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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 #15225 · 10/15/2025, 01:00 PM

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#mdx#bilateral_teleoperation#force_feedback#genesis#gravity_compensation#humanoid_robot#imitation_learning#machine_learning#moveit2#mujoco#open_source#openarm#python#reinforcement_learning#robot#robot_arm#robotics#ros2#teleoperation OpenArm is a special robot arm that helps with physical AI research. It has 7 degrees of freedom, which means it can move like a human arm. This makes it good for tasks that involve touching or moving things safely around people. The robot is open-source, meaning anyone can build, modify, and use it. This is helpful because it makes advanced robotics available to more people, like researchers and students, without costing too much. A complete system with two arms costs about $6,500, which is much cheaper than similar robots. https://github.com/enactic/openarm

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