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

shridarpatil/whatomate

Whatomate is an open-source WhatsApp integration observed · 2026-08-28

github.com/shridarpatil/whatomate · homepage · Go · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

69/100

  • Activity 99
  • Release rhythm 60
  • Longevity 18

Flags: prerelease_only

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: 4
  • age_days: 257
  • days_rel: 77
  • days_push: 11
  • n_releases_24m: 30

Full methodology

Adoption not part of the score

1450 stars · 351 forks observed · 2026-08-28

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

Whatomate is an open-source, self-hosted WhatsApp Business platform shipped as a single Go binary with Docker support. It provides multi-tenant messaging, real-time chat, template and campaign management, chatbot automation, and WhatsApp voice calling with a visual IVR builder and S3 call recording.

Use cases

  • self-host a WhatsApp Business messaging platform
  • send bulk WhatsApp campaigns with retries
  • build keyword and AI-powered WhatsApp chatbots
  • handle inbound and outbound WhatsApp voice calls
  • build IVR call flows with a visual node editor
  • record WhatsApp calls to my own S3 bucket
  • manage WhatsApp message templates approved by Meta
  • give support teams a shared WhatsApp inbox with roles and permissions

When to choose

  • you need WhatsApp messaging and voice calling on infrastructure you control
  • you want to avoid per-message or per-minute third-party fees
  • you need multi-tenant WhatsApp support for multiple organizations
  • you want chatbot automation with OpenAI, Anthropic, or Google integrations

When to avoid

  • you only need a lightweight WhatsApp bot library to embed in your own code
  • you are unwilling to run Meta's WhatsApp Cloud API approval process
  • you need a fully managed SaaS with vendor support
  • your project is incompatible with the AGPL-3.0 license

Facets

application · maturity active

chatbot websocket api-framework webhook workflow-automation audio-processing analytics self-hosted messaging-platforms self-hosted apis backend self-hosted go whatsapp whatsapp-business-api ivr voice-calling multi-tenant bulk-messaging chatbot-automation call-recording automation docker linux web-server

2 sources

Member repositories

RepositoryRoleHealth v2
shridarpatil/whatomatemain69

For agents

markdown · JSON · MCP: product_card(name="shridarpatil/whatomate")

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