The Hugging Face Model Size Chrome extension provides essential information for machine learning practitioners by displaying the size of models listed on Hugging Face. This handy tool integrates seamlessly with your browser, allowing quick reference without navigating away from your work. Users can efficiently understand model sizes, which is crucial for optimizing resource allocation and project planning in ML workflows.

MAGI (Modular AI Generative Intelligence) is an open-source framework designed to simplify the creation and management of AI agents. It offers a plugin architecture for custom tool integration, persistent memory modules, chain-of-thought planning, and real-time orchestration of multi-step workflows. Developers can register external APIs or local scripts as agent tools, configure memory backends, and define task policies. MAGI's extensible design supports both synchronous and asynchronous tasks, making it ideal for chatbots, automation pipelines, and research prototypes.

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.