GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 PyPIHow it fits your stack(7)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
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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.