A

autonomous-agents

crewmaster is a powerful and flexible framework for building, orchestrating, and deploying multi-agent systems. It provides a structured, type-safe, and modular approach to creating intelligent crews that can solve complex, multi-step problems.

A sophisticated multi-agent system designed to streamline software development projects through intelligent task automation, resource discovery, and progress tracking.

A sophisticated multi-agent system built with CrewAI that demonstrates the power of collaborative AI agents for content creation and email optimization. This project showcases how multiple specialized AI agents can work together to accomplish complex tasks through research, writing, and communication enhancement.

This project demonstrates the use of the Agno framework to build AI-powered agents with various tools and integrations, including stock price analysis, knowledge base search, WhatsApp messaging, Gmail, and Discord automation.

un autómata celular, basado en la Hormiga de Langton.

Official implementation of the paper "NeSyMoF: A Neuro-Symbolic Modelfor Motion Forecasting". Accepted as conference paper in IROS 2024.

Rust crate to translate between 1D indices and 2D coordinates with wrapping https://crates.io/crates/wrapping_coords2d

Reliable and efficient agent-based models in Rust