Current Version: NET8
SlickFlow: Intelligent Workflow Automation with Large Language Models
SlickFlow now integrates cutting-edge Large Language Model (LLM) nodes, empowering your workflows with advanced conversational reasoning and intelligent automation capabilities. This enhancement transforms traditional workflow systems into dynamic, AI-driven orchestration platforms.
Seamlessly incorporate LLM nodes directly into your workflow diagrams. Configure and connect AI-powered steps alongside traditional business logic for end-to-end intelligent automation.
Flexible integration with leading AI services:
Upload and process images directly through LLM nodes
Enhance LLM responses with real-time data retrieval from your knowledge bases
AI Image Classification Process Demo:

In the command console, using the command npm install to download the node package.
Note: Please run the command in the ClientApp path of the sfd project.
Set up the sfdapi project which is an asp.net webapi type project. (IIS is a choice)
Setting webapi variable in the kconfig.js file
kconfig.webApiUrl = "http://localhost/sfdapic/" //your sfd webapi backend service url
In the command console, using the command npm run dev to start the project
Access the web project in the browser by http://localhost:5000
Slickflow can use AI deepseek service to generate BPMN flow chart through text description by users. Large model nodes also participate in business processes as intelligent nodes in the process sequence, completing the functions of intelligent generation and intelligent decision-making.
Slickflow is an open-source project based on .NET8; It’s easy to use engine product into the cross-platform application, such as Linux, MacOS.
Slickflow is using BPMN2 notation to describe process diagram, the Slickflow designer is HTML5 graph editor and user-friendly to business process communication and business analysis.
Dapper is a simple object mapper for .NET and owns the title of King of Micro ORM in terms of speed and is virtually as fast as using a raw ADO.NET data reader. An ORM is an Object Relational Mapper, which is responsible for mapping between database and programming language.
(Ref: https://dapper-tutorial.net/dapper)
Slickflow supports SQLSERVER, ORACLE, MySQL and another database, it implemented by the Dapper.NET extension library. The .net core version using EF core to support different database products.

The most frequently process pattern
Support and/or gateway such as and/or split, and/or join, together with condition variables on the transition
In the main process, a subprocess node can start a new process life cycle.
Multiple performers processing a task together by multiple task instances. All performers both compete for their task, then the process can be continued on. There are sequence and parallel pattern, and the percentage or count parameters can be set on it to ensure when can go to the next step.

Process instance and activity instance event delegation service, such as process/activity start, execute and complete.
Integrated with HangFire library, and with CRON expression supported
Todo or overdue tasks email notification
Withdraw the task after just sent out to next step users.
Send back to the previous step user, because of some exceptions.
Combined after sendback and re-send the task to original sendback users.
Reverse the process instance alive when completed.
Jump the process over by several steps forward or backward.
Message publishing and subscribing to implement message throwing and catching.
The process has version property to upgrade a new definition due to the business process changed.
The runtime instance use cache to keep the XML process diagram by an expired duration.
Create a simple sequence process diagram by hand code rather than a HTML designer:
//create a simple sequence process diagram by hand code rather than a HTML designer
var pmb = ProcessModelBuilder.CreateProcess("simple-process-name", "simple-process-code");
var process = pmb.Start("Start")
.Task("Task1")
.Task("Task2")
.End("End")
.Store();

Start a new process instance:
//start a new process instance
IWorkflowService wfService = new WorkflowService();
var wfResult = wfService.CreateRunner("10", "jack")
.UseApp("DS-100", "Book-Order", "DS-100-LX")
.UseProcess("PriceProcessCode")
.Start();
Run a process instance to next step:
//run a process instance to next step
IWorkflowService wfService = new WorkflowService();
var wfResult = wfService.CreateRunner("10", "jack")
.UseApp("DS-100", "Book-Order", "DS-100-LX")
.UseProcess("PriceProcessCode")
.NextStepInt("20", "Alice")
.Run();
Withdraw a activity instance to previous step:
//Withdraw a activity instance to previous step
IWorkflowService wfService = new WorkflowService();
var wfResult = wfService.CreateRunner("10", "Jack")
.UseApp("DS-100", "Book-Order", "DS-100-LX")
.UseProcess("PriceProcessCode")
.OnTask(id) //TaskID
.Withdraw();
Sendback a activity instance to previous step:
//Sendback a activity instance to previous step
IWorkflowService wfService = new WorkflowService();
var wfResult = wfService.CreateRunner("20", "Alice")
.UseApp("DS-100", "Book-Order", "DS-100-LX")
.UseProcess("PriceProcessCode")
.PrevStepInt()
.OnTask(id) //TaskID
.SendBack();
WebDemo, MvcDemo, and WinformDemo project are demonstrated for a different type of enterprise information systems.
Slickflow is very suitable for software teams or companies who want to integrate workflow engine into their products.
Slickflow is suggested to give programmers a flexible way to integrate workflow engine components into their products or customer projects. The programmers can write their own code segments based on the engine component.
Slickflow follows MIT open source protocol and can be used for commercial purposes.
The enterprise, ultimate and universe version can be provided with a technical support and upgrade service.
If you have any further inquiry, please feel free to contact us with:
Email: support@ruochisoft.com
https://github.com/besley/Slickflow/wiki
Pre-built Docker images are available on Docker Hub. Get started in minutes without building from source!
The easiest way to get started - pull one image and run all three services:
docker pull besley2096/slickflow-all:latest
docker run -d \
-p 5000:5000 \
-p 5001:5001 \
-p 8090:8090 \
-e WfDBConnectionType=PGSQL \
-e WfDBConnectionString="Server=host.docker.internal;Port=5432;Database=wfdbbpmn2;User Id=postgres;Password=your-password;TimeZone=UTC;" \
--name slickflow-all \
besley2096/slickflow-all:latest
Access:
Docker Hub: https://hub.docker.com/r/besley2096/slickflow-all
Advantages:
For better isolation and scaling, use separate images:
Backend API:
docker pull besley2096/slickflow-api:latest
docker run -d -p 5000:5000 \
-e WfDBConnectionType=PGSQL \
-e WfDBConnectionString="Server=host.docker.internal;Port=5432;Database=wfdbbpmn2;User Id=postgres;Password=your-password;TimeZone=UTC;" \
--name slickflow-api \
besley2096/slickflow-api:latest
Frontend Designer:
docker pull besley2096/slickflow-designer:latest
docker run -d -p 8090:8090 \
--name slickflow-designer \
besley2096/slickflow-designer:latest
WebTest:
docker pull besley2096/slickflow-webtest:latest
docker run -d -p 5001:5001 \
-e WfDBConnectionType=PGSQL \
-e WfDBConnectionString="Server=host.docker.internal;Port=5432;Database=wfdbbpmn2;User Id=postgres;Password=your-password;TimeZone=UTC;" \
--name slickflow-webtest \
besley2096/slickflow-webtest:latest
Use docker-compose.hub.yml from this repository:
docker-compose -f docker-compose.hub.yml pull
docker-compose -f docker-compose.hub.yml up -d
Available tags for each image:
latest - Latest stable versionv3.5.0 - Version 3.5.0API and WebTest containers require database configuration. Supported databases: PostgreSQL, MySQL, SQL Server, Oracle.
Database on Host Machine:
-e WfDBConnectionString="Server=host.docker.internal;Port=5432;Database=wfdbbpmn2;User Id=postgres;Password=your-password;TimeZone=UTC;"
Database in Docker Container:
-e WfDBConnectionString="Server=postgres;Port=5432;Database=wfdbbpmn2;User Id=postgres;Password=your-password;TimeZone=UTC;"
Remote Database:
-e WfDBConnectionString="Server=192.168.1.100;Port=5432;Database=wfdbbpmn2;User Id=postgres;Password=your-password;TimeZone=UTC;"
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