简体中文 | English

This is a software with only one executable file, including a visual process editor and a response system.

• 🛒 Light Only ONE executable file, it can run smoothly on laptops without GPUs (data files will be created at runtime automatically).
• 🐱‍🏍 AI powered Integrated Huggingface local model, Ollama and OpenAI, this can be used for Chat, Text generation and Intent detection.
• 🚀 Fast Built on Rust and Vue3.
• 😀 Simple Use the mouse to drag and drop with our intuitive node-based editor.
• 🔐 Safe 100% open source, all runtime data is saved locally (Using OpenAI API may expose some data).

• 🐋 Docker We provided an image on Docker Hub at dialogflowchatbot/demo
• 💻 Binary releases, please check here

By default application will listen to 127.0.0.1:12715, you can use -ip and -port specify new value, e.g.: dialogflow -ip 0.0.0.0 -port 8888

https://dialogflowchatbot.github.io/

Node	Name
	Dialog Node
	Large language model chat node
	Knowledge base answer node
	Conditions node
	Goto node
	Collect node
	External HTTP node
	Send email node
	The end node

Using the different nodes above, to arrange and combine, you can get a conversational bot that can handle problems in different scenarios.

Like this

1. docker pull dialogflowchatbot/demo
2. docker run -dp 127.0.0.1:12715:12715 --name dialogflowdemo dialogflowchatbot/demo
3. Open your browser and visit: http://127.0.0.1:12715/

1. From Github release page, depending on the operating system, download the application.
2. Run it directly, or use the -ip and -port parameters to perform the listening IP address and port, e.g.: dialogflow -ip 0.0.0.0 -port 8888.
3. Open your browser and visit http://localhost:12715 (by default) or http://new IP:new port to see the application in action
4. Add a main flow and click its name into it
5. Create dialog flow by dragging and drop nodes onto canvas
6. Test it