Alexandrie is a self-hosted, open-source knowledge base and wiki for teams and individuals, positioned as an alternative to Notion, Confluence, and Obsidian. It uses an extended CodeMirror 6 Markdown editor with support for LaTeX, custom containers, interactive checkboxes, snippets, speech-to-text, and embedded diagram creation. Notes are organized through multi-tenant teams, workspaces, categories, and nested documents, with full-text search, a command center, integrated Kanban boards, public links, and node- or workspace-level permissions ranging from no access to owner. It is distributed as an offline-first progressive web app with synchronization, OIDC/SSO support, Docker deployment, backup and restore pipelines, and S3-compatible media and backup storage.
Amicro (@subhanhq/amicro) is an open-source React library of micro-interactions, transition components, Motion-powered primitives, custom hooks, spring presets, and animated card layouts. Its components are copied as TSX source into a project rather than delivered as a runtime service, with support for React, Next.js, and Vite applications using Tailwind CSS and Motion or framer-motion. The library includes entrance transitions such as fade-in, fade-up, and zoom-in; interaction components such as tilt-card and magnetic-button; text-reveal effects; scroll-progress utilities; and card layouts including fanned arcs, corner fans, cascades, radial wheels, scatter spreads, interactive 3D carousels, CoverFlow, and a timeline-controlled perspective stack. The npm CLI initializes project configuration and adds individual components, hooks, or utilities. Components can also be installed through a shadcn/ui registry using direct raw URLs or the @amicro namespace. The project supports light and dark UI palettes, requires Node.js 18 or later, and is distributed under the MIT License. It was created by Syed Subhan, associated with Subhan-code.
Anthropic API is the cloud API provided by Anthropic, the AI research company, offering programmatic access to its Claude family of large language models for text generation, chat, and reasoning. The API is intended for developers to integrate Anthropic's models into applications and services.
A task and reminders app developed by Apple Inc., bundled with iOS, iPadOS, macOS, watchOS and available via iCloud.com. It stores and presents reminder items (titles, dates/times, location-based triggers, subtasks, notes, attachments and tags) as lists and issues local and push notifications; it normally syncs via iCloud but also supports CalDAV synchronization with third-party CalDAV servers (the videos cite compatibility with a service called Two Due Duty). The app is proprietary software distributed as part of Apple operating systems and tied to an Apple ID for iCloud sync.
Astro is an open-source web framework and website build tool for content-driven websites, developed by the Astro project. It supports static, server-rendered, and hybrid sites with component integrations for frameworks including React, Preact, Solid, Svelte, and Vue; the project also provides Node, Vercel, Cloudflare, Netlify, MDX, RSS, and related integrations. The video identifies Astro as providing a supported development-server integration for Frontman.
Axolotl is a free, open-source framework for post-training and fine-tuning large language models. It uses YAML configuration to define workflows for preprocessing, training, evaluation, quantization, inference, preference tuning, reinforcement learning, and reward modeling. The project is hosted by axolotl-ai-cloud and documents support for distributed training, mixture-of-experts models, multimodal models, and multiple fine-tuning methods.
Claude Code is Anthropic's agentic coding tool for the terminal, IDEs, and GitHub. It uses natural-language commands to understand a codebase, create and read files, execute commands, run tests, explain code, manage Git workflows, and handle routine development tasks. It can also load persistent project context, run custom slash commands, use plugins with custom commands and agents, and operate with configurable autonomy while leaving actions such as final pull-request merging to a human. The official repository documents installation for macOS, Linux, and Windows, and identifies npm installation as deprecated.
ComPDF Self-Hosted is an open-source PDF editing, conversion, and document-processing platform from the KDAN ecosystem. It is deployed privately with Docker Compose and provides a browser-accessible tool center for merging, splitting, rotating, watermarking, encrypting, decrypting, and otherwise editing PDFs, as well as converting between PDF, Office formats, HTML, TXT, CSV, RTF, JSON, Markdown, OFD, and image formats. Its image-conversion functions include image-to-document and image-to-PDF workflows, with OCR-related capabilities indicated by the repository topics. A management console handles API keys, API usage, license status, operation-log auditing, account management, and system configuration; commercial support and an enterprise upgrade are also offered.
Dashwise is an open-source, self-hosted homelab dashboard that combines links, search, RSS news, notifications, wallpapers, glanceables, widgets, and integrations with self-hosted services in configurable pages. It includes built-in authentication and SSO/OIDC support, a Spotlight-like search opened with Ctrl+K, and an HTTP endpoint for receiving push notifications by topic. Dashboards are configured through the user interface rather than configuration files; page configurations and user preferences are stored in PocketBase and read by the React frontend through its page-configuration API. Integrations are defined as YAML files that provide widgets, glanceables, and shortcuts. The application uses a React single-page frontend bundled with Bun, a Bun/Hono API layer, and a PocketBase backend, and can be deployed with Docker Compose. The repository warns that the project was partly rewritten after its last major release and recommends backing up the PocketBase directory before upgrading.
FFmpeg is a collection of libraries and command-line tools for processing multimedia content, including audio, video, subtitles, and related metadata. Its libraries provide codec implementations, streaming and container-format handling, filtering through directed graphs, device access, audio mixing and resampling, and image scaling and color conversion. The toolset includes ffmpeg for manipulating, converting, and streaming media, ffplay for playback, and ffprobe for inspecting media content. The codebase is mainly licensed under the LGPL, with optional components under the GPL. The repository is an official mirror of the FFmpeg project's Git repository; the project directs contributors to submit patches through its mailing list rather than GitHub pull requests.
Frontman is an open-source, browser-based AI coding agent for visual frontend editing. It lets users select an element in a running application, describe a change in plain language, and edit the underlying source files with hot reload. The agent uses the live DOM, component tree, computed CSS, routes, source maps, and server logs to identify the relevant code, then presents the resulting diff for review. It supports frontend projects using frameworks and tools including Next.js, Astro, Vite, React, Svelte, and Vue, and is distributed under Apache 2.0 / AGPL-3.0 as listed in its repository.
Gemini is Google's AI model and assistant accessible through gemini.google.com. It processes mixed media including video, audio, images, and text, and can convert recordings into SOPs, summarize meetings, extract decisions, and draft follow-up emails. In research and development contexts, it serves as an alternative LLM backend for tasks such as adversarial audits of requirements and resume evaluation.
Git is an open-source, fast, scalable, distributed revision control system. It stores project changes as versioned commits and provides repository history, diffs, branching, isolated work trees, and rollback capabilities for reviewing or reverting changes. The project provides both high-level version-control operations and access to its internal mechanisms. It is covered primarily by the GNU General Public License, with some components under compatible licenses, and was originally written by Linus Torvalds with contributions from a wider developer community.
Harper is an offline, privacy-first English grammar checker developed by Automattic and written in Rust. It analyzes drafts locally, with a low memory footprint, and can be loaded through WebAssembly. The project provides integrations for Visual Studio Code, Neovim, Helix, Emacs, Zed, Obsidian, Chrome, and other browsers, along with a language server and a JavaScript package. English is currently supported, while the core is designed to be extensible to other languages.
Hiring Agent is an open-source Python resume-to-score pipeline. It extracts structured data from resume PDFs, enriches candidate information with GitHub signals, and evaluates projects, work experience, and technical skills with supporting evidence to produce an explainable evaluation. The repository describes it as a ranking aid for prioritizing resume review, not an applicant-tracking system or a product for HackerRank customers. It includes local-model configuration, with Gemma 4 listed as the default demonstration model, and provides command-line setup and usage instructions.
Home Assistant is open-source home-automation software developed by a worldwide community of tinkerers and DIY enthusiasts. It provides local control and privacy-focused operation for connected devices and actions, with a modular integration system that allows support for additional devices and automations to be added. It can run on a Raspberry Pi or a local server and is available with installation instructions, tutorials, documentation, and a web demo.
Homelable is a self-hosted homelab infrastructure visualizer that builds interactive network diagrams and monitors device status. Its network scanner runs Nmap service scans against configured CIDR ranges, placing discovered devices in a queue for approval, hiding, or ignoring; it also imports infrastructure from Proxmox, Zigbee, and Z-Wave. Health checks can use ping or TCP probes and health APIs, while diagrams support floor plans, multiple canvases, customizable device styles, and rack layouts with mounted equipment and port-to-port patch cables. It can be installed from pre-built Docker images, as a Proxmox LXC, or from source, and includes an MCP server for AI assistants.
Hugging Face is an AI and machine-learning collaboration platform that hosts and distributes models, datasets, and applications. Its Hub supports public model, dataset, and application repositories across text, image, video, audio, and 3D workloads, while its open-source stack includes Transformers, Diffusers, Safetensors, Tokenizers, TRL, Transformers.js, smolagents, and PEFT. The platform provides a unified API for accessing models from AI providers, GPU-based compute and Inference Endpoints, and paid team and enterprise features such as private datasets, access controls, single sign-on, audit logs, and dedicated support.
Jellyfin is a free software media system for managing and streaming a user's own media from a dedicated, self-hosted server to end-user devices through multiple apps. It is an alternative to proprietary media servers such as Emby and Plex. This repository contains Jellyfin's backend server and API; the server hosts the web client, uses FFmpeg for media processing, and is built on the .NET platform for cross-platform support. Jellyfin is distributed without premium licenses or features.
Klaat Code is an open-source, terminal-native AI coding agent from KlaatAI. It reads and edits project files, runs shell commands, performs type checks after edits, and asks for permission before risky operations. It supports planning, sub-agents, MCP, hooks, and skills, and indexes projects into a code knowledge graph containing symbols, callers, callees, and semantic-search data for targeted exploration. Its hosted Klaatu-o1 router classifies each request and dispatches it across six model-cost tiers—nano, fast, code, reason, heavy, and titan—rather than using one model for every task. The CLI is a thin client to this service; the repository states that routing decisions, model health tracking, pricing, and the code-graph index run server-side. It supports providers and models including Claude, GPT, Gemini, and DeepSeek, and can be installed with npm.
KTransformers is an open-source research framework for efficient large-language-model inference and fine-tuning through heterogeneous CPU-GPU computing. Its user-facing capabilities are provided through the kt-kernel source tree: high-performance inference and supervised fine-tuning (SFT). For mixture-of-experts models, it uses heterogeneous expert scheduling, placing frequently used or “hot” experts on GPUs and other experts on CPUs with optimized AMX, AVX512, or AVX2 kernels and NUMA-aware memory management. It supports CPU-side INT4/INT8 quantized weights, GPU-side GPTQ, native BF16 and FP8 precision, and multiple CPU, GPU, and NPU backends. The SFT capability integrates with LlamaFactory for hybrid CPU-GPU fine-tuning of large MoE models, including LoRA and full-parameter training, with INT4/INT8 quantization options.
LingBot-Map is a feed-forward 3D foundation model from the Robbyant Team for streaming 3D reconstruction from image sequences and video. Its Geometric Context Transformer unifies coordinate grounding, dense geometric cues, and long-range drift correction through anchor context, a pose-reference window, and trajectory memory. The system uses paged KV-cache attention for streaming inference and supports interactive browser-based reconstruction with point-cloud visualization, keyframe intervals, windowed processing for long sequences, and sky masking. It also provides an offline rendering pipeline for image folders or video, along with evaluation pipelines for datasets including KITTI and Oxford Spires. The repository reports approximately 20 FPS inference at 518×378 resolution on sequences exceeding 10,000 frames, and documents PyTorch installation with FlashInfer as the recommended attention backend and native SDPA as a fallback.
Lucide is an open-source icon library maintained by the community and forked from Feather Icons. It provides more than 1,600 vector SVG icons for digital and physical projects, with official packages for React, Vue, Svelte, Solid, Preact, React Native, Angular, Astro, and static use, plus a Figma plugin. The library is free for commercial and personal use under the ISC License and does not accept brand logos.
An open-source animation library for JavaScript, React, and Vue. It combines JavaScript with native browser APIs for GPU-accelerated animations and provides APIs for gestures, springs, layout transitions, scroll-linked effects, and timelines. The React package is imported from `motion/react`, the JavaScript package from `motion`, and the Vue package from `motion-v`; Motion is MIT licensed. The video identifies it as the animation foundation for Amicro.
Nextcloud is an open-source content collaboration platform used by organizations to manage and share content. In the stated context, it acts as a supported CalDAV synchronization client for Two Due Duty.
Next.js is an open-source React framework developed by Vercel for building full-stack web applications. It extends React with server rendering, static-site generation, hybrid rendering, components, and routing, and integrates Rust-based JavaScript tooling for builds. The project provides documentation, a learning course, a showcase, community discussions, and contribution guidelines.
Nmap, the Network Mapper, is a network-discovery and port-scanning tool for identifying devices, open ports, operating systems, and services. It can scan targets such as a home-lab network and includes Zenmap as a graphical front end. The project provides source code and binary installers for Windows, macOS, and Linux, and is released under a custom license based on but incompatible with GPLv2; commercial redistribution licensing is also available.
oh-my-pi is an open-source terminal coding agent and fork of Pi by Mario Zechner, with an IDE-oriented interface wired into the agent. It supports context-aware code edits, code search, language-server operations such as renames, debugging through debugger operations, persistent Python and Bun code-execution workers, web browsing, sub-agents, and MCP; the project describes support for dozens of model providers and includes built-in tools. It runs on macOS, Linux, and Windows, with installation options including a shell installer, Homebrew, Bun, Nix, and PowerShell.
Ollama is a software platform for running and serving open models, including as a local model runtime for tasks such as resume evaluation, tagging, and summarization. Its website describes integrations with coding agents and other workflows, allowing users to launch tools such as Claude Code, Codex, OpenCode, and VS Code while switching models without changing the workflow. Local runs remain on the user's machine, while Ollama also offers hosted cloud models. The service states that prompts are not tracked or used for training by providers, and that its open-source software and open model support are intended to keep data private while automating work.
OpenAI API is a cloud service that provides access to OpenAI's AI models, enabling developers to integrate language processing capabilities into applications. It is used for tasks such as generating text, building chatbots, and orchestrating context and model selection. The API is commonly employed as a backend for various AI-powered tools and services.
OpenAI Codex is an AI coding agent from OpenAI available as a command-line tool (Codex CLI) that helps developers produce software. It can be used alongside Gemini for adversarial audits of software requirements and implementation plans, listed as a supported coding-agent or model option in several projects, and its logs can be joined with task and test evidence. The Codex CLI can also receive and answer requests from the Penako canvas.
Open Code Review is an open-source, AI-powered command-line code-review tool developed from Alibaba Group’s internal review assistant. It reads Git diffs and sends changed files to a configurable LLM through an agent with tool-use capabilities; the agent can read complete files, search the repository, and inspect other changed files for context before producing structured comments tied to source lines. Its hybrid architecture combines deterministic engineering with dynamic agent decisions: deterministic stages select and bundle files, match rules to file characteristics, and apply independent comment-positioning and reflection modules, while scenario-specific prompts and tools guide context retrieval and review. The `ocr scan` command audits complete files or directories without requiring a meaningful diff, and the project provides multilingual rules for issues including null-pointer exceptions, thread safety, cross-site scripting, and SQL injection. It supports configurable model endpoints, including OpenAI- and Anthropic-compatible endpoints, and requires Git 2.41 or newer.
OpenCut is a free, open-source video editor for the web, desktop, and mobile, positioned as a local alternative to CapCut. It provides basic video-editing capabilities while keeping users' video files on their devices. The project is being rewritten around a Rust core intended to support browser, desktop, and mobile clients from one codebase. The planned architecture includes an Editor API, third-party plugins, an MCP server for AI agents, headless batch rendering, and an in-editor scripting tab. The existing classic version remains available through opencut.app while the rewrite is developed at new.opencut.app. OpenCut is licensed under the MIT License.
PenEcho is an open-source shared canvas for handwriting, equations, diagrams, and spatial context. It reads marks and their spatial relationships on a 20,000 × 20,000 canvas, then places hints, explanations, formulas, plots, diagrams, and other AI-generated drafts beside the original content. Drafts can be moved, resized, copied, accepted, or discarded before becoming part of the canvas ink; users can draw with a stylus or mouse, lasso confirmed ink to move, resize, recolor, or delete it, and send selected content to Typeset without triggering an AI request when editing ordinary ink. The application supports editable sandboxed HTML widgets, professional diagrams, animations, and live-data plugins, which can be refined in place through incremental unified-diff edits rather than full regeneration. It supports up to ten API or CLI connections, including Kimi, MiniMax, Codex, and Claude Code configurations, with a selectable active connection per client. Canvases can be organized into projects, shared across authorized devices, and exported as cropped PNG files. PenEcho provides a desktop app and an npm installation requiring Node.js 20.3 or newer. It can run offline with a user's own API or authenticated CLI setup; API credentials remain on the host device and are not sent to browser code. PenEcho Cloud is an optional companion service for private versioned projects, synchronized favorites, linked-device remote access through a relay, and public sharing of Canvases and Widgets as Echoes or Crafts. The project is supported through Moonshot AI's Kimi Open Source Friends program.
Prometheus is a Cloud Native Computing Foundation monitoring system and time-series database. It collects metrics from configured targets at intervals, evaluates rule expressions, displays results, and can trigger alerts when specified conditions occur. Its architecture uses a multi-dimensional time-series data model, the PromQL query language, an HTTP pull model, service discovery or static target configuration, and autonomous single-server nodes without a dependency on distributed storage. It is distributed as precompiled binaries, Docker images, and source code, with graphing, dashboarding, federation, and an intermediary gateway for batch-job metric pushes.
React is a JavaScript library for building web and native user interfaces. It uses declarative views that update the appropriate components when application data changes, and lets developers compose encapsulated, state-managing components into larger interfaces. React code can use JSX, an HTML-like syntax for defining interface elements, although JSX is optional. The library is designed for gradual adoption, can render on the server with Node, and supports mobile applications through React Native. Its core repository is developed openly on GitHub under the MIT license.
RuView is an open-source Wi-Fi sensing platform from ruvnet that uses Channel State Information (CSI) captured by low-cost ESP32 sensors to turn disturbances in radio waves into spatial data. It detects presence and occupancy through walls, estimates breathing and heart rate without contact, recognizes activities such as walking, sitting, gestures, and falls, and uses RF fingerprinting to identify rooms and environmental changes. The platform also supports camera-free pose estimation, CSI recording and model training, and loading RVF and LoRA profiles. RuView can publish sensing data to Home Assistant through MQTT and integrate with Apple Home, Google Home, Amazon Alexa, and SmartThings through supported bridges and Matter. Its repository also documents local automation, room-level semantic states, and the RuView MetaHarness, an AI-assisted workflow for onboarding, calibration, training, verification, and checking sensing claims.
Tailwind CSS is an open-source, utility-first CSS framework developed by Tailwind Labs for rapidly building custom user interfaces. Developers compose designs directly in markup using utility classes for layout, spacing, color, typography, responsive behavior, and other styling rules. It supports responsive styling, integrates with PostCSS, and provides documentation at tailwindcss.com along with community discussion through GitHub.
Telegram is a cloud-based instant messaging service developed by Telegram Messenger LLP and founded by Pavel and Nikolai Durov. It offers text, voice and video messaging, group chats, channels and a bot API, with optional end-to-end encryption available in "secret chats."
tududi is an open-source task and project organizer for life and work, available as a self-hosted application or hosted subscription. It organizes tasks, subtasks, projects, areas, notes, and tags in a hierarchy, with filtering by status and due-date categories, project sharing, responsive access, and an installable progressive web app with offline caching and queued synchronization. Its recurring-task system supports daily, weekly, monthly, weekday-specific, and last-day-of-month patterns, custom intervals, completion-based recurrence, linked parent and generated tasks, and optional end dates. The project also provides Telegram capture, CalDAV synchronization, OIDC, and a REST API.
Usertour is an open-source user onboarding platform for creating in-app product tours, checklists, launchers, surveys, and related onboarding experiences. It supports user targeting, custom styling, multiple environments, version tracking, analytics, and self-hosting. The platform includes a built-in MCP server that lets AI assistants such as Claude Code, Cursor, or Codex create onboarding flows and surveys from natural-language instructions. The documented self-hosting path uses Docker Compose, and the project provides a web application, documentation, and an SDK for integrating onboarding experiences into products.
Vite is frontend tooling for modern web projects, developed in the vitejs organization. It combines a development server that extends native ES modules with fast Hot Module Replacement and a build command that bundles code with Rolldown into optimized static assets for production. It provides a JavaScript and plugin API with full typing support, and is distributed under the MIT license.
Zigbee2MQTT is an open-source Zigbee-to-MQTT bridge developed in the Koenkk project, allowing Zigbee devices to operate without their vendor-specific bridge or gateway. It uses zigbee-herdsman to communicate with a hardware adapter, zigbee-herdsman-converters to map device models to supported Zigbee clusters, and the Zigbee2MQTT module to translate Zigbee messages into MQTT messages while tracking device state in a JSON database. It provides web interfaces for monitoring and configuration and can integrate with home-automation systems such as Home Assistant, Homey, Domoticz, Gladys Assistant, and ioBroker.
A local platform that uses radio disturbances from low-cost ESP32 nodes to detect presence, estimate breathing and heart rate, recognize activity, and fingerprint rooms.
An open-source terminal coding agent focused on a model harness that supports safe edits, language-server operations, debugging, code execution, web browsing, and sub-agents.
An infrastructure visualizer that scans a home network, turns discovered devices into an interactive diagram, imports Zigbee topology, and displays live health status.
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Every week, developers release new open-source projects on GitHub, and this is our weekly GitHub project update video covering the best of them. Top trending open-source GitHub projects this week, you'll discover useful and trending developer tools from self-hosted apps to AI coding agents. Without wasting time, let's get started. >> Before we jump into today's project updates, here's a quick announcement for everyone.
We've launched a brand new YouTube channel called AI Agent Studio, dedicated entirely to AI agent projects, tutorials, and tools. So, if you're interested in staying up-to-date with the latest AI agent open-source projects, learning how to build your own agents, or exploring cutting-edge agent frameworks, make sure to check it out. Subscribe now to get weekly videos, in-depth guides, and real-time project breakdowns.
The link is right there in the description. Don't miss it. All right, let's get into today's video. >> Project number one, Open Code Review, open-source AI code review agent for Git diffs. Open Code Review is an open-source command-line code review agent from Alibaba. It reads your Git diff and sends changed files to a configurable LLM through an agent with tools, producing structured comments pinned to exact lines.
Rather than scanning a diff in isolation, the agent reads full files, searches the codebase, and inspects other changed files for context, with each file reviewed in its own parallel worker. Built-in rules per file type cover null risks, thread safety, SQL injection, and XSS, and you can override them per project. It works with OpenAI and Anthropic APIs.
Install it and review your next change. Project number two, Ru View, Wi-Fi sensing platform turning radio signals into spatial intelligence. Ru View is an open-source Wi-Fi sensing platform that turns ordinary radio signals into spatial intelligence with no cameras or wearables. Every router already floods a room with radio waves, and people disturb those waves as they move or breathe.
So, Ruuvi captures channel state information from low-cost ESP32 nodes and reads those disturbances. From that, it detects presence through walls and in darkness, estimates breathing and heart rate, recognizes activity and fingerprints rooms. It runs entirely on edge hardware with no cloud, ships pre-trained models, and connects to Home Assistant, Apple Home, Google Home, and Alexa.
Flash a node and start sensing. Project number three, Harper, offline privacy-first English grammar checker in Rust. Harper is an open-source English grammar checker written in Rust that runs entirely on your machine. Cloud checkers send everything you write to their servers and add network latency to every revision, while heavier local tools need gigabytes of memory and large data sets.
Harper lints a document in milliseconds with a small fraction of that footprint, and nothing leaves your computer. It plugs into editors through a language server for VS Code, Neovim, Helix, Emacs, and Zed, ships an Obsidian plugin and a Chrome extension, and compiles to WebAssembly for the browser through Harper.js. Install it and write with privacy.
Project number four, Jellyfin, free software media system you host yourself. Jellyfin is a free software media system that puts you in control of managing and streaming your own media. It's an alternative to proprietary services like Emby and Plex, serving your library from a dedicated server to end user devices through many apps. This repository holds the back-end server and API, written in C# on .NET for full cross-platform support with FFmpeg handling transcoding and a separate web client for the interface.
There are no premium licenses, paywalled features, or hidden agendas, and the community translates it into many languages. Set up a server and stream your own library. Project number five, Lingbot Map, feedforward 3D model for streaming scene reconstruction. Lingbot Map is an open-source 3D foundation model that reconstructs scenes from streaming video.
It's geometric context transformer combines coordinate grounding, dense geometric cues, and long-range drift correction in one streaming framework using anchor context, a pose reference window, and trajectory memory. Because it's feedforward with page KV cache attention, it stays stable across sequences beyond 10,000 frames instead of re-optimizing the whole scene.
You point it at an image folder or a video and get a point cloud in a browser viewer or render a long flight through offline. Weights and demo data ship on Hugging Face. Feed it a walk-through and watch the scene build. Project number six, paper transformers, CPU-GPU hybrid inference and fine-tuning for MoE models. K Transformers is an open-source framework for running and fine-tuning very large language models through CPU-GPU heterogeneous computing.
Huge mixture of experts models don't fit in consumer GPU memory, so it splits the work hot experts stay on the GPU while the rest run on CPU kernels tuned for Intel AMX and AVX with INT4 and INT8 quantization and NUMA aware memory. It exposes two capabilities, a KT kernel inference path with a Python API that plugs into SG Lang and fine-tuning through Llama Factory.
It supports Nvidia, AMD, Intel Arc, and Ascend hardware. Install KT kernel and run a bigger model. Project number seven, OpenCut, free open-source video editor for web and desktop. OpenCut is a free open-source video editor for web, desktop, and mobile. Built as an alternative to CapCut, it exists for three reasons. Your videos stay on your device. Basic editing features stay free rather than sitting behind a paywall.
And the editor stays simple to use. The web app is built with Next JS, a native desktop app uses GPUI, and a platform agnostic Rust core holds the GPU compositor, effects, masks, and WASM bindings shared across both. You run it locally with Bun and Docker or self-host the whole stack. Clone it and start cutting. Project number eight, hiring agent resume to score pipeline with GitHub signal enrichment.
Hiring agent is an open-source Python pipeline that turns a resume PDF into an explainable evaluation. It converts the PDF to markdown, then uses ginger templates to ask an LLM for each section separately, assembling basics, work, education, skills, projects, and awards into a structured JSON resume. If the resume lists a GitHub profile, it fetches repositories, classifies projects, and picks the strongest contributions.
An evaluator then scores open-source personal projects, production work, and technical skills with bonuses, deductions, and written evidence. It runs locally with Ollama or through Gemini. Point it at a resume and read the score. Project number nine, O my Pi, terminal coding agent with the IDE wired in. O my Pi run as OMP is an open-source AI coding agent for the terminal built as a fork of Pi.
It's focus is the harness around the model. Edits anchor to content hashes, so patches land on the first try or get rejected when the file is stale. Reads return summarized snippets, and search runs in process. Beyond editing, it drives a language server for real renames, attaches a debugger, runs persistent Python and JavaScript cells, browses the web, and fans work out to sub agents.
It connects to over 40 model providers and installs with one command. Install it and code from your terminal. Project number 10, Axolotl, free and open-source framework for fine-tuning LLMs. Axolotl is a free open-source framework that streamlines post-training and fine-tuning of large language models. It replaces scattered scripts with a single YAML file that carries you through dataset preprocessing, training, evaluation, quantization, and inference.
It handles full fine-tuning, LoRA, QLoRA, quantization-aware training, preference tuning like DPO and KTO, reinforcement learning, and reward modeling across text and multimodal models from the Hugging Face Hub. Data sets load from local disk, Hugging Face, or cloud storage, and training scales from one GPU to multiple nodes through FSDP, DeepSpeed, and Ray.
Fetch an example and start training. Project number 11, Penako, shared AI canvas for handwriting and diagrams. Penako is an open-source canvas that lets you think with AI outside a chat box. You write a question, equation, or sketch anywhere on a huge canvas and pause, and it reads your marks along with their spatial relationships, then answers beside them.
Replies arrive as movable drafts you resize, copy, accept, or discard, so they stay separate from your confirmed ink. The browser sends only the relevant crop and geometry to a local node server, which routes the request to an API, the Codex CLI, or the Claude Code CLI. Install it and draw your next problem. Project number 12, Clay Code terminal coding agent with per request model routing.
Clay Code is an open-source AI coding agent for the terminal that routes each request to the model tier it actually needs. Its hosted router classifies every message across five tiers, escalating when a task turns out harder than it looked, and tool calls, retries, and failovers don't count against your quota. It indexes your project into a code graph, so the agent queries symbols, callers, and blast radius instead of reading whole files.
After each edit, it runs your type checker and feeds errors back in the same turn. It supports plan mode, sub-agents, MCP, hooks, and skills. Install it and route your next task. Project number 13, User Tour, open-source platform for in-app user onboarding. User Tour is an open-source user onboarding platform for building in-app product tours, checklists, launchers, and surveys.
It works with any app that runs in a browser across single-page and multi-page setups, so you don't rebuild flows per framework. You target users with custom attributes and tracked events. Then style each flow with your own text, colors, fonts, and themes. Separate environments like production and staging live in one account. Version tracking shows who changed what and analytics report views, completion rates, and drop-off points.
Self-host it with Docker, deploy it, and guide your new users. Project number 14, Alexandrie, self-hosted knowledge base with extended markdown editing. Alexandrie is a self-hosted open-source knowledge base built around an extended markdown editor. Note apps tend to be too bare or too heavy, so this one sits in between. One Docker Compose command brings up the full stack and you organize notes into workspaces, categories, and nested documents with tags, bookmarks, and Kanban boards.
The editor adds colored containers, academic blocks, KaTeX math, footnotes, and live preview while full-text search returns ranked snippets. Per-document permissions run five levels. Sign-in works through OIDC and a PWA keeps notes available offline. Run one command and start writing. Project number 15, Homelab, self-hosted visualizer for your home lab network.
Homelab is a self-hosted infrastructure visualizer that turns your home lab into an interactive network diagram with live status. Instead of drawing every box by hand, it scans your network with Nmap and fills up pending devices queue you approve onto the canvas. And it can import a Zigbee topology straight from Zigbee to MQTT over MQTT. Each node gets its own health check from ping and TCP to HTTP, Prometheus, or a health endpoint, so online and offline services show at a glance.
A read-only live view shares the canvas and an optional MCP server lets an AI client read and edit it. Deploy it and map your lab. Project number 16, Frontman, AI coding agent that edits from your browser. Frontman is an open-source AI coding agent that lives in your browser instead of your editor. It hooks into your dev server as middleware, so it sees the live DOM, component tree, computed CSS, routes, and server logs rather than just source files.
You click an element in your running app, describe the change in plain English, and it edits the real source file with instant hot reload. It integrates with Next.js, Astro, and Vite for React, Vue, and Svelte, and runs only in development, so production builds are unchanged. You bring your own model key, install it, and edit what you see. Project number 17, ComPDF self-hosted private document editing and conversion platform.
ComPDF self-hosted is an open-source document platform you deploy inside your own infrastructure. Rather than integrating an SDK, you run the whole stack with Docker Compose and get a browser tool center that merges, splits, rotates, watermarks, encrypts, and decrypts PDFs. It converts between PDFs, Word, Excel, Slides, HTML, TXT, CSV, RTF, JSON, and many image formats, including searchable PDF and markdown output.
A dashboard console covers API keys, usage, license status, operation logs, accounts, and branding with a REST API behind it. Files never leave your servers. Clone it and build your document center. Project number 18, Two Due Duty, self-hosted system for organizing tasks and projects. Two Due Duty is an open-source self-hosted app for organizing life and work through a clear hierarchy.
Tasks belong to projects. Projects group into areas, and notes and tags attach across both, so everything stays connected instead of scattered. It handles subtasks, due dates, and recurring tasks with flexible patterns, custom intervals, and completion-based repeats. Telegram integration captures tasks on the go and sends daily digests. CalDAV syncs with clients like Apple Reminders and Nextcloud, and OIDC brings single sign-on.
A REST API with personal keys supports automation. Run one Docker command and get organized. Project number 19, Dash-wise, all-in-one self-hosted dashboard for your home lab. Dash-wise is an open-source self-hosted home lab dashboard that gathers your services into one page. Most dashboards expect you to hand-edit config files, so this one puts links, search engines, and wallpapers in a GUI you configure in settings.
Links group into folders and can be monitored for downtime. Glanceable sit beside the clock and movable widgets show key info. It also pulls RSS news, receives push notifications by URL, and offers a control plus K spotlight search across links and integrations. Built-in auth supports OIDC, and it connects to Jellyfin, Carrel Keep, dash. and bezel. Deploy it and open your home lab.
Project number 20, a micro-curated library of React micro interactions and transitions. Amicro is an open-source library of React micro interactions and transition components built on motion. Rather than handwriting animation code for every button and control, you browse a live sandbox of smooth hardware-accelerated transitions and copy the generated React, Tailwind, and motion source straight into your project.
Previews render in grid, list, or matrix layouts with instant scaling, and a dynamic scene system switches between dark and light so the copied code matches. Adding your own transition takes three files. It's built with TypeScript, Tailwind, Lucide icons, and Vite. Clone it and animate your interface. Thanks for watching. See you in the next update.