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https://github.com/saya-ashen/dingent

A lightweight, user-friendly LLM Agent framework focused on simplifying data retrieval application development.
https://github.com/saya-ashen/dingent

agent agents ai ai-agents framework langchain langgraph

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A lightweight, user-friendly LLM Agent framework focused on simplifying data retrieval application development.

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README 

          
> [!WARNING]

> **Documentation Outdated / 文档已过期**

>

> This project is currently under **rapid development**. The content in this

> README is **outdated** and may not reflect the latest features or

> architecture. Please refer to the code or wait for upcoming documentation

> updates.

>

> 本项目当前处于**快速迭代开发**阶段。本 README

> 中的内容**已经过时**，可能无法反映最新的功能或架构变更。请以最新代码为准或等待文档更新。








# Dingent



**A powerful, yet user-friendly LLM Agent framework designed to streamline the

entire development lifecycle of intelligent applications.**



**English** · [简体中文](./README.zh-CN.md)



[Quick Start](https://saya-ashen.github.io/Dingent/docs/intro%23quick-start) |

[Installation](https://saya-ashen.github.io/Dingent/docs/getting-started/installation)

|

[Configuration](https://saya-ashen.github.io/Dingent/docs/getting-started/configuration)






**Dingent** is an agent framework whose core goal is to simplify the process of

creating any application powered by Large Language Models (LLMs). We provide a

concise yet powerful toolkit... to build applications capable of automating

complex workflows, interacting with various services, and performing intelligent

analysis. For any custom logic or integration, Dingent offers a flexible

framework that developers can easily extend by writing custom code.



### Chat Interface



|          Chat View 1          |          Chat View 2          |

| :---------------------------: | :---------------------------: |

| ![chat1](./assets/Chart1.png) | ![chat2](./assets/Chart2.png) |



### Admin Dashboard



|             Dashboard - Overview             |           Dashboard - Workflows            |

| :------------------------------------------: | :----------------------------------------: |

|   ![overview](./assets/admin-overview.png)   | ![workflows](./assets/admin-workflows.png) |

|           **Dashboard - Settings**           |            **Dashboard - Logs**            |

|   ![settings](./assets/admin-settings.png)   |      ![logs](./assets/admin-logs.png)      |

|          **Dashboard - Assistants**          |           **Dashboard - Market**           |

| ![assistants](./assets/admin-assistants.png) |    ![market](./assets/admin-market.png)    |



## 🎯 Why Choose Dingent?



When building LLM applications, developers often spend a significant amount of

time on "glue code": creating backend services, wrapping APIs, setting up

frontend-backend communication... These tasks are tedious and repetitive.



**Dingent's core value lies in:**



- **No More Repetition**: We package the best practices for backend services

  (LangGraph), data interfaces (**Plugin System**), a chat interface

  (CopilotKit), and a **full-featured admin dashboard** into a single command.

  You no longer need to build everything from scratch and can start writing your

  core business logic immediately.



* **Configuration via UI**: Forget manually editing complex configuration files.

  With Dingent's integrated admin dashboard, you can manage assistants, build

  workflows, and configure settings through an intuitive graphical interface.

* **Extensible and Versatile**: While Dingent began with a focus on data

  retrieval, it has evolved into a powerful general-purpose framework. Its

  modular architecture and robust plugin system allow you to build any type of

  agent—from simple task automation bots to complex multi-agent systems. Dingent

  provides the solid foundation, you bring the vision.

* **Core Features Built-In**: We believe a simple and easy-to-use agent

  shouldn't require users to spend a lot of time maintaining plugins. Therefore,

  we are committed to integrating features the community deems important

  directly into the framework. If you think a feature is crucial, we encourage

  you to open an Issue or PR. This directly reflects our core mission of "making

  Agents simpler for users."



- **Smooth Learning Curve**: You only need a basic understanding of Python to

  build powerful, general-purpose agents, without needing to be an expert in

  LangGraph or FastAPI. At the same time, we retain the flexibility to expand

  functionalities, ensuring the framework can fully support custom development

  when needed.



## ✨ Features



- **Instant Project Setup**: Simply run `dingent dev` in any directory to

  initialize a new project.

- **Integrated Admin Dashboard**: A powerful, React-based web interface to

  visually manage your assistants, workflows, plugins, and settings.

- **Bundled Frontend**: A pre-built, standalone Next.js chat interface is

  included out-of-the-box. No need for manual setup or compilation.

- **Lightweight and Easy to Use**: A clean design and a gentle learning curve

  let you focus on business logic rather than tedious configuration.

- **Guest Mode Support**: Allow unauthenticated users to chat with AI agents

  without requiring registration. See

  [Guest Mode Documentation](./GUEST_MODE.md) for details.



## 🚀 Quick Start



Just download the latest executable for your platform from the releases page and run it.



## 🗺️ Roadmap



- **✅ 1. Documentation & Tutorials**



  - [x] **Basic Docs:** Installation and configuration guides.

  - [ ] **Core Concepts:** In-depth explanations of key features and design.

  - [ ] **Plugin Dev Guide:** How to build your own plugins.

  - [ ] **End-to-End Tutorials:** Complete, step-by-step project examples.



- **⏳ 2. Admin Dashboard**



  - [x] **Core UI**: Fully functional dashboard for managing assistants,

        workflows, and settings.

  - [x] **Plugin Management**: Add/remove plugins directly from the UI.

  - [x] **Advanced Workflow Editor**: More powerful tools for building complex

        agent behaviors.



- **💡 3. Plugin System**



  - [x] **Auto-Discovery**: Automatically loads plugins from the `plugins/`

        directory.

  - [ ] ~~**Plugin CLI:** Install and manage plugins via the command line.~~

        (Superseded by UI management in the Admin Dashboard)

  - [x] **Plugin Marketplace:** Discover, search, and download community

        plugins.



- **📦 4. Core Plugins**



  - [x] **Database Plugin:** Connect to mainstream databases.

  - [ ] **Knowledge Base Q\&A Plugin:** Quickly build a Q\&A application on your

        documents.



## 🤝 How to Contribute



We created this project to make Agents simpler for users, not to build yet

another complex development framework. Therefore, we warmly welcome and heavily

rely on community contributions to shape the future of **Dingent**.



If a feature is important to you, we strongly encourage you to discuss it by

opening a GitHub Issue or contributing code directly through a Pull Request. Our

core philosophy is that the developer community should decide which features are

built into the software, rather than leaving users to maintain their own

plugins\!



If you share our vision and wish to contribute code, please follow these steps:



1. Fork this repository.

2. Create a new feature branch (`git checkout -b feature/YourAmazingFeature`).

3. Commit your changes (`git commit -m 'Add some AmazingFeature'`).

4. Push your branch to GitHub (`git push origin feature/YourAmazingFeature`).

5. Create a Pull Request and clearly describe the value of your feature.



We believe that through our collective efforts, Dingent can become a truly

powerful and "out-of-the-box" tool.



## 📄 License



This project is licensed under the [MIT License](./LICENSE).