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MO

moonshine-ai/moonshine

AI Agent

Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

9.8k Stars518 Forks8 Open Issues9.8k WatchersC++NOASSERTION
AI AgentDeveloper ToolUI Framework
Source and compliance noteLast synced: Jul 21, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

moonshine-ai/moonshine is tracked as a C++ project in the AI Agent, Developer Tool, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 9.8k total stars, with +282 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Active; the latest push was 1 days ago, and the open issue queue is 8, about 0.08% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 518 forks and 9.8k watchers suggest how often the project is reused or followed. License signal: NOASSERTION. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need C++ teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 282. Follow the original GitHub repository for final install, security, and release information.

Best For
  • C++ teams evaluating ecosystem-native tooling
  • use cases where recent maintenance matters
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

9.8k Stars

Reuse

518 Forks

Attention

9.8k Watchers

Maintenance

active

License

NOASSERTION

Open issues

8

Overview

Moonshine Voice is an open source AI toolkit for building real-time voice agents and applications. It runs on-device for fast, private processing without needing API keys. The library supports multiple platforms and includes high-level APIs for transcription, text-to-speech, and conversational agents.

Key Features

Runs entirely on-device for privacy and speed; optimized for live streaming with low latency; supports multiple languages for STT and TTS; includes high-level APIs for transcription, TTS, voice cloning, speaker identification, command recognition, and conversational agents; easy integration across Python, iOS, Android, macOS, Linux, Windows, Raspberry Pi, IoT devices, microcontrollers, and DSPs.

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

Developer Tool

Tools that improve coding, testing, build, and local workflow

UI Framework

Frontend frameworks, design systems, and interface libraries

Quick Start
pip install moonshine-voice
View on GitHub Project Homepage
Project Activity

83

Health Score

Active

Commit Activity

Oct 4, 2024

Created

Jul 20, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 21, 2026Jul 21, 2026
Community Health
518

Forks

8

Open

9.8k

Watchers

Owner
MO

moonshine-ai

GitHub profile
Topics & Language
C++intent-recognitionsttttsvoicevoice-recognition
Ecosystem & Usage
GitHub Repository Project Website
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License
NOASSERTION
CreatedOct 4, 2024
Last pushJul 20, 2026
Last syncedJul 21, 2026
Community Standards

✓

License

✓

Forked

✓ Active

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

Moonshine solves the problem of high-latency, privacy-compromising cloud-based voice AI by enabling fully on-device processing with streaming capabilities. It outperforms Whisper Large V3 in accuracy while offering tiny models (down to 1MB) for constrained devices, making real-time voice interfaces feasible on edge hardware like microcontrollers and wearables.

Capabilities

Developers can build real-time conversational agents, voice-controlled apps, transcription services, and smart home interfaces that run locally on devices from smartphones to Raspberry Pis. The framework supports multiple languages for both STT and TTS, includes voice cloning and speaker diarization, and provides high-level APIs for common tasks. The ceiling includes deploying voice AI on microcontrollers and DSPs, enabling truly embedded voice interaction.

Bottom Line

Moonshine is ideal for developers needing low-latency, private, on-device voice AI for edge devices and real-time applications. It should be avoided if cloud-based services with extensive language support or large model sizes are required. The key trade-off is between full local privacy/speed and the broader ecosystem of cloud-based ASR/TTS services.

Full AI Analysis