Projects with this topic
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Local agent-session record lake: Parquet + DuckDB over harness transcripts. Cost analytics, correction mining, simulation priors.
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Arcingtime Nosce is a free, open-source app for keeping your own health record — every home test you run, in one place, on hardware you control.
The premise is self-knowledge as an early-warning system. A single reading rarely means much; several drifting the wrong way at once, caught early, is something you can act on. Years of your own consistent numbers build a feel for your baseline that an annual checkup can't. It makes no diagnoses and isn't trying to replace a doctor.
What you track: blood glucose and ketones with a calculated GKI, blood pressure, SpO2 and pulse, weight and height with BMI, and urine pH — each with a logging form, full history, reference ranges to read a result against, and a best-practices tab. Fasting sessions get a live elapsed timer, editable start and end times, and duration milestones. Askesis tracks weighted-hike conditioning, scoring each week's reps and distance against your recent average.
Details that come from actually using it: every reading records how long you'd been fasting when you took it, computed automatically. The glucose/ketone screen tells you whether a test is worth a strip right now, and once it has enough of your paired readings it learns the glucose level above which your own ketones run low — so you stop spending strips to confirm what it already knows.
Your data lives in local SQLite and the app is fully usable with no network connection. Backup and restore is a single JSON file. Choose and reorder the metric cards, set your units and theme.
Built with Flutter. Packaged for Linux as an AppImage; Android and Windows planned. No iOS or macOS, by design. Licensed GPL-3.0.
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Horizon Runtime is an AGPL-3.0+ universal AI runtime built for adaptive mixed-precision inference, reasoning models, multimodal systems, and distributed AI workloads. Designed to be hardware-agnostic and future-proof, it provides a unified execution platform for open-source AI across local devices, enterprise infrastructure, and large-scale deployments. Built Together for the Future. https://roxanneardary.com/horizon-runtime/
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LocaleMaterials is an open-source, modular AI platform that helps users design and build with regenerative, locally sourced, and climate-adaptive materials. It analyzes geography, climate, and real-world supply chains to recommend the most economically and environmentally optimal building systems for any location, then translates those insights into practical, code-aware, build-ready guidance. https://roxanneardary.com/localematerials/
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PostSquire is a local-first Go TUI for preparing and validating social campaign drafts, then handing them off to browser composers for human-controlled publishing.
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Local-first observability for personal AI infrastructure: network traffic attribution and AI token usage · 本地优先的个人 AI 基础设施可观测:网络流量归因与 AI Token 用量
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A minimalist Android todo app with a quest-log aesthetic. Your tasks are "quests", kept as plain Markdown files you own. Local-first, offline, no accounts or telemetry.
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AI-native Kanban and Codex chat fusion for DeepSeek Harness
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Shoebox+ is an open-source AI-powered platform designed to help users maximize the benefits of their Health Savings Accounts (HSAs). It combines receipt tracking, IRS compliance monitoring, investment optimization, and financial institution recommendations to ensure users make the most of their contributions while minimizing taxes. Shoebox+ empowers users to implement the “shoebox strategy”, letting HSA funds grow tax-free and be reimbursed at any time. https://roxanneardary.com/shoebox/
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Local-first vector search for chronological documents. Structure-aware chunking, hybrid search, date pre-filtering. Rust rewrite of gapvec.
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Desktop kanban board for the markdown tickets your AI coding agents leave behind. Reads files directly — Claude, Codex, Gemini, Copilot, local models all push to the same folder.
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Local-first encrypted password vault for Android with Master Password access, Recovery Key support, Autofill integration, and portable encrypted ABLBX backups. Developed by Ebrahim Shafiei (EbraSha).
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ValidationOS is an open-source, local-first AI assurance platform that transforms AI performance into proven results. It provides tools for validating, optimizing, certifying, and monitoring AI models across edge hardware environments through automated testing, compatibility analysis, performance benchmarking, observability, and compliance workflows. https://roxanneardary.com/validationos/
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Local-first mediaplayer which runs entirely in the browser.
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ForgeAtlas is an open-source lifecycle-aware engineering intelligence platform that helps designers, builders, and manufacturers create longer-lasting physical products by combining durability analysis, material optimization, local-first sourcing, and real-time market intelligence. It transforms fragmented material and supply chain data into actionable engineering decisions that prioritize repairability, sustainability, and real-world buildability. https://roxanneardary.com/forgeatlas/
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Local-first, human-in-the-loop AI hiring assistant (v0.5, recruiting module only). 本地优先、人在环的 AI 招聘决策辅助。
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Heirloom Haven is an open-source seed exchange platform dedicated to preserving native, non-GMO, organic, and heirloom seed diversity. It connects growers and communities to share, trade, and document seeds while maintaining transparency, provenance tracking, and ecological integrity. Built under the AGPL-3.0+ license, it empowers local and global collaboration to protect biodiversity and sustain living agricultural heritage. https://roxanneardary.com/heirloom-haven/
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BeautifAI is an open-source AI-powered beauty platform that helps users discover their ideal makeup and hairstyle matches through intelligent skin tone analysis, virtual try-on tools, and personalized recommendations. It combines education, health-conscious product insights, and smart shopping features to help users learn techniques, explore new looks, and make informed cosmetic choices across both local and online markets.
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SYSTEMIC AI FABRIC is a modular AGPL-3.0+ specification framework for designing and compiling regional AI systems. It enables jurisdictions to build AI infrastructure that is shaped by local conditions such as industry strengths, geography, regulation, and resource constraints. Rather than relying on universal models, the framework treats intelligence as a system that is generated, governed, and evolved within regional “natural labs,” producing adaptable and transparent AI architectures tailored to real-world environments. https://roxanneardary.com/systemic-ai-fabric/
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