Chat4Us Latest Release
Below is the latest release of Chat4Us components binaries hosted by GitHub and SourceForge. Source code is also hosted there and available for download. After following the installation guide, you can then create your first chat bot.
For those who already installed Chat4Us-Creator and needs to upgrade to the latest release, download chat4us-creator-setup.zip
 chat4us-creator.zip | chat4us-agent.zip |
|---|---|
| Version: 0.5.16 Release date: 11-18-2025 Size: 66.4MB | Version: 0.1.25 Release date: 10-23-2025 Size: 37.0MB |
| New simplified distribution packages include an extract-and-go archive for fresh installations and an installable archive for a guided setup, ideal for updates. AI context size is now configurable per chat server. The internal chat client offers authentication-free chatbot testing. RIA Editor enhancements bring better user experience, along with major improvements and bug fixes. | – Initial release |
Chat4Us Sample Projects
Below is the list of chat bots web and software clients source projects that are provided here for educational purposes to let developpers create their own Chat4Us clients that can connect remote users to chat flows.
chat4us-web-client.zip contains a chat bot web client project developped using HTML, CSS, JS and PHP. On the other hand chat4us-software-client.zip contains an Eclipse IDE java project. The following tutorial shows how to develop your own chatbot client.
| chat4us-web-client.zip | chat4us-software-client.zip |
|---|---|
| Size: 41KB Last updated: 11-29-2025 | Size: 572KB Last updated: 11-05-2025 |
Java 21 LTS
Chat4Us and its related components needs java 21 or higher installed to run on your machine. If not already installed, please do so. You can download Java Temurin LTS here.
GPT4All
An open-source free software that can run many AI language models on local machines and servers. No internet or GPU needed. Download here.
Advanced users can install the CLI version of GPT4All as it runs faster and use less OS/hardware resources.
Ollama
A powerful alternative to GPT4All, this approach provides access to a much broader selection of models, suitable for operation across a wide variety of machines – from low-powered devices to high-performance systems. The models themselves vary greatly in scale, encompassing everything from relatively modest 2 billion parameter models to exceptionally large 120 billion parameter options, giving users considerable control over performance based on their hardware. Downlood here.