Ross ROSS = Recommend OSS · open-source software intelligence for agents

dirk1983/deepseek

演示站可以免费使用deepseek-r1满血模型进行AI对话,并支持使用stablediffusion模型画图。本项目是PHP版调用DeepSeek第三方接口进行问答和画图,采用Stream流模式通信,一边生成一边输出。前端采用EventSource,支持Markdown格式解析,支持公式显示,代码有着色处理,支持画图。页面UI简洁,支持上下文连续会话。源码只有几个文件,没用任何框架,支持所有PHP版本,全部开源,极易二开,适合PHP初学者。保姆级教程,账号等周边资源,欢迎进群交流,一切全免费。 observed · 2026-08-28

github.com/dirk1983/deepseek · homepage · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

36/100

  • Activity 33
  • Release rhythm 8
  • Longevity 92
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1294
  • days_rel: n/a
  • days_push: 405
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3103 stars · 7 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A lightweight PHP demo application that calls DeepSeek/OpenAI-compatible chat APIs with streaming (EventSource) output, supporting Markdown rendering, code highlighting, formulas, contextual multi-turn conversation, and image generation via Stable Diffusion. It uses only a few plain PHP files with no framework or database, making it easy for PHP beginners to deploy and modify.

Use cases

  • build a self-hosted AI chat website in PHP
  • chat with DeepSeek-R1 through a web interface
  • stream LLM responses token by token in PHP
  • generate images with Stable Diffusion from a chat prompt
  • share an OpenAI-compatible chatbot with friends using rotating API keys
  • learn how to integrate streaming LLM APIs without a framework

When to choose

  • you want a minimal, no-framework PHP codebase that is easy to modify
  • you need streaming responses without a database dependency
  • you are a PHP beginner wanting a tutorial-style LLM integration example
  • you want lightweight personal or small-group AI chat with API key rotation

When to avoid

  • you need a production-grade, multi-user chat platform with accounts and persistence
  • your stack is not PHP
  • you need enterprise features like databases, auth systems, or scaling
  • you require official SDK features or fine-grained API control

Facets

application · maturity active

chatbot llm-inference http-client web-framework stable-diffusion chat-interface large-language-models chatbots web-development artificial-intelligence php self-hosted cross-platform deepseek openai-api streaming eventsource no-framework php-beginner image-generation markdown-rendering web-server

1 source

Member repositories

RepositoryRoleHealth v2
dirk1983/deepseekmain36

For agents

markdown · JSON · MCP: product_card(name="dirk1983/deepseek")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem