Show HN: Muscle-Mem, a behavior cache for AI agents

Muscle Memory muscle-mem is a behavior cache for AI agents. It is a Python SDK that records your agent's tool-calling patterns as it solves tasks, and will deterministically replay those learned trajectories whenever the task is encountered again, falling back to agent mode if edge cases are detected. The goal of muscle-mem is to get LLMs out of the hotpath for repetitive tasks, increasing speed, reducing variability, and eliminating token costs for the many cases that could have just been a script. It's unexplored territory, so all feedback is welcome! Dev Log May 7, 2025 - First working demo May 8, 2025 - Open sourced How It Works muscle-mem is not another agent framework. You implement your agent however you want, and then plug it into muscle-mem 's engine. When given a task, the engine will: determine if the environment has been seen before (cache-hit), or if it's new (cache-miss) using Checks perform the task, either using the retrieved trajectory on cache-hit, or pas ... Read full article.