Muscle-Mem
AI
agent caching sdk
SHOW HN2025
How HN took it
8 positive, 8 neutral or asking, 2 mixed, 3 critical, out of 21 comments about the project. Thread score +0.21.
Idea: 5 for, 2 againstExecution: 0 for, 1 againstDesign: 1 for, 0 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Interesting idea and promising direction for agent memory
From 3 comments
Feels kinda like JIT compiling your agent prompts into code. Awesome concept, hope it pans out.
lherron on HNI've been thinking about this (funnily, also while building a browser use type agent [1]) and I think this is a solid direction to explore. My implementation stores tuples of…
parsabg on HNThis is a neat idea and is similar to something I've been turning over in my head. LLMs are very powerful for taking a bunch of disparate tools/information/etc and generating…
joshstrange on HN
Clean API design
From 1 comment
now that's a beautiful api!
adchurch on HN
Objections
Hard to define cache hits and validate environment state reliably
From 3 comments
Not sure if this can work. We played around with something similar too for computer use, but comparing embeddings to cache validate the starting position is super gray, no clear…
deepdarkforest on HNI love the idea! I think the problem will be defining wether there is a cache-hit or not, since "agents" are loosely defined and the tasks include basically anything.
huevosabio on HNThe tricky question is what env state do you compare in order to decide if its a cache hit or miss? just screen status, screen status + all open apps, that + all running…
swairshah on HN
Could be replaced by a simple bash script or fixing the software
From 2 comments
I love how we are back to “it could have just been a bash script” territory already
zombiwoof on HN> At Pig, we built computer-use agents for automating legacy Windows applications (healthcare, lending, manufacturing, etc). How do you justify this vs fixing the software to…
allmathl on HN
Requests
TypeScript version
From 2 comments
Hi, Erik, any plan to release a typescript library? I think you could reach more developers with a typescript version
android521 on HNWould love to see a TypeScript version too — feels like it could unlock some interesting use cases beyond backend agents.
craftedid on HN
Support for partial trajectory cache hits
From 1 comment
I love the minimal approach and general-use focus. If I understand correctly, the engine caches trajectories in the simplest way possible, so if you have a cached trajectory…
dmos62 on HN
Questions
Whether trajectories could be used to fine-tune a model
From 1 comment
Do you see these trajectories being used to fine tune a model automatically in some way rather then just replay, that way similar workflows might be improved too?
dbish on HN
Alternatives named
Letta / MemGPT
From 1 comment
check out Letta - the OSS codebase (https://github.com/letta-ai/letta) is basically focused on solving the memory/context problem in a generalized way (via "agentic context…
pacjam on HN
Voyager
From 1 comment
This is very similar to what Voyager did https://arxiv.org/abs/2305.16291 Their implementation uses actual code, JS scripts in their case, as the stored trajectories, which has…
edunteman on HN
Prompt caching
From 1 comment
you mean like https://www.anthropic.com/news/prompt-caching or just saving LLM chat message history? If the latter, saving chat history is useless without some snapshot of the…
edunteman on HN