DataGPTD is a robust browser-based data analysis tool designed to empower users by simplifying data handling and analytics. It allows you to visualize, collaborate, and compute your data without the need for server uploads, ensuring security and efficiency. By converting text to executable code through WebAssembly in a sandbox and leveraging language models, DataGPTD streamlines complex data tasks and provides insights, making it a versatile tool for data-driven decision-making.

Local-Super-Agents provides a Python-based platform for creating autonomous AI agents that run entirely locally. The framework offers modular components including memory stores, toolkits for API integration, LLM adapters, and agent orchestration. Users can define custom task agents, chain actions, and simulate multi-agent collaboration within a sandboxed environment. It abstracts complex setup by offering CLI utilities, pre-configured templates, and extensible modules. Without cloud dependencies, developers maintain data privacy and resource control. Its plugin system supports integrating web scrapers, database connectors, and custom Python functions, empowering workflows such as autonomous research, data extraction, and local automation.