Panoptès

What it does

An asynchronous multi-platform data ingestion core running entirely in RAM to guarantee absolute data freshness and sovereignty. Built for AI labs and growth teams, it features an embedded AI self-healing layer that auto-repairs mutated HTML selectors on the fly, an automated contract-bound cryptographic checkout gateway, and an interactive terminal playground to stream high-concurrency production-grade JSON on-demand.

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  DropstoneDec 2025 · ▲199

  The Recursive Swarm IDE. 10,000 Agents in one tab

• AU
  Async UI: A Rust UI Library Where Everything is a Future2022 · wishawa.github.io · ▲173
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  Query MemoryMar 2026 · ▲100

  One API for all documents your AI agents need

• AA
  Axax – Async iterator extensions for JavaScript2018 · github.com · ▲74
• MA
  Moss – AI-Powered Semantic Search Running In-Browser (No Cloud)2025 · twitter.com · ▲6

  Hey HN, We’ve been heads-down building MOSS - a semantic memory layer that brings AI-powered search and personalization fully on-device (No cloud | No latency | No data leaving the user’s device) We just launched a live demo showing MOSS running entirely in-browser, performing lightning-fast semantic search over local in-browser VectorDB. This unlocks a new class of privacy-first, hybrid AI experiences that work even without a server connection. If you’re curious about: - how to run AI search right inside the browser - the technical challenges behind on-device vector search - why we believe…

• MG
  MemoryOps – governed memory infrastructure for AI assistantsJun 2026 · github.com · ▲5

  I built a governed memory layer for AI assistants with deletion compaction, vector purge verification, tenant isolation, and audit evidence.

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  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

  AI · 16d ago · simedw.com

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  Astute▲585

  Automate your B2B brand going viral, with new media creators

  AI · 18d ago · company-app.joinastute.com

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  Grok Bot▲547

  AI teammates that you can give real work to

  AI · 25d ago · x.ai

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  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

  AI · 26d ago · cactuscompute.com

• 
  Coldtea.ai▲512

  Make your software self-driving

  AI · 30d ago · coldtea.ai

• 
  Soloop▲472

  Approval-first Agent OS for solo founders

  AI · 30d ago · soloop.io

• TL
  The load-bearing vocabulary of Claude▲703

  Life & fun · 10d ago · louisabraham.github.io

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  Hey Noah▲641

  A proactive AI executive assistant for founders

  AI · Aug 2026 · heynoah.io

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  Clipto MCP▲640

  Let agents source clips from terabytes of your local video

  Work · 18d ago · clipto.com

• SA
  Simple algorithm and color space to generate diverse skin tones▲627

  Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

  Life & fun · Aug 2026 · toneyalexander.github.io

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  AdAnt AI▲608

  Claude for viral, high-converting social ads

  AI · Aug 2026

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  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

  AI · 16d ago · simedw.com