Audio & Voice · GitHub ·29 ★

splaa

SPLAA is an AI assistant framework that utilizes voice recognition, text-to-speech, and tool-calling capabilities to provide a conversational and interactive experience. It uses LLMs available through Ollama and has capabilities for extending functionalities through a modular tool system.

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Details

Author
cp3249
Category
Audio & Voice
Platform
GitHub
Framework
custom
Language
python
Stars
29
First indexed
2026-05-15
Last active
2025-05-06
Directory sync
2026-05-15
@cp3249

Overview

SPLAA is an AI assistant framework that utilizes voice recognition, text-to-speech, and tool-calling capabilities to provide a conversational and interactive experience. It uses LLMs available through Ollama and has capabilities for extending functionalities through a modular tool system.

Quick start

git

git clone https://github.com/cp3249/splaa

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What splaa can do

whisperframeworkhrassistantvoice
  • Whisper — whisper task automation.
  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Assistant — Acts as a personal helper for everyday tasks.
  • Voice — Speaks and listens in real-time conversations.

Frequently asked questions

What is splaa?
SPLAA is an AI assistant framework that utilizes voice recognition, text-to-speech, and tool-calling capabilities to provide a conversational and interactive experience. It uses LLMs available through Ollama and has capabilities for extending functionalities through a modular tool system.
How do I install splaa?
Use git: `git clone https://github.com/cp3249/splaa`. Full setup details on the source page linked above.
Is splaa open source?
splaa is published on GitHub.
What are alternatives to splaa?
Comparable agents include ChatTTS, rasa, CosyVoice. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for splaa is sourced from GitHub, published by cp3249.

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