GQueries
Grounded memory and authorized evidence for production AI
GQueries launched on August 25, 2026 with 2 votes, #5,788 of 23,274 launches that month.
What it does
GQueries gives AI systems a controlled evidence layer between retrieval and the final answer. It combines persistent memory, authorization, provenance and fail-closed grounding so applications can decide not only what information was found, but whether it is actually allowed and sufficiently supported to be used. Bring your own LLM, keep your existing stack, and send only the evidence needed for the current query.
Persistent memory, authorized evidence and fail-closed grounding infrastructure for AI systems.
Give your existing AI a memory it can defend: persistent context, authorized evidence and a fail-closed boundary before unsupported claims reach customers. Reader success varies by task. Bridge containment is measured separately. On 979 frozen support questions, ASM-CM + Bridge 8.1 delivered 93.6% Recall@5 and a 66.5% diagnostic answer score while sending about 1.09K input tokens per question to the reader. At 100 distractors and top-K 10, ASM compact reached a 75% diagnostic answer score with about 2.2K p95 reader-input tokens. BM25 reached 45% with about 4.6K. At 1,000 distractors, ASM compact held 50%; BM25 ranged from 30% to 40% across the measured K values. For agent memory, selecting…from gqueries.com
Does a similar job
all alternatives →
Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
Flagright AI Forensics2023 · flagright.com · ▲108The modern standard in AML compliance through AI agents
- SASearch and chat with millions of court cases using AI.2025 · courtsearch.ai · ▲31
Oodle.ai – $10 per million agent tracesJul 2026 · oodle.ai · ▲31Hi 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 both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
More dev tools this month
the category →
Contribute to oosexgang/hackios-xnu-kernel development by creating an account on GitHub.
Dev tools · 1d ago · github.com
open-source IDE for thoughtful software design. Contribute to devdotfast/whiteboard development by creating an account on GitHub.
Dev tools · 29d ago · github.com
Contribute to reladraw/reladraw development by creating an account on GitHub.
Dev tools · 27d ago · github.com
OpenBot▲362Grok Bot alternative: free, local, open-source, multiplayer
Dev tools · 24d ago · openbot.run
Talanoa▲346Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…
Dev tools · 22d ago · talanoa.email
Source: Product Hunt launch ↗
Launched alongside, August 2026
the whole month →- TL
Life & fun · Aug 2026 · louisabraham.github.io
Clipto MCP▲655Hey 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
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
Astute▲606Automate your B2B brand going viral, with new media creators
AI · Aug 2026 · company-app.joinastute.com