24205
Top stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
Show HN: Muscle-Mem, a behavior cache for AI agents (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6uuUP
Comments: https://readhacker.news/c/6uuUP
Hi HN! Erik here from Pig.dev, and today I'd like to share a new project we've just open sourced:
Muscle Mem is an 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. Like a JIT compiler, for behaviors.
At Pig, we built computer-use agents for automating legacy Windows applications (healthcare, lending, manufacturing, etc).
A recurring theme we ran into was that businesses already had RPA (pure-software scripts), and it worked for them in most cases. The pull to agents as an RPA alternative was not to have an infinitely flexible "AI Employees" as tech Twitter/X may want you to think, but simply because their RPA breaks under occasional edge-cases and agents can gracefully handle those cases.
Using a pure-agent approach proved to be highly wasteful. Window's accessibility APIs are poor, so you're generally stuck using pure-vision agents, which can run around $40/hr in token costs and take 5x longer than a human to perform a workflow. At this point, you're better off hiring a human.
The goal of Muscle-Mem is to get LLMs out of the hot path of repetitive automations, intelligently swapping between script-based execution for repeat cases, and agent-based automations for discovery and self-healing.
While inspired by computer-use environments, Muscle Mem is designed to generalize to any automation performing discrete tasks in dynamic environments. It took a great deal of thought to figure out an API that generalizes, which I cover more deeply in this blog:
https://erikdunteman.com/blog/muscle-mem/
Check out the repo, consider giving it a star, or dive deeper into the above blog. I look forward to your feedback!
Writing N-body gravity simulations code in Python (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6ueLr
Comments: https://readhacker.news/c/6ueLr
The cryptography behind passkeys (Score: 151+ in 12 hours)
Link: https://readhacker.news/s/6utfz
Comments: https://readhacker.news/c/6utfz
A server that wasn't meant to exist (Score: 156+ in 4 hours)
Link: https://readhacker.news/s/6uu9M
Comments: https://readhacker.news/c/6uu9M
Membrane: Media Framework for Elixir (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6ufeM
Comments: https://readhacker.news/c/6ufeM
SMS 2FA is not just insecure, it's also hostile to mountain people (🔥 Score: 158+ in 2 hours)
Link: https://readhacker.news/s/6utBT
Comments: https://readhacker.news/c/6utBT
Databricks and Neon (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6ut8K
Comments: https://readhacker.news/c/6ut8K
Fingers wrinkle the same way every time they’re in the water too long (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6urWr
Comments: https://readhacker.news/c/6urWr
The recently lost file upload feature in the Nextcloud app for Android (Score: 154+ in 7 hours)
Link: https://readhacker.news/s/6usC4
Comments: https://readhacker.news/c/6usC4
Writing that changed how I think about programming languages (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6usuJ
Comments: https://readhacker.news/c/6usuJ
Wise refuses to let us access our $60k AUD (🔥 Score: 153+ in 2 hours)
Link: https://readhacker.news/s/6usKq
Comments: https://readhacker.news/c/6usKq
Airbnb is in midlife crisis mode (Score: 151+ in 13 hours)
Link: https://readhacker.news/s/6ur9F
Comments: https://readhacker.news/c/6ur9F
It Awaits Your Experiments (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6uqk7
Comments: https://readhacker.news/c/6uqk7
Type-constrained code generation with language models (Score: 154+ in 7 hours)
Link: https://readhacker.news/s/6urHP
Comments: https://readhacker.news/c/6urHP
Launch HN: Miyagi (YC W25) turns YouTube videos into online, interactive courses (Score: 152+ in 10 hours)
Link: https://readhacker.news/c/6upPT
Hey HN, we’re Tyrone and Guang, founders of Miyagi Labs (https://miyagilabs.ai), an AI-powered education platform that transforms educational YouTube videos into interactive courses. It helps you learn better through active practice and personalized feedback.
We use LLMs to automatically generate quizzes, practice questions, and real-time feedback from any educational video or resource—turning passive watching into active learning. Here’s a short demo: https://youtu.be/alO7FaorHOY.
Improving education has always been tricky. Bloom’s 2-sigma problem (showing that a high-quality personal tutor is far more effective than conventional methods) has persisted, even as technology has advanced.
We met at MIT as CS majors and have always been passionate about education. Over the years, we’ve become teachers and experts in subjects like chess, algorithms, math, languages, and ninja warrior. A common theme was that we both heavily relied on YouTube to learn.
YouTube has incredible content for learning pretty much anything, but it’s buried in a lot of distractions. Also, passively watching videos is far less effective than taking notes, asking questions, and doing practice problems, which is what we aim to do with Miyagi Labs.
Our solution is essentially a multi-step function that takes in a YouTube playlist (or list of any resources) and outputs an entire course with summaries, questions, answers, and more. The pipeline is roughly: video/resource —> transcript/text —> chunks —> summary and question —> answers to questions, with some other features along the way.
We mostly use prompting and different models at each step to make the course as useful as possible. Certain topics require more practice problems vs. comprehension, and we’d use reasoning models for highly technical subjects.
We launched about three months ago and currently have 400+ courses and partnerships with some businesses and awesome creators. Some of our popular courses include 3Blue1Brown’s linear algebra course, a botany course on plants and ecology, and YC’s How to Start a Startup series.
Our product resembles classical MOOC-style course platforms in terms of UI, but is more interactive. It’s really easy to ask a question or receive custom feedback compared to a static course on Coursera. It’s also comparable to AI tutor sites, but we try to build more of a community and require less activation energy as a learner. We’re basically betting that AI can hugely improve education, but that students still want to learn from their favorite creators and want baseline shared resources for standard topics that are then augmented with personalized features.
You can try it here: https://miyagilabs.ai (no login required for most courses—but if you sign up you can also create your own course).
We’d love your feedback on what kinds of videos/resources you’d like to learn from, what’s missing from current learning tools, and if you know any creators or educators who would like to collaborate. Happy to hear any feedback and answer any questions!
Perverse incentives of vibe coding (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6uuTD
Comments: https://readhacker.news/c/6uuTD
Git Bug: Distributed, Offline-First Bug Tracker Embedded in Git, with Bridges (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6upzw
Comments: https://readhacker.news/c/6upzw
Changes since congestion pricing started in New York (Score: 151+ in 1 day)
Link: https://readhacker.news/s/6upxD
Comments: https://readhacker.news/c/6upxD
Interferometer Device Sees Text from a Mile Away (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6ufjf
Comments: https://readhacker.news/c/6ufjf
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms (🔥 Score: 159+ in 1 hour)
Link: https://readhacker.news/s/6utZb
Comments: https://readhacker.news/c/6utZb
What Is HDR, Anyway? (🔥 Score: 158+ in 2 hours)
Link: https://readhacker.news/s/6utuh
Comments: https://readhacker.news/c/6utuh
How to Build a Smartwatch: Picking a Chip (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6usMa
Comments: https://readhacker.news/c/6usMa
Ash Framework – Model your domain, derive the rest (❄️ Score: 151+ in 4 days)
Link: https://readhacker.news/s/6ufeF
Comments: https://readhacker.news/c/6ufeF
Build real-time knowledge graph for documents with LLM (Score: 150+ in 17 hours)
Link: https://readhacker.news/s/6urfH
Comments: https://readhacker.news/c/6urfH
Failed Soviet Venus lander Kosmos 482 crashes to Earth after 53 years in orbit (❄️ Score: 151+ in 3 days)
Link: https://readhacker.news/s/6ufhn
Comments: https://readhacker.news/c/6ufhn
RPG in a Box (❄️ Score: 152+ in 4 days)
Link: https://readhacker.news/s/6uePR
Comments: https://readhacker.news/c/6uePR
Bus stops here: Shanghai lets riders design their own routes (🔥 Score: 155+ in 2 hours)
Link: https://readhacker.news/s/6uswf
Comments: https://readhacker.news/c/6uswf
Flattening Rust’s learning curve (Score: 156+ in 7 hours)
Link: https://readhacker.news/s/6urKd
Comments: https://readhacker.news/c/6urKd
I failed a take-home assignment from Kagi Search (🔥 Score: 150+ in 2 hours)
Link: https://readhacker.news/s/6usfN
Comments: https://readhacker.news/c/6usfN
Google is building its own DeX: First look at Android's Desktop Mode (Score: 150+ in 8 hours)
Link: https://readhacker.news/s/6uq9d
Comments: https://readhacker.news/c/6uq9d