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tgo: AI Customer Support

Get automated customer service with tgo, an open-source AI agent platform for founders, with multi-channel support and human collaboration.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
533 stars103 forksTypeScriptQuality 8/10Updated 7/15/2026100% free · open source
What it is

Use AI to cut support ticket volumes, automatically answering common questions and issues.

What you can make with it

Automations like: an AI assistant that directs customers to a knowledge base when they report a known issue, so customer support gets fewer duplicate tickets.

How it helps

By automating common queries, you free up customer support to focus on complex issues and reduce the time spent on mundane tasks.

Real use case example

"A solo developer is creating a chatbot for his e-commerce site. He sets up this platform, adds a knowledge base, and configures the AI to answer basic product questions. The chatbot directs users to a 'contact us' form for more complex issues, greatly reducing support tickets."

If you're new

Anyone building a basic website or app can use this to create a simple automated support system.

If you're senior

Senior customer support professionals can leverage this platform to integrate AI-powered automations into their existing team workflows.

Common confusion cleared up

Don't confuse this skill with a generic chatbot - it's specifically designed for automating customer support tasks, not building conversational interfaces.

Best inside these AI tools
CursorClaude DesktopGeminiContinue
Pairs with
Claude API'Stripe webhook''Notion database'
Why we list it on WorkflowStacks: This platform is open-source, letting you build AI-powered customer support without a large upfront cost.
What it does

tgo provides automated customer service through an open-source AI agent platform with multi-channel support and human collaboration

Install / run
git clone https://github.com/tgoai/tgo.git && cd tgo
When to use it
  • •When you need to automate customer support across multiple channels
  • •When you require human collaboration with AI agents for complex customer issues
  • •When you want to build AI agent teams with large language model (LLM) orchestration and a retrieval-augmented generator (RAG) knowledge base
Quick start
  1. 1Run npm install to set up the project dependencies
  2. 2Configure the environment variables in the .env file to connect to your channels and services
  3. 3Start the tgo server with npm run start
  4. 4Use the tgo CLI to create and manage AI agents, such as tgo agent create --name myagent
  5. 5Define the agent's knowledge base and LLM orchestration in the config.ts file
Ready-to-paste prompt
tgo agent create --name supportbot --channels whatsapp,facebook --llm huggingface/transformers
Heads up: Make sure you have Node.js version 16 or higher installed, as tgo requires it to run
Saves to your device

Topics

ai-agent
artificial-intelligence
chatbot
customer-service
customer-support
llm
rag
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

22
top-level files
9
folders
45.9M
repo size
Other
license
Key files
AGENTS.md
README_CN.md
README_JP.md
README_RU.md
README_TC.md
README.md
File tree
.githooks/
.github/
.skills/
docs/
docs-site/
repos/
resources/
scripts/
website/
.env.dev.example
.env.example
.gitignore
AGENTS.md
bootstrap_cn.sh
bootstrap.sh
build-bootstrap.sh
docker-compose.cn.yml
docker-compose.dev.yml
docker-compose.tools.yml
docker-compose.yml
LICENSE
LICENSE_CN
Makefile
README_CN.md
Quick Actions
Details
Creator
tgoai
Language
TypeScript
Category
support
Published
11/18/2025

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