ZChat self-hosted is now DChat. Same product, same licence, new name - existing installs keep working.
The main package includes the installable server, embeddable widget, web dashboard, native agent workflow, SQL install scripts, and deployment docs. Evaluate the real product locally first, then move into production on your own server - live chat is free there too, with no licence file.
Recommended path
Start with the full DChat installation package.
Most teams only need one download to evaluate the real product story: self-hosted deployment, live chat workflow, desktop and browser tools, and optional AI support.
Included
Installable server
The core self-hosted runtime for production and evaluation.
Web dashboard
Browser-based admin and operator control surface.
Desktop agent flow
Native Windows workflow for teams that live in support.
Optional
AI providers
Use Ollama, OpenAI, or Anthropic on your own terms.
Most evaluations should begin with the main DChat package. The API sample is there when your team wants to explore custom integration work in parallel.
1. Core package
The main download includes the self-hosted server, embeddable widget, web dashboard, agent workflow, and deployment guidance. This is the package to use for technical validation, internal pilots, and production rollout planning.
Version
2.0.9
Released
2026-10-03
Package size
46.2 MB
This is the production package, not a hosted sandbox or a time-limited trial. Live chat is free with unlimited agents and unlimited domains and the download ships no licence file; a licence is only needed if you add the AI assistant.
2. Reference sample
Use the API docs to explore CRM links, front-end experiments, or custom workflow automation while the core product is being evaluated.
A standalone API sample package is not published yet. Start with the main product download and review the docs in parallel.
Need the docs too? Open the API documentation.
Included experience
A dedicated Windows workflow for teams that need notifications, presence handling, and a support console that feels like real software instead of another browser tab.
A separate download, so the server package stays small. Unzip and run ZChat.Agent.exe; nothing else to install. Windows 10 (1809) or newer, 64-bit.
Download the Windows app (85.1 MB)
The browser dashboard covers chats, agents, departments, transcripts, visitor visibility, and configuration from any modern browser.
Included in the main installation package and ready for teams that want browser-based administration from day one.
Instead of piecing together chat delivery, operator tooling, and AI separately, DChat keeps the deployment and day-to-day workflow aligned inside one installable product.
Embeddable website widget
Add live chat to any website with a script tag and control branding, routing, and behavior yourself.
Real-time backend
Real-time transport powers live chat, presence, typing, and handoff without relying on a hosted vendor runtime.
Admin and operator surfaces
Manage teams, transcripts, settings, and conversations from the web console or desktop app.
AI-ready support layer
Connect Ollama for local inference or wire in OpenAI and Anthropic with existing provider accounts.
DChat is intentionally flexible so deployment can follow your operational reality instead of forcing a single hosting answer.
Ideal for teams already running IIS, SQL Server, and Microsoft-first operations.
Run behind Nginx or your preferred reverse proxy on modern Linux hosts.
Available when your team wants container packaging without making containers the only story.
Azure, AWS, or a VPS all work when you need hosted infrastructure that remains under your control.
If you need validation help during testing or a faster path into production, the DChat team can help you plan the install and unblock the rollout.
DChat gives you the installable server, web dashboard, website widget, and desktop agent tools in one self-hosted product, with live chat free to run, and an AI agent that answers, acts with the approvals you set and hands off to your team when you want one. Run it on infrastructure you trust, on the model you choose.
Deployment
Install on Windows or Linux, behind IIS or Nginx, in a VM, or in Docker if that fits your stack.
Commercial model
Live chat is free with unlimited agents. Premium, with the AI agent, is billed per agent per month, never per conversation.
AI Flexibility
Run the AI agent on a local Ollama model, or connect OpenAI and Anthropic with your own provider accounts.