LemLab is a modular framework for developing AI agents powered by large language models. Developers can define custom prompt templates, chain multi-step reasoning pipelines, integrate external tools and APIs, and configure memory backends to store conversation context. It also includes evaluation suites to benchmark agent performance on defined tasks. By providing reusable components and clear abstractions for agents, tools, and memory, LemLab accelerates experimentation, debugging, and deployment of complex LLM applications within research and production environments.

Quadratic is a revolutionary spreadsheet application designed for modern data collaboration. It features built-in support for Python programming, SQL queries, and AI-powered tools. The platform allows teams to work seamlessly with data, utilizing advanced data science and analytical tools to gather insights efficiently. Users can pull data from various sources including SaaS, databases, CSV files, and APIs, and manipulate it directly within the spreadsheet interface. Ideal for data scientists, analysts, and collaborative teams, Quadratic allows for sophisticated data manipulation and decision-making.