neural-maze/ava-whatsapp-agent-course resource

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1673 stars · 419 forks observed · 2026-08-28

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

Ava is a course project and codebase for building a WhatsApp AI agent that chats realistically, understands voice and images, and replies with voice notes and images. It doubles as a hands-on tutorial on agentic workflows with STT, TTS, and a vector database.

Use cases

• build a whatsapp ai agent
• learn to build agentic workflows
• create a chatbot that answers voice messages
• send voice notes from an llm agent
• integrate stt and tts into an agent
• give an ai agent memory with a vector database
• make an ai companion that chats on whatsapp

When to choose

• you want a guided, project-based course on building multimodal AI agents
• you need a working reference implementation of a WhatsApp voice-and-image agent in Python
• you are learning how STT, TTS, and vector databases fit into agentic systems

When to avoid

• you need a production-ready, supported WhatsApp bot framework
• you want a library to drop into an existing app rather than a course codebase
• you need agents on platforms other than WhatsApp

Facets

learning-resource · maturity active

agent-framework speech-recognition tts chatbot rag llm-inference chatbots large-language-models tutorials messaging-platforms python self-hosted whatsapp-agent agentic-workflow voice-agent multimodal-ai course-project ex-machina-inspired ai-agents

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