加载中
正在获取最新内容，请稍候...
Dify Official Plugins - Extend Your AI Apps
This repository contains the official collection of plugins for the Dify LLM application development platform. These plugins allow Dify applications to integrate with various external services, enhancing the capabilities of AI agents and chatbots by providing access to real-time data, tools, and APIs.
Python
Added on 2025年5月11日211
Stars235
ForksPython
LanguageProject Introduction
Summary
A central repository housing official plugins designed to extend the functionality of the Dify AI development platform. These plugins empower Dify applications to leverage external services and data sources through simple integration.
Problem Solved
LLMs often lack access to up-to-date information or the ability to interact with external systems. This project solves this by providing ready-to-use plugins that connect Dify applications to the real world, overcoming the limitations of base models.
Core Features
Wide Range of Integrations
A curated selection of pre-built integrations with popular external services and APIs.
Easy Integration with Dify
Plugins can be easily installed and configured within the Dify platform's UI.
Extend LLM Capabilities
Enables Dify applications to perform actions like web search, data retrieval, and tool execution.
Tech Stack
Python
Flask
Dify SDK (Internal)
Various External APIs
Use Cases
Official plugins for Dify can be used in a wide range of AI application scenarios that require interaction with external information or services:
Scenario 1: Real-time Information Retrieval
Details
Building a chatbot or agent within Dify that can search the internet to answer user queries with current information.
User Value
Ensures AI responses are up-to-date and based on external data sources.
Scenario 2: Integrating External API Data
Details
Creating an AI application that can pull specific data from external APIs (e.g., weather data, stock prices, public databases).
User Value
Allows AI to access and utilize specific, structured data from third-party services.
Scenario 3: Automating Tasks with External Tools
Details
Developing an AI assistant that can perform actions like sending emails, managing calendar events, or interacting with other software tools.
User Value
Empowers AI to perform actions beyond generating text, interacting with external systems to complete tasks.
Recommended Projects
You might be interested in these projects
ReactiveXRxJava
RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
Java
481867607
Cinnamonkotaemon
Kotaemon is an open-source retrieval-augmented generation (RAG) tool that allows users to upload and chat with their documents using natural language.
Python
226461803
Vexa-aivexa
Vexa is a self-hosted, multi-user API designed to seamlessly integrate bots into Google Meet sessions, providing real-time audio transcription and searchable records.
Python
82462