Show HN: Built a daily game where you sort historical events chronologically https://ift.tt/8xJRH7S

Show HN: Built a daily game where you sort historical events chronologically https://hisorty.app/ April 23, 2026 at 07:14AM

Show HN: We built an OCR server that can process 270 dense images/s on a 5090 https://ift.tt/lrnsPeF

Show HN: We built an OCR server that can process 270 dense images/s on a 5090 https://ift.tt/bckRNgt April 23, 2026 at 06:21AM

Show HN: Cartoon Studio – an open-source desktop app for making 2D cartoon shows https://ift.tt/CLMDW7n

Show HN: Cartoon Studio – an open-source desktop app for making 2D cartoon shows Hi HN — I built Cartoon Studio, an open-source desktop app for making simple 2D cartoon scenes and shows. The basic flow is: place SVG characters on a scene, write dialogue, pick voices, and render to MP4. It handles word timestamps, mouth cues, and lip-sync automatically. This started as me playing around with Jellypod's Speech SDK and HeyGen's HyperFrames. I wanted a small tool that could go from script to video without a big animation pipeline and next thing I knew I was trying to create my own South Park style show and here we are. :D A few details: - desktop app built with Electron - supports multiple TTS providers through Jellypod's Speech SDK - renders via HyperFrames - lets you upload or generate characters and backdrop scenes - includes default characters/scenes so you can try it quickly - open source It runs from source today. AI features use bring-your-own API keys, but the app itself is fully inspectable and local-first in the sense that there’s no hosted backend or telemetry. Here are some fun examples of the the types of videos you can create: https://ift.tt/sOU8Map https://ift.tt/tpIfRSA And the repo: https://ift.tt/tHF81J9 Happy to answer questions and appreciate any feedback! https://ift.tt/tHF81J9 April 22, 2026 at 11:56PM

Show HN: Real-Real-Time Chat https://ift.tt/wG1gfrh

Show HN: Real-Real-Time Chat Hi HN! Few months ago I've shared a new kind of markdown editor that we (a team of three from the Czech Republic) have been working on (HN post: https://ift.tt/rtFkxZ4 ). What resonated with folks the most was Kraa's unique ‘real-real-time’ chat feature. We have now acted on this feedback, improved the chat features, and made what we call Kraa Trees. Trees allow anyone to create a light-weight community / chat channels. It would be a stretch to call it an alternative to Discord, yet, but we hope that the frictionless nature of Trees will make them useful for small groups that want something simpler, more immediate, and less cluttered. With the live-typing being one of the key differentiating features. You can create your own community/rooms by selecting "Tree of leaves" in the New leaf button dropdown. You don't need an account to try Kraa nor Kraa Trees. We would love to know what you think! https://ift.tt/TJkuqoj April 23, 2026 at 12:50AM

Show HN: Gemini Plugin for Claude Code https://ift.tt/bEOALK7

Show HN: Gemini Plugin for Claude Code I built a plugin that lets Claude Code delegate work to Gemini CLI. I started this after finding myself reaching for Gemini more often on long context repo work. I have been especially liking Gemini’s codebaseinvestigator for long context. This is inspired by openai/codex-plugin-cc. Code Review, adversarial review. Under the hood its Gemini CLI over ACP Would love feedback from people using Claude Code, Gemini CLI, or ACP. I am especially curious whether this feels useful outside my own workflow. Its a great combo with Opus 4.7 + Gemini 3.1 workflows https://ift.tt/my1DKkq April 22, 2026 at 01:41AM

Show HN: MemFactory: Unified Inference and Training Framework for Agent Memory https://ift.tt/wh4qfHG

Show HN: MemFactory: Unified Inference and Training Framework for Agent Memory Memory-augmented Large Language Models (LLMs) are essential for developing capable, long-term AI agents. Recently, applying Reinforcement Learning (RL) to optimize memory operations, such as extraction, updating, and retrieval, has emerged as a highly promising research direction. However, existing implementations remain highly fragmented and task-specific, lacking a unified infrastructure to streamline the integration, training, and evaluation of these complex pipelines. To address this gap, we present MemFactory, the first unified, highly modular training and inference framework specifically designed for memory-augmented agents. Inspired by the success of unified fine-tuning frameworks like LLaMA-Factory, MemFactory abstracts the memory lifecycle into atomic, plug-and-play components, enabling researchers to seamlessly construct custom memory agents via a "Lego-like" architecture. Furthermore, the framework natively integrates Group Relative Policy Optimization (GRPO) to fine-tune internal memory management policies driven by multi-dimensional environmental rewards. MemFactory provides out-of-the-box support for recent cutting-edge paradigms, including Memory-R1, RMM, and MemAgent. We empirically validate MemFactory on the open-source MemAgent architecture using its publicly available training and evaluation data. Across the evaluation sets, MemFactory improves performance over the corresponding base models on average, with relative gains of up to 14.8%. By providing a standardized, extensible, and easy-to-use infrastructure, MemFactory significantly lowers the barrier to entry, paving the way for future innovations in memory-driven AI agents. https://ift.tt/hDjMl8f April 21, 2026 at 11:26PM

Show HN: A fake small claims court for petty complaints https://ift.tt/wtRk5NY

Show HN: A fake small claims court for petty complaints https://ift.tt/efwMzxP April 21, 2026 at 01:04AM