A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
Mały Modelarz is a magazine publishing features, commentary and specialist editorial coverage in Poland.
A chat LLM based on the state-space model architecture.
A model-agnostic visual debugging tool for machine learning.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Helps teams build, deploy, observe or operate machine-learning systems.
Small Language Model tailored for edge devices.
A platform for deploying and serving machine learning models.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
MiMo Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
ML Visualized supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Version and deploy your ML models following GitOps principles.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.