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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open-source AI Agent Customer Service Platform. Build AI agent teams with LLM orchestration, RAG knowledge base, multi-channel support, and human collaboration.
| Date | Stars |
|---|---|
| 2026-07-31 | 559 |
| 2026-08-06 | 575 |
Today
+16 stars today
This week
— stars this week
This month
— stars this month
Momentum
14.0
growth rate 0.00%/day
<p align="center"> <img src="resources/readme-banner-en.svg" width="100%" alt="Build AI Agent Teams for Customer Service"> </p> <p align="center"> <a href="./README.md">English</a> | <a href="./README_CN.md">简体中文</a> | <a href="./README_TC.md">繁體中文</a> | <a href="./README_JP.md">日本語</a> | <a href="./README_RU.md">Русский</a> </p> <p align="center"> <a href="https://tgo.ai">Website</a> | <a href="https://tgo.ai">Documentation</a> </p> ## 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. <img src="resources/home_en.png" width="100%"> ## 🚀 Quick Start ### One-Click Deployment Run the following command on your server to check requirements, clone the repository, and start the services: ```bash REF=latest curl -fsSL https://raw.githubusercontent.com/tgoai/tgo/main/bootstrap.sh | bash ``` > **For users in China** (using Gitee and Aliyun mirrors): > ```bash > 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: ```bash cp .env.dev.example .env.dev make dev ``` Useful variants: ```bash make dev PROFILES=monitoring make dev DISABLE=tgo-rag-beat,tgo-workflow-worker ``` --- For more details, please visit the [Documentation](https://tgo.ai). ## ✨ 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](repos/tgo-ai) | AI/ML operations service for managing agents, tool bindings, knowledge bases, and usage analytics | Python / FastAPI | | [tgo-api](repos/tgo-api) | Core business logic service handling user management, visitor tracking, assignment, and communication | Python / FastAPI | | [tgo-cli](repos/tgo-cli) | CLI tool & MCP Server enabling AI agents to execute customer service oper
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:472c92f64681af1e, topic:ai-agent, desc:ai agent
matched fp:472c92f64681af1e, topic:llm
matched fp:472c92f64681af1e, topic:rag, desc:knowledge base
matched fp:472c92f64681af1e, topic:chatbot