awesome-deepseek-integration: a curated index of tools that speak the DeepSeek API

A list of integrations, not an integration

The repository solves a discovery problem. Someone has a DeepSeek API key, wants to use it inside an editor, a chat client, a browser extension or an agent framework, and does not want to evaluate every candidate from scratch. The README answers that with a categorised table of projects, each row naming a tool and giving a one or two line description of what it does. The audience is therefore the person who has already decided to use the API and is choosing a surface for it, not the person writing code against the API directly. The README itself states the premise plainly: "Integrate the DeepSeek API into popular softwares. Access DeepSeek Open Platform to get an API key." That sentence is the whole scope. There is no SDK here, no client library, no wrapper around the HTTP endpoints, and no code at all beyond the README files and a docs directory. If you came looking for something to import, this is the wrong repository. If you came looking for a shortlist, it is a reasonable one.

How the repository is laid out and where the categories come from

The top level holds only documentation: README.md plus translations into Simplified Chinese, Traditional Chinese, Japanese and Spanish, a LICENSE file, a .gitignore and a docs directory. The project list is a single large table in the README, split by headings that correspond to where the integration lives rather than what it does. Applications, AI agent frameworks, RAG frameworks, IM application plugins, office add-ins, browser extensions, VS Code extensions, Visual Studio extensions, neovim extensions, JetBrains extensions, Discord bots, native AI code editors, Emacs, security, providers and an others bucket. That taxonomy is the useful part of the design, because it lets you jump straight to the surface you actually use. A few entries are stored as in-repository documents under docs, for example docs/ETOS-LLM-Studio/README.md and docs/SwiftChat/README.md, so a handful of projects get a fuller page than a table row. Everything else is an outbound link. The consequence is that the repository carries no dependency graph, no build, and no test suite. Nothing in it can break, and nothing in it can be fixed either.

Getting an API key and picking your first integration

There is no installation step for this repository. The README points you at the DeepSeek Open Platform to obtain an API key, and then the work is choosing a row from the table and following that project's own instructions. The only thing this repository gives you locally is the checkout itself, which is worth having if you want to read the per-project docs pages offline.

git clone https://github.com/deepseek-ai/awesome-deepseek-integration.git
cd awesome-deepseek-integration
ls docs

The clone brings down the README files, the translations and the docs directory. The ls should list the per-project folders that the table links into, such as ETOS-LLM-Studio and SwiftChat. From there, pick a category. If you work in an editor, the VS Code Extensions, JetBrains Extensions and neovim Extensions headings are the direct route; if you want a chat surface, the Applications heading is where the client projects sit.

open README.md

On Linux use xdg-open instead. What you should see is the table of contents followed by the categorised tables. Open the linked project in a second tab, because the next step happens there and not here. Every entry follows the same shape: a link and a description. The repository will not tell you which one to choose, and it does not rank them.

The list ages, and nothing here tells you when

This is the main limitation and it is structural. A curated list is only as current as its last edit, and the entries are links to third-party projects that change, get abandoned or change licence without this README noticing. The repository does not record a maintenance status, a last commit date or a version for the projects it lists. A row that looks healthy may point at something that has not been touched in a year. There is also no editorial filter visible in the README: the descriptions read as the projects' own marketing copy, so a tool described as a flagship client or as offering deep system integration is being described by its authors, not by anyone who evaluated it. Treat every row as a pointer to investigate, never as a recommendation. The second limitation is scope drift. The table includes categories such as FHE frameworks and Solana frameworks, which are a long way from the everyday question of how to use the DeepSeek API in your editor. A reader looking for a coding assistant has to filter past entries that have nothing to do with that. The repository gives you the raw list and leaves the filtering to you, which is the honest design for a list like this, but it is work.

What to compare it against

The obvious alternative is the DeepSeek platform's own documentation, which is the place to go if you intend to call the API yourself from your own code. The difference in approach is fundamental: the platform docs describe the endpoints and the request format, while this repository assumes you will not write that code and instead adopt a tool that already did. A second alternative is the README's own Providers category, which lists services that proxy or aggregate model access, such as OpenRouter. That is a different decision again. A provider sits between you and the model and handles routing and fallbacks, whereas the integrations listed here connect a specific application to the DeepSeek API directly. If your question is which model to route to, a provider answers it; if your question is which editor to type in, this list answers it. Neither replaces the other, and the repository lists both without explaining when to prefer one.

Licence, maintenance and what upgrading costs

The repository is licensed CC0-1.0. That is a public domain dedication applied to the text and the compilation, which is permissive for reuse of the list itself. It says nothing about the projects in the tables: each linked project carries its own licence, and several of the entries are commercial products rather than open source repositories, so the CC0-1.0 label on this repository tells you nothing about what you may do with any tool you pick from it. Check the licence of the project you actually adopt. On maintenance, the repository records no last push date and has no releases, so there is no basis for a claim about how actively it is updated; it is not archived, and that is all that can be said. Upgrade cost is close to zero for the repository itself, since there is nothing to upgrade and no version to pin. The cost sits with the integrations: each one has its own release cadence and its own breaking changes, and this list will not warn you when one of them changes direction.

Editorial conclusion

Adopt this repository if you already have a DeepSeek API key and want a starting point for editors, chat clients or agent frameworks rather than a library to build on; the list is organised by category and each entry links out to its own project. Skip it if you need a maintained SDK, a versioned package or an integration that the maintainers themselves support, because nothing here is built or tested by this repository. Before committing to any entry, verify three things on the linked project itself: that it is still receiving commits, that its licence permits your use, and that it documents how the DeepSeek base URL and API key are configured, since this repository documents none of that.

Frequently asked questions

Official sources

1. Official README
2. Project repository