ShivGuruTattva — NirgunaShunya

What it does

An ultra-lean ~291KB local middleware wrapper enforcing absolute post-quantum security and alignment for autonomous AI Agents at the execution layer. 100% network independent with zero outbound dependencies. Built on a <10KB axiomatic logic core, the engine features a certified 100% mitigation rate across 18,081 adversarial vectors, including 2,412 prompt injections and 3,156 semantic drifts. Test the live validation array firsthand via our website-integrated Replit sandbox.

NirgunaShunya is India

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  CtrlAIMar 2026 · github.com · ▲104

  Transparent proxy that secures AI agents with guardrails

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  We post-trained a model that pen tests instead of refusingJun 2026 · argusred.com · ▲93

  Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…

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  Open-source code for a private, infinitely scalable, PQ-secure L1 layerFeb 2026 · github.com · ▲7

  For the past few months, I’ve been working on a new Layer 1 blockchain designed to solve what I see as the fundamental trilemma in the space: achieving strong privacy, infinite scalability, and post-quantum security simultaneously. The result is NERV: a private-by-default, horizontally scalable blockchain that replaces Merkle trees with 512-byte neural state embeddings, proven inside Halo2 circuits and attested in hardware enclaves. Key technical innovations: Neural State Embeddings Instead of Merkle trees, the entire state of a shard is compressed into a 512-byte vector using a transformer…

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  We instrumented Claude Agent SDK using a tiny Rust proxyDec 2025 · laminar.sh · ▲6

  At Laminar (https:&#x2F;&#x2F;github.com&#x2F;lmnr-ai&#x2F;lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk

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  TUICommanderApr 2026 · tuicommander.com · ▲8

  AI-native IDE for multi-agent development

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  Retroguard – Verifiably secure AI guardrailsMay 2026 · retroguard.ai · ▲6

  Cryptographically secure and verifiably robust protection with drop-in integration and outcome-based pricing

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 19d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 19d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

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  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 22d ago · stillwet.art

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  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 5d ago · beam.win

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  FastRouter.ai▲364

  Route requests to the right LLM for cost, latency & quality

  AI · 23d ago · fastrouter.ai

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  The load-bearing vocabulary of Claude▲710

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

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  Hey Noah▲656

  A proactive AI executive assistant for founders

  AI · Aug 2026 · heynoah.io

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  Clipto MCP▲655

  Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…

  Work · Aug 2026 · clipto.com

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  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▲620

  Claude for viral, high-converting social ads

  AI · Aug 2026 · adant.ai

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  Astute▲606

  Automate your B2B brand going viral, with new media creators

  AI · Aug 2026 · company-app.joinastute.com