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deepseek-ai/awesome-deepseek-integration

A phone book for DeepSeek: 200+ ways to plug in

This repo is a curated directory of third-party tools, editors, and frameworks that already speak DeepSeek.

awesome-deepseek-integration
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What it does

awesome-deepseek-integration is a community-curated list of software that integrates the DeepSeek API. It catalogs everything from VS Code extensions and Emacs plugins to WeChat bots, Solana frameworks, and fully homomorphic encryption toolkits. Think of it as a yellow pages for developers wondering “does X already work with DeepSeek?”

The interesting bit

The breadth is the point. The list is maintained by DeepSeek itself, which turns a marketing problem—“where can I actually use this model?"—into a living document. Categories range from the obvious (IDE plugins, chat clients) to the niche (RAG frameworks, synthetic data curation, FHE libraries). It’s also aggressively multilingual: English, Chinese, Japanese, Spanish, and Traditional Chinese.

Key highlights

  • 200+ entries across 18 categories, from browser extensions to Discord bots to native AI code editors
  • Multi-platform coverage: VS Code, JetBrains, neovim, Emacs, Visual Studio, plus mobile apps for iOS/watchOS and Android
  • Enterprise and specialized tooling: includes DingTalk integration, openEuler Intelligence platform, RPA WeChat customer service, and Solana agent frameworks
  • Curated by DeepSeek: official repo, not a random community list
  • No code to run: it’s a reference directory with links and one-line descriptions

Caveats

  • Quality and depth vary wildly: some entries are mature products (OpenRouter, LibreChat), others are single-maintainer experiments
  • Descriptions are provided by project authors, not independently verified
  • No comparison matrix or compatibility notes—you still need to evaluate fit yourself

Verdict

Useful if you’re deciding whether to build or buy a DeepSeek integration, or if you just want to see how far the model has spread. Skip it if you need tested, documented SDKs; this is a starting point, not a manual.

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