# Evolution API Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/evolution-api
> Markdown URL: https://aitinkerers.org/technologies/evolution-api.md
> Technology record last updated: 2026-09-18T14:19:45Z
> Generated: 2026-09-21T17:49:53Z

Evolution API is the open-source, omni-channel platform for robust WhatsApp and multi-service integration, supporting both Baileys and official Cloud APIs.

This platform began as a WhatsApp controller, initially leveraging the Baileys library, but quickly evolved into a comprehensive, multi-service solution. It provides a unified RESTful API for integrating critical services like Typebot, Chatwoot, Dify, and OpenAI. Evolution API supports two distinct connection types: the free, Baileys-based WhatsApp API and the official, high-volume WhatsApp Business Cloud API. This dual support offers flexible, efficient deployment options for microservices (via Evolution API Lite) or full-scale omnichannel automation.

- Official technology site: https://evolution-api.com
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Orquestração multi-agente em n8n: sub-workflows virando tools dinâmicas](https://curitiba.aitinkerers.org/talks/rsvp_F61Msr-AenQ)

Construí um sistema multi-agente que opera o assistente de WhatsApp de uma marca brasileira de suplementos "clean label" com catálogo de 20+ SKUs em 8 categorias (sono, estética, emagrecimento, imunidade, saúde feminina 40+, entre outros) e dois canais ativos de WhatsApp para quiosque físico e delivery. O problema real: volume de perguntas simultâneas sobre produtos específicos (composição, indicação, contraindicação, disponibilidade), mix de intenções radicalmente diferentes: consumidora final comprando pela primeira vez, cliente em recompra, nutricionista prescrevendo e a necessidade de escalar atendimento sem perder o tom consultivo que a marca construiu. Em vez de LangGraph ou CrewAI, usei n8n como orquestrador e Claude como motor de decisão. Mensagens chegam via Evolution API num webhook do n8n; o Claude classifica a intenção (tool use) e roteia para a tool certa; mas cada "tool" é um sub-workflow n8n separado, chamado via Execute Workflow. Cada sub-workflow tem seu próprio prompt, seu próprio acesso ao Supabase (RAG sobre o catálogo completo com pgvector, histórico de pedidos, perfil do cliente) e seu próprio guard-rail. Quando a confiança do Claude cai especialmente em perguntas clínicas sobre contraindicações, o agente passa para humano via Chatwoot. Tudo self-hosted na Hetzner (Docker Swarm + Traefik). Na demo ao vivo mostro: uma mensagem real chegando no WhatsApp, o painel do n8n executando nó a nó, o sub-workflow correto ativando como tool, e os logs no Supabase. Compartilho o padrão "sub-workflow-as-tool" e o JSON exportado.

- Event context: AI Tinkerers Curitiba: Evento Inaugural — 2026-06-10 — Curitiba
- Public talk page: https://curitiba.aitinkerers.org/talks/rsvp_F61Msr-AenQ

### [A practical guide to building AI automation on WhatsApp with open-source and no-code tools.](https://pereira.aitinkerers.org/talks/rsvp_w1kZtvZH1Yc)

This talk presents a practical approach to implementing AI automation through WhatsApp from scratch, using open-source and no-code technologies such as Evolution API, n8n, Typebot, and Chatwoot. Attendees will learn how to set up a complete workflow, from integrating the WhatsApp API to building AI-powered conversational chatbots. A live demo will be included showing: 1) setting up Evolution API with Docker to connect WhatsApp, 2) orchestrating flows in n8n to process messages and connect external services, 3) designing conversational interactions in Typebot, and 4) managing conversations at scale with Chatwoot. In addition, common technical challenges such as session management in WhatsApp, workflow optimization, and integration with external AI models will be addressed. Participants will gain a clear understanding of the internals of each tool, their limitations, and how to customize them for real-world use cases, with practical examples and lessons learned from previous implementations.

- Event context: AI Tinkerers - Pereira: AI Builders Meetup #2 (May) — 2025-05-28 — Pereira
- Public talk page: https://pereira.aitinkerers.org/talks/rsvp_w1kZtvZH1Yc

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