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Moshi

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.

View on GitHub Official site
Text To Speech Apache-2.0 Medium setup 10,653 stars

Overview

Description

Moshi enables real-time voice conversations with AI by processing speech and text simultaneously. It understands what you say and responds in under 200 milliseconds while you are still talking, making interactions feel natural. Run it on your own infrastructure with Docker or deploy on Apple devices with MLX acceleration.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

Yes

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

No

Data & Privacy

Does it send data online?

This listing is not marked offline after setup.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Medium

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/kyutai-labs/moshi

Hardware Requirements

Hardware tagsGPU (NVIDIA), GPU (Apple Silicon)
LanguagesPython, Rust

Works Well With