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@TestFlightX · Post #34682 · 11/21/2024, 02:47 PM
#D#ROS https://testflight.apple.com/join/cFKaKfro
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Source channel @githubtrending · Post #14793 · Jun 5
#python#agents#ai#ai_agents#llm#llms#mcp#model_context_protocol#python The Model Context Protocol (MCP) is a standard way for AI agents to connect with different tools and data sources, making it much easier to build powerful AI applications without writing custom code for each integration[2][5]. The mcp-agent framework uses MCP to let you quickly create agents that can do things like read files, fetch web pages, or manage emails, and you can combine these agents in flexible ways to handle complex tasks. This means you can focus on what you want your AI to do, while mcp-agent takes care of connecting to the right tools and managing the workflow, saving you time and effort[3][5]. https://github.com/lastmile-ai/mcp-agent
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@githubtrending · Post #15616 · 04/15/2026, 12:00 PM
#cplusplus#hap#mid_360#ros#ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2
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@githubtrending · Post #14795 · 06/05/2025, 02:30 PM
#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects. https://github.com/ArduPilot/ardupilot