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DeepSeek Ecosystem Tools

Not just the model itself. These excellent tools make DeepSeek models even more powerful—from WebUI to IDE plugins, from knowledge bases to Agents, everything you need in one place.

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Data source: awesome-deepseek-integration community repository

30+ Essential DeepSeek Ecosystem Tools

All tools can be seamlessly integrated with DeepSeek models, mainly free and open-source, covering local deployment, web interfaces, development integration, knowledge bases, agents, API applications, RAG frameworks, IDE plugins, and other comprehensive scenarios.

Ollama — Local Deployment Engine for DeepSeek Models

Officially recommended local deployment tool for DeepSeek. 88.3M+ downloads, supports one-click download and running of the entire DeepSeek model series.

Official Website ollama.com
Open Source License MIT License
Supported Platforms Windows / macOS / Linux
DeepSeek Models R1 (88.3M+ downloads), V3 (3.8M+), Coder (4.2M+)
Installation Command curl -fsSL https://ollama.com/install.sh | sh

Core Features

  • One-click download and running of the entire DeepSeek model series (R1/V3/Coder)
  • Automatic model quantization (Q4_K_M), small size and good performance
  • REST API compatible with OpenAI API format (localhost:11434)
  • Supports GPU acceleration (CUDA/Metal/ROCm)
  • Integrates with 6+ development tools such as Claude Code, Codex, OpenCode
  • Supports parallel running of multiple models and custom Modelfile

Open WebUI — ChatGPT-style Web UI

Provides a beautiful web interface for Ollama, supporting multi-user, conversation history, document upload, and model management. The perfect companion for local DeepSeek deployment.

GitHub github.com/open-webui/open-webui
License MIT License
Deployment Docker / Docker Compose / Manual installation

# One-click Docker deployment of Open WebUI + Ollama
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway \
-v open-webui:/app/backend/data \
--name open-webui \
--restart always \
ghcr.io/open-webui/open-webui:main

Key Features

  • ChatGPT-like interface with Markdown rendering and code highlighting
  • Multi-user management and permission control
  • RAG knowledge base: upload documents and ask questions based on content
  • Model management: download/switch/delete Ollama models
  • Supports voice input and TTS voice output
  • Web search integration (Google/Bing/DuckDuckGo)

Dify — LLM Application Development Platform

Open-source LLM application development platform that quickly builds DeepSeek models into AI applications. Supports knowledge bases, Agent workflows, and chatbots.

GitHub github.com/langgenius/dify
License Apache 2.0 (commercial use allowed)
Deployment Docker Compose

# One-click deployment of Dify
git clone https://github.com/langgenius/dify.git
cd dify/docker
cp .env.example .env
docker compose up -d

# Access http://localhost:3000
# In Settings → Model Provider → OpenAI-API-compatible, add DeepSeek
# API Base URL: http://localhost:11434/v1
# Model name: deepseek-r1:8b

Key Features

  • Visual Prompt orchestration, drag-and-drop workflow design
  • RAG knowledge base: supports PDF/Word/TXT/Markdown/web pages
  • Agent: tool calling, code execution, conditional branching
  • Conversation logs and analytics for continuous improvement
  • API publishing: one-click publish apps as REST APIs

DeepSeek API Integration Applications

These excellent applications provide cross-platform AI experiences through the DeepSeek API—from desktop to mobile, from chat to multi-model collaboration.

Apple Platforms

ETOS LLM Studio

Native AI client for watchOS + iOS, allowing you to chat with DeepSeek directly on Apple Watch. Supports voice input and Shortcuts integration.

  • Native watchOS / iOS
  • Supports DeepSeek API
  • Voice input + Shortcuts
  • Customizable API endpoint
Cross-Platform Desktop

Chatbox

Cross-platform desktop AI client supporting Ollama and API integration. Clean interface, multi-model switching, and conversation history management.

  • Open source and free
  • Windows / macOS / Linux
  • Supports Ollama local models
  • Markdown rendering + code highlighting
Web Application

LobeChat

Modern AI conversation framework supporting DeepSeek models. Beautiful interface, plugin system, TTS voice, knowledge base, and more.

  • Open source free (Apache 2.0)
  • Supports Ollama and API
  • Plugin system + TTS voice
  • One-click Docker deployment
Open Source Alternative

LibreChat

Open source ChatGPT alternative supporting multiple models, multi-user, and plugin system. Can be configured with DeepSeek as backend model.

  • Open source free (MIT)
  • Multi-model + multi-user
  • Plugin system + preset management
  • Docker deployment
Web Application

NextChat (ChatGPT-Next-Web)

One-click deployable cross-platform private ChatGPT application supporting DeepSeek API. Lightweight, responsive design.

  • Open source free (MIT)
  • Supports DeepSeek API
  • One-click Vercel deployment
  • Markdown + code highlighting
Multi-Model Collaboration

ChatALL

Chat with multiple AI models simultaneously; get answers from DeepSeek, ChatGPT, Claude, and more in one query for easy comparison.

  • Open source free
  • Supports 20+ AI models
  • Simultaneous chat + batch query
  • Windows / macOS / Linux
Apple Platforms

Enchanted

Native iOS / macOS Ollama client, an AI chat application designed for Apple platforms. Supports the full DeepSeek model series.

  • Open source free
  • Native iOS / macOS
  • Supports Ollama local models
  • Native SwiftUI experience
Web Interface

Open WebUI

ChatGPT-style web interface, providing a beautiful multi-user web interface for Ollama. See above →

  • Open source free (MIT)
  • Multi-user + permission control
  • RAG knowledge base integration
  • One-click Docker deployment

AI Agent Framework Integration

Integrate DeepSeek models into mainstream AI Agent frameworks to build autonomous agents, multi-agent collaboration systems, and workflow automation.

Framework Description DeepSeek Configuration
Dify LLM application development platform with visual orchestration of Agent workflows and built-in RAG knowledge base. Settings → Model Provider → OpenAI-API-compatible → Add DeepSeek
LangChain The most popular LLM application framework, providing Chain/Agent/Tool abstractions with the richest ecosystem. ChatOpenAI(model="deepseek-chat", base_url="https://api.deepseek.com/v1")
CrewAI Multi-agent collaboration framework where role-defined Agents collaborate to complete complex tasks. Set OPENAI_API_BASE=https://api.deepseek.com/v1, OPENAI_MODEL_NAME=deepseek-chat
AutoGen Microsoft's open-source multi-agent conversation framework supporting customizable, conversable agents. config_list=[{"model":"deepseek-chat","api_key":"sk-xxx","base_url":"https://api.deepseek.com/v1"}]
MetaGPT Multi-agent meta-programming framework simulating software company roles to auto-generate code/docs/PRD. Configure LLM API address to DeepSeek API endpoint, set model name to deepseek-chat
Camel Multi-agent research framework focused on exploring and experimenting with agent societies. Set OpenAI-compatible API Base URL to DeepSeek endpoint

Tip: Since the DeepSeek API is compatible with the OpenAI format, most Agent frameworks only require modifying the base_url and model parameters to integrate.

RAG Framework Integration

Integrate DeepSeek models into RAG (Retrieval-Augmented Generation) frameworks to build enterprise-grade knowledge base Q&A systems.

Framework Description DeepSeek Configuration
RAGFlow Deep document understanding RAG engine, supports complex PDF parsing, OCR, table recognition, enterprise-grade knowledge base. Model Settings → Add OpenAI-API-compatible model → Fill in DeepSeek API address and key
FastGPT Open-source knowledge base Q&A platform, supports visual orchestration, data preprocessing, API publishing. Configure LLMModel in config.json, set apiKey and baseUrl to DeepSeek
Dify LLM application platform with built-in powerful RAG engine, supports knowledge base management and retrieval.See above → Settings → Model Provider → OpenAI-API-compatible → Add DeepSeek
AnythingLLM All-in-one document Q&A tool, supports PDF/Word/web pages, simple and easy to use. Supports Ollama local models and DeepSeek API. In settings, select DeepSeek as LLM Provider and fill in API Key
MaxKB Open-source knowledge base Q&A system, supports multiple models and knowledge bases, suitable for enterprises to quickly build AI assistants. System Settings → Model Management → Add OpenAI-compatible model → Configure DeepSeek endpoint

Note: All the above RAG frameworks support DeepSeek models as backend LLM, and some frameworks also support integration via Ollama local deployment.

IDE and Editor Plugins — Use DeepSeek in Your Editor

Integrate DeepSeek models into your development environment for real-time code completion, chat, and code review in VS Code, JetBrains, neovim, or AI Code Editor.

VS Code Plugins

VS Code / JetBrains

Continue.dev

Open-source AI coding assistant supporting VS Code and JetBrains. Can configure DeepSeek as backend model for code completion and chat.

  • Open source and free (Apache 2.0)
  • Supports Ollama local models
  • Code completion + chat + editing
  • Configuration: Add DeepSeek to config.json
VS Code

Cline

AI coding assistant in VS Code, supports DeepSeek via Ollama or API. Can autonomously edit files and run terminal commands.

  • Open source and free
  • Supports Ollama local models
  • Autonomous editing and terminal operations
  • Supports MCP protocol
VS Code

Cody

AI coding assistant by Sourcegraph, supports DeepSeek as backend model. Auto-completion, chat, command execution.

  • Open source and free
  • Supports custom model endpoints
  • Code understanding + auto-completion
  • Configuration: Add DeepSeek API endpoint in settings
VS Code

CodeGPT

AI coding assistant in VS Code, supports multiple AI providers. Can configure DeepSeek API as model backend.

  • Open source and free
  • Supports OpenAI-compatible API
  • Multi-model switching
  • Configuration: Select OpenAI Compatible Provider

JetBrains Plugins

JetBrains

Continue

Continue.dev also supports all JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.).

  • Supports all JetBrains IDEs
  • Configure DeepSeek in config.json
  • Code completion + chat + inline editing
  • Supports local and cloud models
JetBrains

CodeGPT

AI coding assistant plugin for JetBrains platform, supports DeepSeek via OpenAI-compatible API.

  • Supports all JetBrains IDEs
  • OpenAI-compatible API configuration
  • Multi-model support
  • Configuration: Settings → CodeGPT → Add Provider

neovim Plugins

neovim

avante.nvim

AI coding assistant plugin for neovim, simulating Cursor's AI experience. Supports DeepSeek as backend model.

  • Open source and free
  • Supports Ollama local models
  • Code suggestions + chat
  • Configuration: provider = "deepseek"
neovim

codecompanion.nvim

AI coding companion for neovim, supports chat and code generation with DeepSeek models. Lightweight and high-performance.

  • Open source and free
  • Supports OpenAI-compatible API
  • Inline code suggestions
  • Configuration: Set adapter to OpenAI-compatible + DeepSeek endpoint

AI Code Editors

AI Code Editor

Cursor

AI-native code editor, deeply customized based on VS Code. Supports configuring DeepSeek as a custom model.

  • AI-native editing experience
  • Supports custom API endpoints
  • Configuration: Settings → Models → Add DeepSeek API
  • Supports API Key and Base URL configuration
AI Code Editor

Windsurf

AI-native IDE from Codeium, featuring Cascade agent. Can configure DeepSeek as a custom model endpoint.

  • AI Flow programming paradigm
  • Cascade agent engine
  • Configuration: Add custom model endpoint
  • Supports OpenAI-compatible format
AI Code Editor

Trae

AI-native IDE from ByteDance, with built-in DeepSeek model support. Out-of-the-box AI programming experience.

  • Built-in DeepSeek model
  • Builder agent mode
  • Free to use
  • No additional configuration needed

Browser Extensions

Browser Extension

Page Assist

Browser extension providing a sidebar WebUI for Ollama. Use DeepSeek on any webpage without switching windows.

  • Open source and free
  • Chrome / Firefox / Edge
  • Sidebar chat
  • Supports all Ollama models

Mobile and Special Scenario Tools

In addition to the mainstream tools above, the following tools are also deeply integrated with DeepSeek in specific scenarios.

Mobile

Maid

AI client on iOS/macOS, supporting DeepSeek models. Native SwiftUI design for a smooth experience.

  • Open source and free
  • iOS / macOS
  • Supports Ollama remote connection
  • Native SwiftUI interface
Terminal Tool

ShellChat

Command-line AI assistant for chatting with DeepSeek directly in the terminal. Suitable for DevOps and server management scenarios.

  • Open source and free
  • Supports DeepSeek API
  • Pipeline operations + Shell integration
  • Lightweight, no dependencies
Translation Tool

OpenAI Translator

Browser translation extension supporting DeepSeek API. Text selection translation, bilingual comparison, PDF translation.

  • Open source and free
  • Chrome / Firefox / Edge
  • Supports custom API endpoints
  • Text selection translation + full-page translation
Note Tool

Obsidian AI Plugins

AI plugin ecosystem in Obsidian note-taking software, supporting DeepSeek as a backend model for content generation and summarization.

  • Open source plugin ecosystem
  • Text Generator / Smart Connections
  • Supports custom API endpoints
  • Local knowledge base + AI enhancement

Recommended DeepSeek Ecosystem Tool Combinations

Choose the best tool combination based on your use case.

Use Case Recommended Tool Combination Difficulty
Personal Daily Use Ollama + Chatbox / Page Assist Beginner
Team Shared Use Ollama + Open WebUI Easy
Enterprise AI Applications Ollama/vLLM + Dify Intermediate
Programming Development Ollama + Continue.dev / Cursor Easy
Document Knowledge Base Ollama + AnythingLLM / RAGFlow Easy
AI Agent Development DeepSeek API + LangChain / CrewAI Intermediate
Multi-Model Comparison DeepSeek API + ChatALL / LobeChat Beginner

DeepSeek Model Core Knowledge

Dive into DeepSeek model technical details, master the full process of model selection, download, and deployment.

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