Top AI Open Source Projects to Watch in 2025

MegaTTS3: A high-quality zero-shot text-to-speech model developed by ByteDance, supporting Chinese and English voice cloning.

High-quality multilingual text-to-speech library developed by MyShell.ai, supporting English, Spanish, French, Chinese, Japanese, and Korean.

Python module to use Microsoft Edge's online text-to-speech service for free, without Edge browser, Windows system, or API key.

CosyVoice: A multilingual large-scale speech generation model providing full-stack capabilities for inference, training, and deployment.

Dia: A text-to-speech (TTS) model capable of generating hyper-realistic conversations in one go.

OpenVoice: Instant voice cloning technology co-developed by MIT and MyShell, enabling multilingual voice cloning based on audio foundation models.

Unsloth: Efficient fine-tuning and reinforcement learning tool for large language models - 2x faster training, 70% less memory usage

GPT-SoVITS: A few-shot voice cloning tool that can train a high-quality TTS model with just 1 minute of voice data.

ChatTTS-ui: A simple local web interface that uses ChatTTS to synthesize text into speech, while also supporting external API interfaces.

Spark-TTS: An efficient text-to-speech system based on large language models, supporting zero-shot voice cloning and controllable speech generation.

Coqui TTS: A deep learning toolkit for text-to-speech, proven through research and production practice.

An open-source text-to-speech system built by reverse-engineering Whisper

A generative speech model designed specifically for dialogue scenarios, supporting mixed Chinese and English input and multi-speaker capabilities.

A high-performance C/C++ port of the OpenAI Whisper speech recognition model, supporting pure CPU inference and multi-platform deployment.

Official inference library for Mistral models, containing the minimal code implementation to run Mistral AI models.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference, supporting deep learning applications such as computer vision, automatic speech recognition, generative AI, and natural language processing.

PowerInfer is a high-speed large language model inference engine designed for local deployment, leveraging sparse activation and a CPU/GPU hybrid architecture to achieve fast LLM inference on consumer-grade hardware.

The simplest way to deploy AI applications and model services - build model inference APIs, task queues, LLM applications, multi-model pipelines, etc.

GPT4All: An open-source AI chatbot application for running local large language models on any device.

MCP Database Toolbox is an open-source MCP server designed to simplify database tool development, providing features like connection pooling and authentication.

Model Context Protocol (MCP) server implementation providing database functionality for Chroma, supporting AI data retrieval capabilities such as vector search, full-text search, and metadata filtering.

ClickHouse MCP server, providing secure ClickHouse database query capabilities for AI assistants through the Model Context Protocol.

A collection of Model Context Protocol (MCP) servers for connecting to Cloudflare services and completing tasks using natural language.

A Model Context Protocol server connector for the Perplexity API, enabling web search functionality without leaving the MCP ecosystem.

MCP (Model Context Protocol) server that allows AI assistants (like Claude) to perform web searches via the Exa AI Search API.