk/agent-preset](https://www.npmjs.com/package/@robota-sdk/agent-preset)Presets (named bundles of framework options) and output styles

Transports and UI — put a session behind a protocol or a screen:

PackageDescription
[@robota-sdk/agent-transport](https://www.npmjs.com/package/@robota-sdk/agent-transport)Carrier-neutral wire protocol, session dispatch and delivery (./client, ./node)
[@robota-sdk/agent-transport-ws](https://www.npmjs.com/package/@robota-sdk/agent-transport-ws)WebSocket carrier
[@robota-sdk/agent-transport-http](https://www.npmjs.com/package/@robota-sdk/agent-transport-http)HTTP carrier (Hono)
[@robota-sdk/agent-transport-mcp](https://www.npmjs.com/package/@robota-sdk/agent-transport-mcp)Serve a session as an MCP server: stdio, loopback HTTP, OAuth-authorized remote HTTP
[@robota-sdk/agent-transport-acp](https://www.npmjs.com/package/@robota-sdk/agent-transport-acp)Serve a session to an editor as an Agent Client Protocol agent over stdio
[@robota-sdk/agent-transport-webrtc](https://www.npmjs.com/package/@robota-sdk/agent-transport-webrtc)Peer-to-peer WebRTC transport for remote control and the device mesh
[@robota-sdk/agent-remote-pairing](https://www.npmjs.com/package/@robota-sdk/agent-remote-pairing)Pairing and DTLS-fingerprint channel binding for peer-to-peer connections
[@robota-sdk/agent-ui-terminal](https://www.npmjs.com/package/@robota-sdk/agent-ui-terminal)Terminal UI (React + Ink)

Contracts — type-only packages shared across layers:

PackageDescription
[@robota-sdk/agent-interface-session](https://www.npmjs.com/package/@robota-sdk/agent-interface-session)Interactive sessions, interaction channels, events, turns, records
[@robota-sdk/agent-interface-session-mobility](https://www.npmjs.com/package/@robota-sdk/agent-interface-session-mobility)Peer messaging and session handoff between sessions and devices
[@robota-sdk/agent-interface-command](https://www.npmjs.com/package/@robota-sdk/agent-interface-command)Commands, command results, plugin adapters, capability descriptors
[@robota-sdk/agent-interface-execution](https://www.npmjs.com/package/@robota-sdk/agent-interface-execution)Background tasks, job groups, subagent jobs, execution workspaces
[@robota-sdk/agent-interface-analytics](https://www.npmjs.com/package/@robota-sdk/agent-interface-analytics)Usage snapshots, per-source totals, run-trace timelines
[@robota-sdk/agent-interface-transport](https://www.npmjs.com/package/@robota-sdk/agent-interface-transport)Transport adapters, admission, access tokens, external events
[@robota-sdk/agent-interface-tui](https://www.npmjs.com/package/@robota-sdk/agent-interface-tui)Terminal UI interaction contracts

Agent interface:

PackageDescription
[@robota-sdk/agent-cli](https://www.npmjs.com/package/@robota-sdk/agent-cli)robota: interactive terminal AI coding assistant, published as a self-contained bundle
🎯 aiskill88 AI 点评 A 级 2026-06-14

高质量的AI工作流框架

📚 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
  • 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)
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
robota 中文教程robota 安装报错怎么办robota Agent 工作流robota 与同类工具对比robota 最佳实践robota 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
  • 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)

👥 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。

🔗 相关工具推荐

📚 相关教程推荐
📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
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❓ 常见问题 FAQ

robota 是一款TypeScript开发的AI辅助工具。开源AI工作流:TypeScript framework for building AI agents — multi-provider (Anthropic, OpenAI,。⭐17 · TypeScript 主要应用场景包括:构建AI代理。
💡 AI Skill Hub 点评

AI Skill Hub 点评:机器人AI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。

⬇️ 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 机器人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 robota
原始描述 开源AI工作流:TypeScript framework for building AI agents — multi-provider (Anthropic, OpenAI,。⭐17 · TypeScript
Topics AI机器人工作流TypeScript
GitHub https://github.com/woojubb/robota
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/woojubb/robota 🌐 官方网站  https://robota.io

收录时间:2026-06-14 · 更新时间:2026-06-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

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