{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5936cd9779504aa5a7dce5d72370c35d\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5936cd9779504aa5a7dce5d72370c35d-47800f1471456996.gif","duration":298.3656,"title":"Muscle Memory System Demo 🎥","description":"In this video, I’m excited to share a demo of the muscle memory system I've been developing. This system allows agents to log and replay tool actions in familiar environments, significantly reducing token costs and improving efficiency. I demonstrate how the engine operates in both agent mode and cache hit scenarios, showcasing its capabilities. Please take a look and let me know your thoughts on the performance and any potential improvements!"}