ChatBot
AI chatbot builder to automate customer support and lead capture across channels
Bytedesk
AI‑powered omnichannel chat platform for teams and support
A unified solution delivering AI‑enhanced live chat, ticketing, knowledge base, voice and video support across multiple channels, with team collaboration tools.
Overview
Highlights
Omnichannel routing with AI‑driven suggestions
Integrated ticketing with SLA tracking and analytics
AI agents supporting RAG, function calling, and multiple LLM backends
Built‑in voice (FreeSwitch) and video (WebRTC) call centers
Pros
- Comprehensive feature set covering chat, voice, video, and AI
- Modular architecture allows selective deployment
- Docker‑first deployment simplifies setup
- Extensive SDKs for many platforms
Considerations
- BSL license restricts resale as a hosted service
- Complexity may require dedicated admin expertise
- Enterprise modules increase resource consumption
- Documentation may be fragmented across repositories
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Fit guide
Great for
- Mid‑size to large enterprises needing unified support channels
- Teams that require internal IM combined with customer service
- Organizations wanting to embed AI assistants into support workflows
- Developers seeking customizable SDKs for web, mobile, and desktop
Not ideal when
- Startups with minimal support needs and limited ops budget
- Businesses that must host a SaaS offering without licensing constraints
- Projects requiring a lightweight single‑channel chat widget
- Teams lacking Java/Maven expertise for on‑premise customization
How teams use it
Customer support center
Agents handle web, social, and phone inquiries from a single dashboard, with AI‑suggested replies and automated ticket creation.
Internal team collaboration
Employees use TeamIM for role‑based chat, file sharing, and project workflows, reducing reliance on separate messaging tools.
AI‑augmented knowledge base
Customers query the RAG‑enabled AI agent, receiving answers drawn from internal docs and FAQs, lowering ticket volume.
Video product demos
Support reps launch high‑definition WebRTC video calls with screen sharing to guide users through complex setups.
Tech snapshot
HTML59%
Java26%
JavaScript6%
CSS4%
FreeMarker2%
SCSS1%
Frequently asked questions
What deployment options are available?
Bytedesk can be launched via Docker Compose, Baota scripts, or direct source compilation; Kubernetes manifests are also provided in the deploy folder.
Which programming languages are supported for integration?
RESTful APIs and SDKs are offered for Java, JavaScript/TypeScript, Python, Flutter, iOS, Android, and other platforms.
Is the platform suitable for SaaS providers?
The Business Source License prohibits selling or hosting Bytedesk as a commercial service without permission, so SaaS resale is not allowed.
How does the AI agent work?
It connects to LLM backends such as Ollama, DeepSeek, or ZhipuAI, supports retrieval‑augmented generation from the knowledge base, and can invoke functions via tool calling.
What licensing governs the code?
The core repository is released under AGPL‑3.0, with additional BSL‑1.1 terms that restrict resale and hosting as a service.
Project at a glance
Active- Stars
- 356
- Watchers
- 356
- Forks
- 100
LicenseAGPL-3.0
Repo age2 years old
Last commit4 days ago
Primary languageHTML
Last synced 2 days ago