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ava-whatsapp-agent-course

neural-maze/ava-whatsapp-agent-course

Meet Ava, the WhatsApp Agent

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

46views this month

1.7k stars416 forksLast push Oct 20, 2025 Python MIT

Decision brief

Ava is a Python toolkit for developing WhatsApp AI agents with robust speech-to-text and text-to-speech capabilities suited for conversational workflows.

Good fit when

  • When you need a specialized agent for WhatsApp interactions
  • For projects requiring integration of both STT and TTS technologies

Avoid when

  • If your workflow primarily uses platforms other than WhatsApp
  • Projects that do not require speech-to-text or text-to-speech capabilities

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (334d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install ava-whatsapp-agent-course
PyPI

How it fits your stack(7)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A repository for creating an AI agent named Ava designed to interact via WhatsApp, leveraging speech-to-text (STT) and text-to-speech (TTS) technologies.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Tags

README

Getting started Before you begin the course, there are a few things you need to do. I'm referring to the virtual environment creation, dependencies installation, file creation, etc. I know, it's very boring, but it's a necessary evil! 😅 All of this is detailed in the following d...

For agents

This page has a .md twin and JSON over the API.

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