Replacing my OS process scheduler with an LLM
Replacing the OS process scheduler with an LLM. Contribute to mprajyothreddy/brainkernel development by creating an account on GitHub.
Replacing my OS process scheduler with an LLM launched on December 30, 2025 with 77 votes, #384 of 11,628 launches that month and more than 95% of that year's launches.
In plain words
This project replaces a traditional operating system process scheduler with a large language model. Instead of using conventional algorithms to decide which processes run next, the system uses an LLM to make scheduling decisions. It is designed for developers and researchers interested in experimenting with AI-driven system components and exploring how language models might handle resource allocation tasks. The work is available on GitHub for technical review and experimentation.
written from the facts on this page · September 2026
From the sources
┏┓ ┏━┓┏━┓╻┏┓╻╻┏ ┏━╸┏━┓┏┓╻┏━╸╻ ┣┻┓┣┳┛┣━┫┃┃┗┫┣┻┓┣╸ ┣┳┛┃┗┫┣╸ ┃ ┗━┛╹┗╸╹ ╹╹╹ ╹╹ ╹┗━╸╹┗╸╹ ╹┗━╸┗━╸ "What if the Linux Kernel had a prefrontal cortex?" BrainKernel is a TUI (Terminal User Interface) process manager that uses an LLM to analyze why a process is running. It doesn't just show CPU usage; it looks at parentage, disk I/O, and behavior history to distinguish between "Critical System Update" (Safe) and "Vendor Bloatware" (Kill). Since you aren't running a local LLM, you will use the Groq API (It's free and extremely fast). pip install psutil textual 2. Run BrainKernel python main.py 3. Add Your Brain (API Key) Get a free API Key from console.groq.com . Launch BrainKernel. Press k to open…from github.com
Does a similar job
all alternatives →
Why write code if the LLM can just do the thing? (web app experiment)Nov 2025 · github.com · ▲436I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Find the best local LLM for your hardware, ranked by benchmarksMay 2026 · github.com · ▲283Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm
My LLM CLI tool can run tools now, from Python code or plugins2025 · simonwillison.net · ▲529LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool—and Python library—to grant LLMs from …
Yet another memory system for LLMs2025 · github.com · ▲165Built this for my LLM workflows - needed searchable, persistent memory that wouldn't blow up storage costs. I also wanted to use it locally for my research. It's a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I'm currently using in the repo. The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)2023 · github.com · ▲45G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
Llm2sh – Translate plain-language requests into shell commands2024 · github.com · ▲67This is my take on the common "use llms to generate shell commands" utility. Emphasis is placed on good CLI UX, simplicity, and flexibility. `llm2sh` supports multiple LLM providers and lets LLMs generate multi-command sequences to handle complex tasks. There is also limited support for commands requiring `sudo` and other basic input. I recommend using Groq llama3-70b for day-to-day use. The ultra-low latency is a game-changer - its near-instant responses helps `llm2sh` integrate seamlessly into day-to-day tasks without breaking you out of the 'zone'. For more advanced tasks, swapping to…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, December 2025
the whole month →- GP
Life & fun · Dec 2025 · dosaygo-studio.github.io
Hi everyone! My name's Luke and I made the original Jmail here alongside Riley Walz. We had a ton of friends collaborate on building out more of the app suite last night in lieue of DOJ's "Epstein files" release. Please AMA!
Life & fun · Dec 2025 · jmail.world
PlanEat AI▲733AI turns your health goals into a 7-day menu & grocery list
AI · Dec 2025 · planeatai.com
Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
Dev tools · Dec 2025 · hackerbook.dosaygo.com
