Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Moonshot AI is a GitHub organization focused on AI and machine learning research and development. As of the listing snapshot, it hosts 42 public repositories, with areas of work including research, benchmarks, agents, service infrastructure, and community engagement, and its code is available on GitHub.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Msty describes private AI for individuals, teams and organizations, with four products connected as one system: Studio, a private AI workspace; Go, for agents; Nexus, a model gateway hub; and Stack, for organizing knowledge. Studio pricing lists a free tier and an Aurum plan billed yearly at $149 per user.
MyVibe is a tool that uses AI to transform web projects into deployable applications. It allows users to upload, convert, and publish their web creations instantly, and is powered by ArcBlock.
NASGym is a proof-of-concept OpenAI Gym environment for Neural Architecture Search. It implements reinforcement learning steps for NAS and encodes networks using the Neural Structure Code from BlockQNN. A network is modeled as a list of NSCs, an action adds a layer, and the reward is accuracy after early-stop training. CIFAR-10 is the default dataset. The code and documentation may contain minor bugs.
NCNN is a neural network inference framework optimized for mobile, embedded, and desktop deployment. It has no third-party runtime dependencies and runs across CPU and Vulkan GPU backends. Tools such as pnnx convert PyTorch and ONNX models to ncnn, allowing deployment to phones, PCs, browsers, and edge devices. The project is used in several Tencent applications.
NDScala is a Scala 3 library for N-dimensional and multi-dimensional arrays (tensors), described as comparable to NumPy ndarray or PyTorch Tensor, with type safety over shapes, array and axis labels and numeric data types. The repository includes materials on shape-safe neural network training and an ONNXScala component.
Easy-to-use library to boost AI inference.
Netlify is a platform for building and shipping web projects. It allows users to create with AI tools or code and deploy instantly to production infrastructure. The platform includes features such as agent runners, deploy previews, AI gateway, functions, database, observability, security, and a global edge network, and operates an official Discord community for builders.
Neuraxle is an AutoML library that supports hyperparameter tuning via pipeline abstractions to build clean deep learning production pipelines. Pipeline steps can have associated hyperparameter spaces, and the library is compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks, and MLOps environments.
Nextcloud is the most popular open source content collaboration platform, used by tens of millions of users across thousands of organizations globally. Its Nextcloud Hub next-generation digital workspace offers products including file sync and share, video conferencing, groupware, real-time document collaboration, a local AI assistant, and automation tools, with solutions tailored for enterprise, public sector, education, and critical infrastructure use cases.
ngrok is developer infrastructure that routes and secures traffic to apps, APIs and AI models wherever they run, from localhost to production. It offers an AI Gateway, a gateway to services running anywhere, and localhost sharing. It provides a REST-style API at https://api.ngrok.com, plus client libraries, a CLI and a Terraform provider. A guide covers exposing a local MCP server with a stable public HTTPS URL secured by Traffic Policy.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An Easy-to-Use and High-Performance AI deployment framework.
Nos is an open-source module for running AI workloads on Kubernetes, intended to increase GPU utilization, cut infrastructure costs and improve workload performance. It provides dynamic GPU partitioning and elastic resource quota management.
Neural networks framework in pure C: training and inference, no dependencies.
Novu is described as open-source notification and agent communication infrastructure. One API connects AI agents and products to customers across in-app, email, SMS, push, WhatsApp, Slack, Microsoft Teams and Telegram, and an Inbox component can be added to an app. Novu Connect plugs an AI agent into channels such as Slack, Teams, WhatsApp, email and Telegram, starting from templates.
NVIDIA AI is a suite of enterprise artificial intelligence solutions offered by NVIDIA. The portfolio includes accelerated infrastructure, enterprise-grade software, and AI models. Solution areas span agentic AI, inference, conversational AI, data science, and cybersecurity. The program aims to help organizations transform into AI-enabled enterprises.
NVIDIA NIM is a catalog of models offered as inference microservices for deployment on the user's GPU infrastructure. The listings include downloadable models and free or partner endpoints, organized by use cases such as image generation, speech-to-text and drug discovery.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
onWatch is an open-source tool developed by onllm-dev that tracks AI API quotas for services including Synthetic, Z.ai, Anthropic Claude Code, Codex, GitHub Copilot and Antigravity in real time. It functions as a lightweight background daemon that uses less than 50MB of RAM, stores data in SQLite, and provides a Material Design 3 dashboard. The tool does not collect telemetry.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
OpenLIT is an open-source agent harness engineering platform built on OpenTelemetry. It provides tracing, evaluations, guardrails, prompt and context management, and cost and GPU monitoring for the harness around AI agents and coding agents. It is free to self-host under Apache 2.0 and is described as working with many models, frameworks and harnesses.