# danielgross/whatsapp-gpt

Repository: https://github.com/danielgross/whatsapp-gpt
Canonical: https://ross.abutalabs.com/products/whatsapp-gpt
Language: Go
License: MIT
License Family: permissive
Last push: 2024-04-26T17:22:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 97
- inputs: {"age_days": 1370, "days_push": 859, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3059, forks 572 (observed 2026-08-28T04:07:41.116307+00:00)

## What it is
A Go application that bridges WhatsApp messages to ChatGPT by running a WhatsApp client and a browser session controlling ChatGPT. It also includes a script for two ChatGPT instances to converse with each other.

## Use cases
- connect chatgpt to whatsapp
- reply to whatsapp messages with an ai bot
- make two chatgpt instances talk to each other
- run a chatgpt bot on my phone number
- automate whatsapp conversations with llm

## When to choose
- you want a quick hack to pipe WhatsApp messages into ChatGPT
- you want to experiment with two LLMs conversing
- you're comfortable running Go and Python processes and a controlled browser

## When to avoid
- you need a production-ready or officially supported WhatsApp bot
- you want API-based LLM access rather than browser automation of ChatGPT
- you need reliable setup - the author warns it likely won't work on first run

## Facets
- artifact type: application
- maturity: experimental
- function: chatbot, chat-interface, agent-framework, llm-inference
- domain: chatbots, large-language-models, messaging-platforms
- platform: go, python, cross-platform
- tags: whatsapp, chatgpt, browser-automation, hack, demo, ai-agents

## Member repositories
- danielgross/whatsapp-gpt (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:41.116307+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:28:26.928183+00:00, confidence not recorded.
  - readme: https://github.com/danielgross/whatsapp-gpt (fetched 2026-08-28T04:07:41.116307+00:00, sha 8a0c27e4a650)
- Data as of 2026-08-30T08:39:29.467469+00:00.