Mastra provides a visual interface for designing, testing, and deploying AI agents without writing code. Users can drag and drop nodes to create multi-step workflows that integrate language models, computer vision, and custom scripts. Data connectors allow seamless retrieval from databases, CRMs, or web services, while built-in analytics track agent performance. Teams can collaborate in real time, version control workflows, and roll back changes. Once tested, agents can be deployed with a single click to web chat widgets, messaging apps, or REST APIs. Monitoring dashboards surface usage metrics, error alerts, and optimization suggestions to maintain and improve agent effectiveness over time.

Fabric is an AI-native workspace and file explorer tailored for both individuals and teams. It serves as a centralized hub where your drives, clouds, notes, links, and files are automatically gathered, creating an intelligent home. Acting as a copilot for everything you've ever seen or saved, Fabric aims to streamline information management. Users can connect various data sources, create notes, upload files, and save internet content, all within Fabric. Its ML-enriched search capabilities allow for natural language queries, making it easy to find any file or data by idea, concept, or theme.

FastMCP is an open-source Python framework for building MCP (Model Context Protocol) servers and clients that empower LLMs with external tools, data sources, and custom prompts. Developers define tool classes and resource handlers in Python, register them with the FastMCP server, and deploy using transport protocols like HTTP, STDIO, or SSE. The framework’s client library offers an asynchronous interface for interacting with any MCP server, facilitating seamless integration of AI agents into applications.