Show HN: Diamants, an open-source drone swarm to fight wildfires (github.com)

DIAMANTS is an open-source platform that marries high-level swarm strategy with low-level drone control to prototype, simulate and deploy distributed intelligence—its headline mission is an autonomous drone swarm for wildfire response in the VAR region of France. The project demonstrates sim-to-real continuity: high-level mission code emits ROS2 command streams that run identically in Gazebo Garden simulation and on physical Crazyflie fleets, enabling real-time collaborative SLAM (demoed with 8 Crazyflies), TMUX orchestration, WebSocket-backed FastAPI bridging, and a Three.js/WebGL frontend for live mission planning and visualization. Architecturally it uses ROS2 Jazzy, Gazebo, PX4/ArduPilot, MAVROS, Python 3.12, Node.js and modern web tooling (Vite), and is MIT-licensed. For the AI/ML and robotics community DIAMANTS is significant because it packages emergent-behavior research (stigmergy, consensus, Lennard-Jones–style social forces, gradient navigation) into a reproducible, interoperable stack aimed at real-world crisis response. Key implications include validated sim-to-real workflows, distributed multi-agent coordination primitives, and an extensible API for mission definition (YAML/JSON). The project is functional but not yet operational: it requests help with bug fixes, field testing, real-time performance optimizations, ROS2/frontend/hardware integration and documentation—making it a practical contribution point for researchers and engineers wanting to push swarm intelligence toward deployable emergency systems.