Show HN: Relational-to-KV – AI maps relational models to ToplingDB/RocksDB https://ift.tt/ZcGuoqw

Show HN: Relational-to-KV – AI maps relational models to ToplingDB/RocksDB https://ift.tt/9nTYjzd August 13, 2026 at 04:58AM

Show HN: UTC Time - live clock, ISO 8601, Unix timestamp https://ift.tt/Q5g1qdp

Show HN: UTC Time - live clock, ISO 8601, Unix timestamp https://utctime.app/ August 13, 2026 at 01:04AM

Show HN: I asked Claude to write DDIA as a live comic https://ift.tt/PiaRCIl

Show HN: I asked Claude to write DDIA as a live comic https://ift.tt/vuVXi6q August 13, 2026 at 12:53AM

Show HN: Agent Memory Leaderboard – first public results for AI memory systems https://ift.tt/vZRNA32

Show HN: Agent Memory Leaderboard – first public results for AI memory systems We just released the first public results from the Agent Memory Leaderboard (AML). The first evaluation focuses on Text Memory across two tracks: - Open-source Methods - Commercial Products 136 teams registered, and 69 representative memory frameworks completed the first evaluation. Commercial Products — Text Memory: 1. MemoraX — 58.02 2. MemOS — 45.89 3. NTES-MEMORY-SMART — 44.21 The benchmark uses a common evaluation framework and a clearer system boundary: Memory system: Add → Search Benchmark: Answer → Eval The goal is to make memory-system results more comparable and reproducible. https://ift.tt/JF4ydKv August 13, 2026 at 12:09AM

Show HN: Play Chess. Earn coins. Build an army https://ift.tt/PwGvKjn

Show HN: Play Chess. Earn coins. Build an army Hi there. I'm testing this hypothesis with new chess rules. These changes to the rules can be easily brought to offline games as well. Also if you are brave and have an Apple device here is the link to TestFlight to play with mobile version https://ift.tt/2eUu9Z0 https://chesspoly.com/ August 12, 2026 at 08:39AM

Show HN: Woxi - Open-source Mathematica / Wolfram Language reimplementation https://ift.tt/lRqynbc

Show HN: Woxi - Open-source Mathematica / Wolfram Language reimplementation Woxi is an interpreter for the Wolfram Language written in Rust. It comes with Woxi Studio, a Mathematica-like GUI built with iced, but you can also use Woxi through a CLI, Jupyter kernel, Python package, npm package, or WASM module. Compared with wolframscript / Mathematica, the main differences are: - Free and open source - Very fast startup - Typically milliseconds rather than seconds for the Wolfram kernel, making Woxi practical for shell scripts, one-liners, and other short-lived processes - Embeddable - It can run in a browser via WASM or be embedded into another application as a scripting language A more detailed comparison with Mathematica is available here: https://ift.tt/vdFhQ6t . Conformance is ensured with ~26'000 unit tests and ~900 .wls script snapshot tests. The current focus is on fixing remaining edge cases, improving performance, and growing the community. If you use the Wolfram Language, I'd be particularly interested in feedback on compatibility and missing functionality. Contributions and bug reports are also very welcome: https://ift.tt/bdvRFak https://woxi.ad-si.com August 12, 2026 at 07:06AM

Show HN: Kernelspace- interactive course on systems programming for LLM Serving https://ift.tt/O6qa2Pt

Show HN: Kernelspace- interactive course on systems programming for LLM Serving Hi HN, *I* built kernelspace - a free and interactive course that takes a backend engineer (like me) with java/python experience to the systems level required to work on LLM serving at scale. (Mostly an attempt for me to understand what everyone's talking about lately and also an attempt at staying up to date to current tech - career wise). It has: 1. 68 Lessons across 9 tracks, with a rust-from-zero ramp. 2. 8 rust labs - BPE tokenizer, KV block manager, radix cache, batching scheduler, a toy executor 3. 9 simulators running in browser (wasm) - roofline model, KV cache pressure, continuous batching dynamics 4. Fleet week - a simulated prod serving fleet All progresss is local - there is no server (it's served from github pages, repo here https://ift.tt/Ct98XhW ) Feedback appreciated, and contributions welcome. I want to make this a really good course for me (and everyone else like me). * (OK, I had sol and kimi on it for most part) https://ift.tt/7mdMLp6 August 11, 2026 at 10:20PM