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.

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.

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

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

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.

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

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.

Implementation of the Model Context Protocol (MCP) server for Apify Actors, enabling AI applications to use any Apify Actor as a tool for tasks like data extraction and web scraping.

Playwright-based Model Context Protocol (MCP) server providing browser automation capabilities for LLMs

A tool that provides a Model Context Protocol (MCP) service for Ghidra, enabling large language models to perform reverse engineering analysis autonomously.

An AI chat client implementing the Model Context Protocol (MCP) - a multi-platform intelligent conversation tool.

AI-powered multi-agent builder - An open-source IDE for quickly building, deploying, and managing agent systems

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

MindSpore is a full-scenario deep learning framework designed to provide developers with a friendly design, efficient execution, and flexible deployment experience. It supports deployment on the cloud, edge, and device, and provides a rich model library and tools to help AI application development.

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.

Oneflow is a deep learning framework designed for production environments. It features automatic parallelism and distributed training.