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December 03, 2025 at 12:00 AM
Show HN: I've made an easy to extend and flexible JavaScript logger
Show HN (score: 5)[Code Quality] Show HN: I've made an easy to extend and flexible JavaScript logger hi! I've made a logger for JS/TS. It's easily extendable, easy to use and configure.<p>Would like to hear a feedback from you!
Show HN: I'm building a "work visa" API for AI agents
Show HN (score: 5)[API/SDK] Show HN: I'm building a "work visa" API for AI agents Hey HN,<p>Iām Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today.<p>I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission?<p>My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where they're going and what they're authorized to do. The MVP I'm launching today is that first step.<p>The core idea is simple: stop giving agents a permanent "passport" (a static API key) and start giving them a temporary "work visa" for each specific task. AgentVisa is a simple API that issues secure, short-lived credentials, linking an agent's task back to a specific user and a set of permissions.<p>To make this more concrete, I've put together a demo you can run locally showing how an agentic customer service bot uses AgentVisa to access an internal API. You can see it here: <a href="https://github.com/AgentVisa/agentvisa-customer-support-demo" rel="nofollow">https://github.com/AgentVisa/agentvisa-customer-support-demo</a><p>Under the hood itās JWTs for now. But the product isn't the token - it's the simple, secure workflow for delegating authority. It's a pattern I needed for my own projects and I'm hoping it's useful to you too.<p>I know there's a "two-sided problem" here - this is most useful when the server an agent connects to can also verify the agent's authenticity. Right now it's ideal for securing your own internal services, which is where I started. My hope is that over time this can be built into a standard that more services adopt.<p>I'm keen for feedback from fellow devs working with AI agents. Does this problem of agent identity and auditability resonate with you? Is the "visa vs. passport" concept clear? What would you want to see on that "Agent Atlas" I mentioned?<p>The Python SDK is open and on GitHub, and there's a generous free tier so you can build with it right away. I'll be here to answer as best I can any questions you have. Thanks for checking it out!<p>SDK: <a href="https://github.com/AgentVisa/agentvisa-python" rel="nofollow">https://github.com/AgentVisa/agentvisa-python</a> Demo: <a href="https://github.com/AgentVisa/agentvisa-customer-support-demo" rel="nofollow">https://github.com/AgentVisa/agentvisa-customer-support-demo</a><p>Note: for us down under itās getting late! So if I miss your comment while asleep, Iāll reply first thing in the morning AEST.
TrustGuardAI
Product Hunt[Testing] Unit-Test Security for LLM Apps TrustGuard AI scans your prompts in CI and blocks jailbreaks in productionāno ML-security expertise required.
Eleven Music API
Product Hunt[API/SDK] First Music API trained on licensed data, commercial-ready You can now integrate the highest quality AI music into your products and workflows. Since launch, creators have generated over 750k songs with Eleven Music.
Fume
Product Hunt[Testing] Get Playwright tests from a Loom video Fume is your AI QA team. Describe what you want to test with a single Loom video and Fume will create Playwright browser tests for you. Tests will automatically run twice-a-day on our cloud and will be maintained automatically!
Crawlbase MCP
Product Hunt[API/SDK] MCP Server for AI Agents to Fetch Real-Time Web Data Crawlbase MCP is an open-source server that lets AI agents like Claude and Cursor fetch real-time HTML, text, and screenshots via Model Context Protocol. SDKs in Node.js, Python, Java, PHP, andNET.
GitHub
Product Hunt[Code Quality] Thegreatbey/env-genie: fast .env linter for humans + ci Stop brokenenv files from breaking your app. Fastenv linter for humans + CI.
SEO Tracer: SEO Spider Crawler for macOS
Product Hunt[Other] Fast & Secure SEO Site Audits Boost your site's SEO with SEO Tracer! Crawl fast, find broken links, analyze meta tags, and optimize. Free, private and secure. SEO Tracer is optimized for macOS, delivering lightning-fast performance and a modern, intuitive interface.
Andiku
Product Hunt[CLI Tool] AI-Powered CLI Documentation Tool If you live in the terminal, switching to a browser to write docs feels⦠wrong. Andiku lets you stay in flow, scan your project, pick files, and generate complete documentation in seconds. Itās AI-powered, code-aware, and works with your exact workflow.
FlexKit
Product Hunt[Other] All in one toolkit for pdf, image, text, and developer tools FlexKit - Your comprehensive toolkit for PDF processing, image editing, text transformation, and developer utilities. No login, no watermark, no ads, free to use. Boost productivity with our user-friendly web tools.
AI-Proxy-Worker
Product Hunt[API/SDK] AI API security proxy š AI API security proxy - Securely access DeepSeek API without exposing keys in frontend - imnotnoahhh/AI-Proxy-Worker
PNG Compressor
Product Hunt[Other] Online image compressor Compress images quickly with PNGOptimize. Reduce file size without losing quality for web and digital projects.
Show HN: Chroma Cloud ā serverless search database for AI
Show HN (score: 8)[Database] Show HN: Chroma Cloud ā serverless search database for AI Hey HN - Iām Jeff, co-founder of Chroma.<p>In December of 2022, I was scrolling Twitter in the wee-hours of the morning holding my then-newborn daughter. ChatGPT had launched, and we were all figuring out what this technology was and how to make it useful. Developers were using retrieval to bring their data to the models - and so I DMād every person who had tweeted about āembeddingsā in the entire month of December. (it was only 120 people!) I saw then how AI was going to need to search to all the worldās information to build useful and reliable applications.<p>Anton Troynikov and I started Chroma with the beliefs that:<p>1. AI-based systems were way too difficult to productionize<p>2. Latent space was incredibly important to improving AI-based systems (no one understood this at the time)<p>On Valentines Day 2023, we launched first version of Chroma and it immediately took off. Chroma made retrieval just work. Chroma is now a large open-source project with 21k+ stars and 5M monthly downloads, used at companies like Apple, Amazon, Salesforce, and Microsoft.<p>Today weāre excited to launch Chroma Cloud - our fully-managed offering backed by an Apache 2.0 serverless database called Chroma Distributed. Chroma Distributed is written in Rust and uses object-storage for extreme scalability and reliability. Chroma Cloud is fast and cheap. Leading AI companies such as Factory, Weights & Biases, Propel, and Foam already use Chroma Cloud in production to power their agents. It brings the āit just worksā developer experience developers have come to know Chroma for - to the Cloud.<p>Try it out and let me know what you think!<p>ā Jeff
Launch HN: Reality Defender (YC W22) ā API for Deepfake and GenAI Detection
Hacker News (score: 52)[API/SDK] Launch HN: Reality Defender (YC W22) ā API for Deepfake and GenAI Detection Hi HN! This is Ben from Reality Defender (<a href="https://www.realitydefender.com">https://www.realitydefender.com</a>). We build real-time multimodal and multi-model deepfake detection for Fortune 100s and governments all over the world. (We even won the RSAC Innovation Showcase award for our work: <a href="https://www.prnewswire.com/news-releases/reality-defender-wins-most-innovative-startup-at-rsa-conference-2024-innovation-sandbox-302137326.html" rel="nofollow">https://www.prnewswire.com/news-releases/reality-defender-wi...</a>)<p>Today, weāre excited to share our public API and SDK, allowing anyone to access our platform with 2 lines of code: <a href="https://www.realitydefender.com/api">https://www.realitydefender.com/api</a><p>Back in W22, we launched our product to detect AI-generated media across audio, video, and images: <a href="https://news.ycombinator.com/item?id=30766050">https://news.ycombinator.com/item?id=30766050</a><p>That post kicked off conversations with devs, security teams, researchers, and governments. The most common question: "Can we get API/SDK access to build deepfake detection into our product?"<p>Weāve heard that from solo devs building moderation tools, fintechs adding ID verification, founders running marketplaces, and infrastructure companies protecting video calls and onboarding flows. They werenāt asking us to build anything new; they simply wanted access to what we already had so they could plug it in and move forward.<p>After running pilots and engagements with customers, weāre finally ready to share our public API and SDK. Now anyone can embed deepfake detection with just two lines of code, starting at the low price of free.<p><a href="https://www.realitydefender.com/api">https://www.realitydefender.com/api</a><p>Our new developer tools support detection across images, voice, video, and text ā with the former two available as part of the free tier. If your product touches KYC, UGC, support workflows, communications, marketplaces, or identity layers, you can now embed real-time detection directly in your stack. It runs in the cloud, and longstanding clients using our platform have also deployed on-prem, at the edge, or on fully airgapped systems.<p>SDKs are currently available in Python, Java, Rust, TypeScript, and Go. The first 50 scans per month are free, with usage-based pricing beyond that. If youāre working on something that requires other features or streaming access (like real-time voice or video), email us directly at yc@realitydefender.com<p>Much has changed since 2022. The threats we imagined back then are now showing up in everyday support tickets and incident reports. Weāve witnessed voice deepfakes targeting bank call centers to commit real-time fraud; fabricated documents and AI-generated selfies slip through KYC and IDV onboarding systems; fake dating profiles, AI-generated marketplace sellers, and āverifiedā influencers impersonating real people. Political disinformation videos and synthetic media leaks have triggered real-world legal and PR crises. Even reviews, support transcripts, and impersonation scripts are increasingly being generated by AI. Detection remains harder than we first expected since we began in 2021. New generation methods emerge every few weeks that invalidate prior assumptions. This is why we are committed to building every layer of this ourselves. We donāt license or white-label detection models; everything we deploy is built in-house by our team.<p>Since our original launch, weāve worked with tier-one banks, global governments, and media companies to deploy detection inside their highest-risk workflows. However, we always believed the need wasnāt limited to large institutions, but everywhere. It showed up in YC office hours, in early bug reports, and in group chats after our last HN post.<p>Weāve taken our time to make sure this was built well, flexible enough for startups, and battle-tested enough to trust in production. The API you can use today is the same one powering many of our enterprise deployments.<p>Our goal is to make Reality Defender feel like Stripe, Twilio, or Plaid ā an invisible, trusted layer that you can drop into your system to protect what matters. We feel deepfake detection is a key component of critical infrastructure, and like any good infrastructure, it should be modular, reliable, and boring (in the best possible way).<p>Reality Defender is already in the Zoom marketplace and will be on the Teams marketplace soon. We will also power deepfake detection for identity workflows, support platforms, and internal trust and safety pipelines.<p>If you're building something where trust, identity, or content integrity matter, or if youāve run into weird edge cases you canāt explain, weād love to hear from you.<p>You can get started here: <a href="https://realitydefender.com/api">https://realitydefender.com/api</a><p>Or you can try us for free two different ways:<p>1) 1-click add to Zoom / Teams to try in your own calls immediately.<p>2) Email us up to 50 files at yc@realitydefender.com and weāll scan them for you ā no setup required.<p>Thanks again to the HN community for helping launch us three years ago. Itās been a wild ride, and weāre excited to share something new. We live on HN ourselves and will be here for all your feedback. Let us know what you think!
Show HN: Memori ā Open-Source Memory Engine for AI Agents
Show HN (score: 14)[Other] Show HN: Memori ā Open-Source Memory Engine for AI Agents Hey HN! I'm Arindam, part of the team behind Memori (<a href="https://memori.gibsonai.com/" rel="nofollow">https://memori.gibsonai.com/</a>).<p>Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents donāt lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions.<p>Weāve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action.<p>Current LLMs are stateless ā they forget everything between sessions. This leads to repetitive interactions, wasted tokens, and inconsistent results. When building AI agents, this problem gets even worse: without memory, they canāt recover from failures, coordinate across steps, or apply simple rules like āalways write tests.ā<p>We realized that for AI agents to work in production, they need memory. Thatās why we built Memori.<p>Memori uses a multi-agent architecture to capture conversations, analyze them, and decide which memories to keep active. It supports three modes:<p>- Conscious Mode: short-term memory for recent, essential context. - Auto Mode: dynamic search across long-term memory. - Combined Mode: blends both for fast recall and deep retrieval.<p>Under the hood, Memori is SQL-first. You can use SQLite, PostgreSQL, or MySQL to store memory with built-in full-text search, versioning, and optimization. This makes it simple to deploy, production-ready, and extensible.<p>Memori is backed by GibsonAIās database infrastructure, which supports:<p>- Instant provisioning - Autoscaling on demand - Database branching & versioning - Query optimization - Point of recovery<p>This means memory isnāt just stored, itās reliable, efficient, and scales with real-world workloads.<p>Weāve open-sourced Memori under the Apache 2.0 license so anyone can build with it. You can check out the GitHub repo here: <a href="https://github.com/GibsonAI/memori" rel="nofollow">https://github.com/GibsonAI/memori</a>, explore the docs, and join our community on Discord.<p>Weād love to hear your thoughts. Please dive into the code, try out the demos, and share feedback, your input will help shape where we take Memori from here.
Show HN: Typed-arrow ā compileātime Arrow schemas for Rust
Hacker News (score: 16)[Other] Show HN: Typed-arrow ā compileātime Arrow schemas for Rust Hi community, we just released <a href="https://github.com/tonbo-io/typed-arrow" rel="nofollow">https://github.com/tonbo-io/typed-arrow</a>.<p>When working with arrow-rs, we noticed that schemas are declared at runtime. This often leads to runtime errors and makes development less safe.<p>typed-arrow takes a different approach:<p>- Schemas are declared at compile time with Rustās type system.<p>- This eliminates runtime schema errors.<p>- And introduces no runtime overhead ā everything is checked and generated by the compiler.<p>If youāve run into Arrow runtime schema issues, and your schema is stable (not defined or switched at runtime), this project might be useful.
bytebot-ai/bytebot
GitHub Trending[DevOps] Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
enescingoz/awesome-n8n-templates
GitHub Trending[Other] Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.
Alias Manager
Product Hunt[Other] Manage Git and shell aliases fast on macOS A tiny desktop app to mTiny, open-source macOS app to view, add, and edit Git aliases and shell aliases. Built quickly to solve a real itch. Itās beta and Iād love feedback. PRs welcome. The icon is temporary š
Drive PDF Exporter
Product Hunt[Other] Save Google Drive "View Only" PDFs in one click Drive PDF Exporter is a Chrome extension that lets you save Google Drive "View Only" PDFs. It loads every page, retries automatically if something fails, and exports the full document locally, all directly in your browser.