Talking to customers · Independent · 24 Oct 2026

tgoai/tgo

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

← Talking to customers

In simple English

This tool lets you build a customer support system run by artificial intelligence. It answers customer questions from your documents and websites. When a question gets too hard, it hands the chat over to a human worker. You can place a chat window on your website or connect it to messaging apps. Running this software requires a server with enough memory to handle multiple connected services.

What it is

An open-source customer service platform that combines multiple artificial intelligence models, document search, and instant messaging. It runs across several connected services managed through a single installation script.

What it is good for

Solo builders and small teams who want an automated help desk that answers customer questions day and night without paying a monthly fee to a commercial service.

Stars640
LicenceCustom
LatestNo tagged releasechecked 24 Oct 2026
Last code change2026-04-28
Written inTypeScript
Setup effort
4 / 5
Payoff
4 / 5
Good
  • Handles customer questions automatically using your own documents and web pages.
  • Switches smoothly from artificial intelligence to human agents when conversations get complicated.
  • Includes chat widgets for websites and mobile apps.
Watch for
  • Needs a powerful server with at least 4 CPU cores and 8 GB of memory to run all services.
  • Setup involves running an automated script that configures multiple Docker containers at once.
  • Uses a custom licence that may restrict certain commercial uses or hosted offerings.
Replaces

Intercom

Works well with

Docker (a way to run a program inside its own sealed box, so it cannot break anything else on your server)

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

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Sales & Customers › Customer Support › Support Agents.

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