Show HN: Microsoft Agent Viewer https://ift.tt/zuiW0hr

Show HN: Microsoft Agent Viewer I missed clippy and bonzi buddy, so I spent the past few days reversing and implementing microsofts old agent format (acs) and wrote a small viewer on top of it (wasm + typescript) You can check out the code here as well: https://ift.tt/5IxJzBv https://acs-viewer.pages.dev/ December 24, 2025 at 11:13PM

Show HN: Kapso – WhatsApp for developers https://ift.tt/fwyD1Yr

Show HN: Kapso – WhatsApp for developers Hey HN, I'm Andres. I've been building Kapso as a solo founder, and just crossed 4,000 developers, all organic. WhatsApp has 3B+ users and 98% open rates. You'd expect developers to be building tons of stuff on it, especially when the US is the fastest-growing market in WhatsApp usage. But it’s not happening… And I'd bet it's because the DX is painful. Every team needs to build the same features again and again. Meta fires webhooks for everything. There's valuable data in there for debugging, but no way to make sense of it without building your own tooling. That’s why I built Kapso. What you get: - Working WhatsApp API + inbox in 2 minutes, not days - Full observability: every webhook parsed, every message tracked, actual debugging tools - Multi-tenant platform: generate a setup link, customer connects their Meta account, done - Workflow builder for deterministic automations and AI Agents - WhatsApp Flows: build mini apps inside WhatsApp using AI + serverless functions - Docs that work for humans and LLMs We're up to 95% cheaper than Twilio, with a generous free tier (2,000 messages per month). We also open source several tools: a TypeScript client for the WhatsApp Cloud API, a reference WhatsApp Inbox implementation, and a voice AI agent for WhatsApp. GitHub: https://ift.tt/Cm35inw Happy to answer questions! https://kapso.ai/ https://kapso.ai/ December 23, 2025 at 04:17PM

Show HN: Ragctl – document ingestion CLI for RAG (OCR, chunking, Qdrant) https://ift.tt/Mrhda7F

Show HN: Ragctl – document ingestion CLI for RAG (OCR, chunking, Qdrant) Hi HN — sharing ragctl, an open-source CLI for the most failure-prone part of RAG pipelines: document ingestion, OCR, parsing/cleaning, and chunking. Vector DB setup is fairly standardized now, but getting high-quality, consistent text + metadata into it still takes a lot of brittle glue code. ragctl aims to make that “pre-vector” step repeatable: turn messy documents into retrieval-ready chunks in a few commands. Features • Multi-format input: PDF, DOCX, HTML, images • OCR for scanned/image-based docs • Semantic chunking (LangChain) • Batch runs with retries + error handling • Output: direct ingestion into Qdrant (for now) Looking for feedback • DX: is the CLI intuitive? • Performance / edge cases: weird PDFs, mixed layouts, tables • Roadmap: which connectors (S3, Slack, Notion) or vector stores should be next? Repo: https://ift.tt/MFjIyiW Happy to answer questions about the architecture and chunking approach. https://ift.tt/MFjIyiW December 23, 2025 at 10:35PM

Show HN: Turn raw HTML into production-ready images for free https://ift.tt/aGpd7IT

Show HN: Turn raw HTML into production-ready images for free https://html2png.dev December 23, 2025 at 11:18PM

Show HN: A vibe-coded database GUI https://ift.tt/b86XdtS

Show HN: A vibe-coded database GUI https://seaquel.app December 23, 2025 at 03:15AM

Show HN: CineCLI – Browse and torrent movies directly from your terminal https://ift.tt/dArqLlC

Show HN: CineCLI – Browse and torrent movies directly from your terminal Hi HN I built CineCLI — a cross-platform terminal app to browse movies, view details, and open torrents directly in your system torrent client. Features: - Search movies from the terminal - Rich UI with ratings, runtime, genres - Interactive & non-interactive modes - Magnet handling via system default client - Linux/macOS/Windows support - No ads, no tracking GitHub: https://ift.tt/21kGqfN PyPI: https://ift.tt/kW10xKz Would love feedback from terminal + Python folks https://ift.tt/21kGqfN December 23, 2025 at 02:17AM

Show HN: Starships.ai – Build, deploy and orchestrate an AI agent team https://ift.tt/3GfM1bi

Show HN: Starships.ai – Build, deploy and orchestrate an AI agent team Hi, I wanted to create an AI powered team, where agents with different skills and tools could collaborate with each other on complex tasks. But the current solutions felt too developer oriented. I wanted something that felt closer to how humans actually work. So I decided to create Starships.ai, where working with agents feels like talking to a remote employee on Slack. The goal is to create an organization that is primarily run by agents, with humans reviewing critical decisions. I would love to hear what you think, and would love for you to give it a try. Thanks https://starships.ai https://starships.ai December 23, 2025 at 02:03AM