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

whyiyhw/chatgpt-wechat

企业微信/微信 安全使用的 LLM 个人助手/客服, 也支持 dify 工作流 observed · 2026-08-28

github.com/whyiyhw/chatgpt-wechat · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

59/100

  • Activity 83
  • Release rhythm 8
  • Longevity 92
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1299
  • days_rel: n/a
  • days_push: 106
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1169 stars · 215 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A self-hosted Go application that lets users safely use LLM assistants (ChatGPT, Gemini, DeepSeek, Dify workflows) inside WeChat by relaying messages through WeCom (Enterprise WeChat), avoiding account bans. It supports multi-session chat, voice and image messages, streaming replies, prompt role templates, plugins, and a private Milvus vector knowledge base.

Use cases

  • use chatgpt inside wechat without getting banned
  • build an llm customer service bot on wecom
  • deploy a personal ai assistant in wechat
  • connect dify workflows to wechat messaging
  • add a private vector knowledge base to a wechat chatbot
  • answer voice messages with an llm assistant
  • run a self-hosted chatgpt proxy for chinese users

When to choose

  • you want LLM access directly in WeChat/WeCom with no ban risk
  • you need a self-hosted assistant with private knowledge base via Milvus
  • you want multi-channel customer service bots with voice, image, and streaming replies
  • you want to plug Dify workflows or multiple LLM providers into chat apps

When to avoid

  • you need a managed SaaS solution with no server setup
  • your users are not on WeChat/WeCom
  • you only need a plain web chat UI without messaging platform integration
  • you require the latest v1.0.0 features in production (still in development; use v0.6.6)

Facets

application · maturity active

chatbot llm-inference rag agent-framework speech-recognition image-processing plugin-system self-hosted chatbots artificial-intelligence large-language-models messaging-platforms self-hosted self-hosted go wechat wecom enterprise-wechat chatgpt dify gemini deepseek vector-database milvus stable-diffusion customer-service voice-messages prompt-templates ai-agents docker linux web-server

1 source

Member repositories

RepositoryRoleHealth v2
whyiyhw/chatgpt-wechatmain59

For agents

markdown · JSON · MCP: product_card(name="whyiyhw/chatgpt-wechat")

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