Alternatives
Products that do what Invenio does
Local AI search for Mac video & photo libraries
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Heeey! I built a macOS copilot that has been useful to me, so I open sourced it in case others would find it useful too. It's pretty simple: - Use a keyboard shortcut to take a screenshot of your active macOS window and start recording the microphone. - Speak your question, then press the keyboard shortcut again to send your question + screenshot off to OpenAI Vision - The Vision response is presented in-context/overlayed over the active window, and spoken to you as audio. - The app keeps running in the background, only taking a screenshot/listening when activated by keyboard…
2023 · github.com
- 8AS
Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP. What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on…
May 2026 · github.com
- 9LA
I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
Feb 2026 · github.com
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I wrote this tool to get familiar with CLIP model, I know many people have written similar tools with CLIP before, but I'm new to machine learning and writing a classic tool helps my study. The unusual thing with my version is, it is in pure Node.js, with the power of node-mlx, a Node.js machine learning framework. The repo in the link is mostly about implementing indexing and CLI, the code of the model implementation lives as a Node.js module: https://github.com/frost-beta/clip . Hope this helps other learners!
2024 · github.com
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Demo of LOCAL Browser agent (powered by Web GPU Liquid LFM & Alibaba Qwen models) opening the All in Podcast on Youtube running as a chrome extension. Source: https://github.com/RunanywhereAI/on-device-browser-agent Post: https://www.reddit.com/r/LocalLLaMA/comments/1qh10q9/comment... Geting in the support for web sdk soon, meanwhile have full support for mobile sdks : https://github.com/RunanywhereAI/runanywhere-sdks
Jan 2026 · github.com
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