Bytedesk/bytedesk

Open Souce IM with AI powered live-chat, email, ticket support, omni-channel customer service，alternative to slack + zendesk/intercom/hubspot/ada/decagon/sierra

What it solves

Bytedesk is an AI-powered omnichannel customer service platform designed to streamline communication between businesses and their customers across multiple channels while facilitating team cooperation.

How it works

It operates as a "Chat as a Service" system that integrates various communication channels (such as social media and shops) into a single admin dashboard. The platform combines traditional customer service tools—like ticket management, a knowledge base, and a call center—with AI capabilities. It uses RAG (Retrieval-Augmented Generation) to allow AI agents to chat using the company's knowledge base and supports function calling and MCP (Model Context Protocol) to interact with other systems.

Who it’s for

Businesses and customer support teams that need a centralized hub to manage customer interactions across text, voice, and video, and those looking to automate responses using AI agents.

Highlights

  • AI Agent Integration: Supports multiple LLMs (Ollama, DeepSeek, ZhipuAI) with RAG and function calling capabilities.
  • Omnichannel Support: Integrates multiple communication channels into one workbench.
  • Comprehensive Service Suite: Includes ticket SLA management, a professional call center based on FreeSwitch, and WebRTC-based video customer service.
  • Knowledge Management: Features internal documentation, a help center, and FAQ systems.
  • Extensibility: Provides a RESTful API and multi-language SDKs for third-party integration.

Related

  • Project
    bytechefhq/bytechef

    ByteChef is an open‑source platform that merges AI‑agent orchestration with visual workflow automation. It offers built‑in agent loops, 250+ pre‑made connectors, multi‑provider LLM support, memory/RAG back‑ends, guardrails, and a Docker‑ready self‑hosted runtime. The free core (Apache 2.0) covers the editor, agents, connectors, and polyglot code; enterprise features add API‑exposed workflows, Git‑native promotion, SSO, and AI‑gateway controls. Quick‑start via Docker Compose gets a local instance running in minutes.

  • Dispatch
    Zendesk and OpenAI: Transitioning to Proactive AI Agents for Customer Service

    Zendesk is piloting a new class of AI agents powered by OpenAI models that use generative reasoning and a multi-agent architecture to automate up to 80% of customer service resolutions.

  • Project
    liangdabiao/langgraph_multi-agent-rag-customer-support

    A multi-agent RAG customer support system built with LangGraph and LangChain that features security guardrails and a human-in-the-loop approval process for sensitive operations.

  • Project
    DEEIX-AI/DEEIX-Chat

    An open-source AI platform that provides a unified interface for model routing, multimodal chat, and enterprise operations like billing and identity management.

  • Project
    labring/tentix

    An AI-native customer service platform that uses RAG and LangGraph agents to automate ticket resolution and reduce human intervention.