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.

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

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

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 Python-based Model Context Protocol (MCP) server that integrates Wolfram Alpha via API, providing math, science, and data query capabilities for chat applications.

Serena is a powerful coding agent toolkit that transforms large language models (LLMs) into a fully functional agent, working directly on your codebase.

A lightweight wrapper to make Anthropic's Model Content Protocol (MCP) tools compatible with LangChain and LangGraph.

Official Redis MCP server providing a natural language interface for intelligent agent applications, efficiently managing and searching Redis data.

MLC LLM: Locally compile, optimize, and deploy any LLM on a variety of devices.

DeepSpeed-MII: Easily deploy and run large AI models with the DeepSpeed optimization engine, achieving low latency and high throughput.

OpenLLM: An open platform for building, running, and deploying large language models in production.

Streamlit is a Python library that allows you to create beautiful, custom web applications with pure Python code for machine learning, data science, and more.

Text Generation Inference (TGI) is a Rust library for deploying text generation models at scale. It is designed for high performance, low latency, and efficient resource utilization, especially suitable for production environments.

FastChat is an open platform for training, serving, and evaluating large language models.