INXM // local` OSS for using LLM as compiler and not as runtime
The LLM is the compiler, not the runtime. Contribute to inxm-ai/inxm-local development by creating an account on GitHub.
INXM // local` OSS for using LLM as compiler and not as runtime launched on August 19, 2026 with 5 votes, #1,809 of 23,274 launches that month and more than 75% of that year's launches.
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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 …
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
Replacing my OS process scheduler with an LLMDec 2025 · github.com · ▲77Replacing the OS process scheduler with an LLM. Contribute to mprajyothreddy/brainkernel development by creating an account on GitHub.
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Hello HN, I've been working on this project for a while, and it has been in an "open" beta for some time. I finally believe it's ready for its first release. I hope you like it. Here are some potential questions that may arise: 1. How does it compare to LM Studio? It's likely that if you're already using LM Studio, you'll continue to do so. This project is designed to be more user-friendly. 2. Is it open-source? No, it is not. 3. Does it use any open-source libraries? Yes, it uses llama.cpp and a few others, as indicated in the license information included with the application. 4. Why is not…

Open-Source Alternative to OpenAI Platform, for Local Models2025 · github.com · ▲93Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
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