TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
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Mastra is a TypeScript AI framework for building agents and AI applications. It includes built-in memory, tool support, MCP compatibility, and observability features to support development from prototype to production. The framework also offers workflow tools, agent factory functionality, cloud deployment servers, and an agent builder for evaluation and iteration.
Bifrost is an open-source AI gateway for LLMs, MCP and agents, offered by Maxim AI. It provides routing, governance, guardrails and observability, and is described as a drop-in replacement for AI SDKs. Enterprise adds features such as SSO, RBAC, adaptive load balancing, cluster mode and in-VPC deployment, free for 14 days.
MeetGeek is an AI meeting platform that records, transcribes and summarizes meetings, then automates follow-up work. It can join online, hybrid or in-person meetings with a bot or bot-free through desktop, mobile and browser options. Meeting Skills and voice agents act on meetings through tools the user already uses. It is free to start.
Mem0 is a drop-in memory infrastructure tool for AI agents and applications. It provides persistent context for AI systems, is built for production use, and is available as a public repository on GitHub.
Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.
Metaflow is an open-source framework for building and managing ML, AI, and data science projects. It supports using Python libraries, orchestration workflows in Python, versioning, and scaling compute to the cloud, including GPUs. It was originally developed at Netflix and open-sourced in 2019.
MetaGPT is an open-source multi-agent framework hosted on GitHub under the FoundationAgents/MetaGPT repository. It is designed to function as an AI software company system and supports natural language programming capabilities.
The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo.
JARVIS, a system to connect LLMs with ML community.
Model-agnostic SDK for building, orchestrating and deploying AI agents and multi-agent systems, with built-in support for OpenAI, Azure OpenAI, Hugging Face and Nvidia. It offers tools/plugins, memory, planning, vector database integrations and a process framework. Microsoft states that Semantic Kernel is now Microsoft Agent Framework.
📦 Open-Source Models (via Nebius).
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Mistral offers frontier open-weight models that organizations can own and control. Models can be customized with Forge, deployed with Studio, and run on-premises, in a VPC, or in Mistral's cloud. It also provides Vibe, a personal AI agent available on web and mobile.
Machine Learning Visualized is a book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first principles. Each notebook's output is a visualization of the algorithm during training, converging at its optimal weights. Chapters cover optimization, clustering and reduction, linear models and activation functions, and neural networks.
MLflow is an open source AI engineering platform for agents, LLMs, and ML models. It provides tools for debugging, evaluating, monitoring, and optimizing AI applications, including tracing, evaluation metrics, prompt management, an AI gateway, and an agent server. The project is released under the Apache 2.0 license.
MLRun is an open source MLOps platform for building and managing continuous machine learning applications across their lifecycle. It integrates with development and CI/CD environments to automate the delivery of production data, ML pipelines, and online applications.
mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Speed up your Pandas workflows by changing a single line of code.
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.
MovieLens 1M is a stable benchmark dataset of movie ratings containing 1 million ratings from 6000 users on 4000 movies, released in February 2003. It is available as a downloadable archive with a checksum and README.