tgo

Name: tgo
Author: tgoai

Verified

Open-source AI Agent Customer Service Platform. Build AI agent teams with LLM orchestration, RAG knowledge base, multi-channel support, and human collaboration.

527stars

100forks

TypeScript

Installation

# Add to your Claude Code skills
git clone https://github.com/tgoai/tgo

Getting Started

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Security ReportVerified

Last scanned: 5/18/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-18T08:04:08.905Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is tgo?

tgo is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tgoai. Open-source AI Agent Customer Service Platform. Build AI agent teams with LLM orchestration, RAG knowledge base, multi-channel support, and human collaboration. It has 527 GitHub stars.

Is tgo safe to use?

Yes. tgo passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install tgo?

Clone the repository with "git clone https://github.com/tgoai/tgo" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is tgo written in?

tgo is primarily written in TypeScript. It is open-source under tgoai on GitHub, so you can review or fork the full source.

Are there alternatives to tgo?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh tgo against similar tools.

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TGO Introduction

TGO is an open-source AI agent customer service platform dedicated to helping enterprises "Build AI Agent Teams for Customer Service". It integrates multi-channel access, agent orchestration, knowledge base management (RAG), and human agent collaboration.

🚀 Quick Start

One-Click Deployment

Run the following command on your server to check requirements, clone the repository, and start the services:

REF=latest curl -fsSL https://raw.githubusercontent.com/tgoai/tgo/main/bootstrap.sh | bash

For users in China (using Gitee and Aliyun mirrors):
REF=latest curl -fsSL https://gitee.com/tgoai/tgo/raw/main/bootstrap_cn.sh | bash

Local Development

Start the full development environment with Docker Compose:

cp .env.dev.example .env.dev
make dev

Useful variants:

make dev PROFILES=monitoring
make dev DISABLE=tgo-rag-beat,tgo-workflow-worker

For more details, please visit the Documentation.

✨ Features

🤖 AI Agent Orchestration

Multi-Agent Support - Configure multiple AI agents for different business scenarios
Multi-Model Integration - Connect with various LLM providers (OpenAI, Anthropic, etc.)
Streaming Response - Real-time AI responses via SSE for smooth conversation experience
Context Memory - Maintain conversation history for coherent dialogue

📚 Knowledge Base (RAG)

Document Knowledge Base - Upload documents to enhance AI response accuracy
Q&A Knowledge Base - Create question-answer pairs for quick knowledge expansion
Website Knowledge Base - Crawl website content to keep information up-to-date
Smart Retrieval - Vector-based semantic search for precise answers

🔧 MCP Tools Integration

Tool Store - Rich library of MCP tools, enable on demand
Custom Tools - Project-level tool configuration and management
OpenAPI Schema - Auto-parse schemas to generate interactive forms

🌐 Multi-Channel Access

Web Widget - Embeddable chat widget for websites
WeChat Integration - Official Account and Mini Program support
Unified Management - Manage all channels from a single dashboard

💬 Real-time Communication

WuKongIM Integration - Stable and reliable instant messaging
WebSocket Connection - Efficient bidirectional communication
Message Sync - Read/unread status, delivery confirmation
Rich Media - Support for text, images, files and more

👥 Human-AI Collaboration

Smart Handoff - Seamlessly transfer to human agents when needed
Visitor Management - Collect visitor info, assign sessions, track history
Agent Workspace - Unified interface for human agents

🎨 UI Widget System

Structured Display - Render orders, products, logistics as beautiful cards
Rich Components - Order cards, logistics tracking, product display, price comparison
Action Protocol - Standardized URI protocol for interactions

📦 Repository Structure

Repository	Description	Tech Stack
tgo-ai	AI/ML operations service for managing agents, tool bindings, knowledge bases, and usage analytics	Python / FastAPI
tgo-api	Core business logic service handling user management, visitor tracking, assignment, and communication	Python / FastAPI
tgo-cli	CLI tool & MCP Server enabling AI agents to execute customer service operations with 40+ built-in tools	TypeScript / Node.js
tgo-device-agent	Embedded agent running on managed devices providing file and shell capabilities via TCP JSON-RPC	Go
tgo-device-control	Device control service managing TCP/JSON-RPC connections for remote device management with MCP Agent	Python / FastAPI
tgo-platform	Multi-channel message intake service supporting WeChat, Feishu, DingTalk, Telegram, Slack, email, etc.	Python / FastAPI
tgo-plugin-runtime	Plugin lifecycle management and execution service with dynamic tool synchronization	Python / FastAPI
tgo-rag	RAG service providing document processing, hybrid semantic/full-text search, and async processing	Python / FastAPI
tgo-web	Admin frontend with real-time chat, AI agent management, knowledge base, and MCP tool integration	TypeScript / React 19
tgo-workflow	AI Agent workflow execution engine supporting DAG topology with LLM, API, condition, and tool nodes	Python / FastAPI

Widget SDKs

Repository	Description	Tech Stack
tgo-widget-js	Embeddable customer service chat widget (Intercom-style) for websites	TypeScript / React 18
tgo-widget-ios	Native iOS customer service chat SDK with SwiftUI views and UIKit bridging	Swift / SwiftUI
tgo-widget-flutter	Cross-platform customer service chat widget for iOS and Android	Dart / Flutter
tgo-widget-cli	Visitor-facing CLI tool & MCP Server providing customer service interface	TypeScript / Node.js
tgo-widget-miniprogram	WeChat Mini Program chat widget component with AI streaming responses and Markdown rendering	TypeScript

🏗️ System Architecture

Product Preview


Dashboard	Agent Orchestration
Knowledge Base	Q&A Debugging
MCP Tools	Platform Admin

System Requirements

CPU: >= 4 Core
RAM: >= 8 GiB
OS: macOS / Linux / WSL2