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Show HN: Low-latency local LLM runner via OpenJDK Panama FFM (Java 22)

I wanted to run AI from inside the JVM. I started out with the standard REST sidecar, ripped that out to use Project Panama (Foreign Function & Memory API) in the new JDK versions to interface directly with llama.cpp. I still wasn't happy with how that functioned, so I built libargus.cc to get a clean ABI to expose a structured API up in the JVM landscape. It still uses Project Panama to interface directly with llama.cpp, whisper.cpp, and ggml compute graphs. I have zero-allocation on the hot pa

KingJoker 2026-07-14 22:40 4 原文
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An experimental synth for playable generative sound Discussion | Link

2026-07-14 22:38 7 原文
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Show HN: Oodle.ai – $10 per million agent traces

Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet bo

kirankgollu 2026-07-14 22:36 4 原文