Since April, we’ve been working on this concept of “muscle memory,” or deterministic replay, for agent systems performing automations. You may recall our first post in May, launching a python package called Muscle Mem: https://news.ycombinator.com/item?id=43988381

Since then, the product has evolved entirely, now taking the form of an LLM Proxy. For a deep dive into this process, check out: https://blog.butter.dev/muscle-mem-as-a-proxy

The proxy’s killer feature is being template-aware, meaning it can reuse cache entries across structurally similar requests. Inducing variable structure from context windows is no easy task, which we cover in a technical writeup here: https://blog.butter.dev/template-aware-caching

The proxy is currently open-access and free to use so we can quickly discover and work through a slew of edge cases and template-induction errors. There’s much work to be done before it’s technically sound, but we’d love to see you take Butter for a spin and share how it went, where it breaks, if it’s helpful, if we're going down a dead end, etc.

Cheers!