2,453 tools and products — trending open source, and what gets used in AI and other work.
Vistep is an interactive educational visualization site for explaining mechanisms in science, computation, and everyday systems through bilingual English-and-Chinese visual stories. Its chaptered films synchronize animation with recorded narration, captions, and transcripts; browser-based experiments connect independent calculations to geometry, motion, and readouts so changing inputs updates the visualization. Topics include JPEG compression, bicycle gearing, refrigeration, pendulums, laser printing, web loading, and elevator scheduling. The open-source collection is built with Astro, React, TypeScript, SVG, Canvas, and Three.js, and can be run locally with Node.js and pnpm. The source code and documentation are MIT licensed.
System Data Unpacked is a macOS menu bar and windowed app that inventories the contents of macOS System Data and lets users review or delete items individually. It uses category-specific storage probes to measure simulator runtimes and devices, Xcode data, package-manager stores, developer tools, logs, virtual machines, Docker data, snapshots, application data, project build folders, and other large folders; a final catch-all probe reports large paths not claimed by another category. Each result includes its measured size, category, safety level, and available reclaim action. Safe items can be deleted, review items are moved to the Trash first, and manual items show the relevant command or settings path. Before deletion, the app displays the exact operations and can batch compatible root actions through macOS authorization prompts. It records scan and deletion history locally, provides filtering, age and growth information, optional low-space and growth notifications, a JSON command-line inventory, and an opt-in weekly automatic cleanup for Safe items. The app makes no network requests except an optional daily GitHub update check, requires macOS 14 or later, and is distributed as a signed and notarized macOS app or through Homebrew. Current versions are proprietary; versions through 0.3.7 remain MIT-licensed.
tmax is a tmux extension that presents local and remote tmux sessions from configured SSH hosts through one deduplicated session switcher. Its fzf-based popup groups sessions by computer, supports filtering, previews, favorites, host locking, session creation and confirmed deletion, and can create a local session when no match is found. Remote sessions are represented as local proxy sessions and attached through tmux control mode over SSH. Recognized operations such as new windows, splits, layouts, zoom, renaming, and pane or window deletion are routed to the remote machine; the tool reconnects after dropped links and periodically reconciles opened sessions. Remote terminal scrollback is not imported, custom tmux commands are not translated, and disconnected hosts retain cached entries. An optional Python collector and agent integrations report activity from Claude Code, Codex, and Pi using lifecycle hooks, showing working or waiting indicators for windows and sessions. tmax is installed as a tmux plugin or run-shell entry, requires tmux, Python, and fzf, and uses a JSON configuration for remote hosts. Remote setup requires SSH key-plus-account-password authentication; passwords are not saved, and authenticated hosts use a local 24-hour lease and watchdog.
Rolling Number is a TypeScript library for interruptible, locale-aware rolling numbers on the web, with a framework-independent DOM API and optional React and Solid adapters. It formats values with native Intl.NumberFormat, animates bounded digit reels using native browser animation playback and sampled critically damped spring easing, and samples the current position and velocity when an update interrupts an animation rather than restarting from the old target. It also provides RollingText for direct glyph transitions, alphabet-wheel animation, and split-flap displays. React and Solid adapters keep readable formatted text separate from decorative animated glyphs, while reduced-motion, unsupported formats, and offscreen states retain static text for accessibility; decorative glyphs are hidden from assistive technology. The DOM core has no runtime dependencies and the project is MIT licen
Mador.js is a small reactive DOM runtime for adding state-driven behavior to existing HTML without a framework. It exposes reactive state and DOM bindings through a native ES module: bindings select elements, read selected state, and run update callbacks with the resulting values. Mador tracks the properties read by each binding and reruns only affected bindings; writes are batched so multiple state changes are processed together. Bindings are associated with the DOM elements they update, allowing their reactive runners to be removed when those elements disappear. It has no components, templates, virtual DOM, global runtime, or required build step, and is distributed through npm or a CDN under the MIT license.
Tailtab is a browser extension and native host that gives each browser profile its own Tailscale node, allowing profiles to use different tailnets and exit nodes simultaneously. The extension communicates with a Go host through native messaging; the host embeds Tailscale's tsnet, becomes a tailnet node, and exposes an authenticated HTTP/SOCKS5 loopback proxy. Chromium uses a PAC script and Firefox applies equivalent per-request proxy rules, so tailnet traffic—including MagicDNS, tailnet domains, and routed private ranges—uses Tailtab while ordinary browsing bypasses it. Each profile has separate node keys and state, and the proxy uses a per-process credential to prevent other programs from borrowing the profile's identity. Tailtab also supports multiple Tailscale accounts, custom Headscale-compatible coordination servers, per-profile exit nodes, and tailnet machine search. It is distributed from the GitHub repository with release binaries and browser extension packages for Chromium-based browsers and Firefox/Zen; installation is currently manual, and the project describes itself as experimental. It is licensed under BSD-3-Clause.
NavierStokesAndEuler is an open-source Lean 4 formalization of results concerning finite-time breakdown in the Navier–Stokes and incompressible Euler equations, developed by OpenAI. For Navier–Stokes with positive viscosity, it formalizes constructions on both three-dimensional Euclidean space and the periodic torus using smooth initial data and external forcing; the results rule out global smooth solutions under the stated kinetic-energy or existence conditions. For the unforced Euler equations, it formalizes a smooth, compactly supported, divergence-free initial velocity whose solution develops a finite-time singularity, with the velocity’s C1 norm becoming unbounded and the time integral of the vorticity’s L-infinity norm diverging. The repository uses Lean 4, Mathlib, and Lake. Its formalizations can be built after fetching the Mathlib cache, and the repository provides separate instructions for independently checking them with Comparator.
Gridline is an independent, Excel-inspired browser spreadsheet application built with plain HTML, CSS, and JavaScript. It uses a WebGPU worksheet renderer with a Canvas2D fallback, a formula interpreter with dependency tracking and cached results, transactional editing, and local workbook storage without a framework, CDN, account, application server, or runtime package dependencies. The application supports worksheets, formatting, charts, sorting, filtering, notes, conditional rules, undo/redo, cross-sheet and relative or absolute A1 references, CSV/TSV import and export, native .gridline JSON files, and a documented subset of XLSX. Its engine can also be used directly as an ES module. Local autosaves remain in the current browser profile and origin rather than cloud storage; WebGPU requires a compatible browser and suitable origin, while calculation and serialization run synchronously on the main thread. Gridline is an engineering preview released under the MIT license. XLSX support is not a lossless Excel round trip: pivots, VBA, Power Query, external links, dynamic arrays, advanced formatting, rich text, charts, notes, and conditional rules are not fully supported or exported. The repository reports passing Node and browser test suites, but its release tests did not verify WebGPU pipeline execution or hardware performance.
Agent Skills is Google's repository of installable skills for Google products and technologies, including Google Cloud. The skills provide Markdown-based procedures for tasks such as onboarding and authenticating to Google Cloud, deploying and managing AI agents, working with GKE, databases, networking, security, monitoring, analytics, advertising APIs, Firebase, Android, Dart, Flutter, and Google Maps Platform. Skills can be selected and installed with `npx skills add google/skills`; the repository also bundles plugins and MCP servers for agent harnesses including Claude Code, Codex, and Antigravity CLI. The repository accepts bug reports and contributions, and its skills are distributed under the Apache 2.0 license.
WebLLM is an in-browser large language model inference engine developed by the MLC community. It runs model inference directly in web browsers using WebGPU hardware acceleration, without server-side processing, and can be used as an npm, Yarn, or CDN package for building web applications. Its MLCEngine exposes an OpenAI-compatible chat-completions interface with streaming, JSON-mode structured generation, seeding, and preliminary function-calling support. It supports model families including Llama, Phi, Gemma, Mistral, and Qwen, and can load custom MLC-format models consisting of model artifacts and WebAssembly model libraries. WebLLM provides Web Worker and Service Worker integrations, Chrome-extension examples, browser caching through Cache API, IndexedDB, or OPFS, and optional Subresource Integrity verification for downloaded model artifacts.
Distilly is an AI agent skill-generation tool by titanwings that turns messages, documents, interviews, and other supplied sources into source-grounded Person Profiles. It models observable experience, decision patterns, expression, and ways of working, rather than claiming to clone a person, and supports colleague, relationship, and celebrity profile families. Each generated profile is packaged as an installable Agent Skill for supported hosts. Its workflow includes family-specific source collection and analysis, a six-dimension research pipeline for celebrity profiles, incremental file analysis and merging, conversational corrections written to a correction layer, and automatic version archiving with rollback to earlier versions. Supported source types include Lark, DingTalk, Slack, public X posts, WeChat exports, PDFs, images, email, Markdown, and pasted text, with source-specific setup requirements. The project documents native local Skill discovery for Claude Code, Hermes, OpenClaw, Codex, DeepSeek Harness, Pi, Grok Build, and OpenCode. It is distributed from its GitHub repository under the MIT License and is described as a demo version.
Aspire is Microsoft's multi-language, code-first toolchain for building, running, and deploying distributed applications. It defines services, frontends, containers, databases, caches, and their connections in code, then uses the Aspire CLI to run the application locally and carry the same definition into deployment. Aspire provides OpenTelemetry-based observability, service discovery infrastructure, project templates, integrations, an AppHost SDK, a dashboard, and a Visual Studio Code extension. Its repository includes the Aspire CLI and supports application definitions in languages including C#, TypeScript, JavaScript, Python, Java, Go, and Rust. The repository code is licensed under the MIT license.
Sugar High is a lightweight, zero-dependency JavaScript syntax-highlighting library that runs in browsers and JavaScript runtimes and converts source code to HTML without requiring a DOM. It supports JavaScript, TypeScript, CSS, Python, C, Go, Java, Rust, JSON, Markdown, SQL, HTML, YAML, and other built-in languages and formats, with alias normalization for inputs such as filename extensions and Markdown fences. The library exposes a one-step highlight function and a composable core that separates syntax parsing from HTML rendering. Token classes can be customized with class maps or token hooks, while line-level hooks support highlighting or modifying generated lines; CSS custom properties provide theming. Its React package supplies Code and textarea-overlay Editor components, and its Remark plugin highlights fenced code blocks during Markdown processing. Sugar High also provides an opt-in experimental WebGPU entry for asynchronous, language-agnostic highlighting through gpu-lexer. It is distributed as npm packages under the MIT license, with a separate core entry for selective language configurations.
ZaneOps is a self-hosted, open-source platform-as-a-service for deploying and managing static sites, web applications, databases, services, workers, and other workloads on personal servers. It uses Docker Swarm for scalability and Caddy for traffic handling, and provides a dashboard for project management, HTTP logs, and runtime logs. ZaneOps is positioned as a free alternative to Heroku, Railway, and Render, and can be installed with a shell script.
A software engine that powers ArmorPaint, a 3D texture-painting application.
SABnzbd is a Usenet download tool that provides an integrated download workflow for Sonarr.
NZBGet is a software tool that provides an integrated Usenet download workflow for Sonarr.
Kodi is a media-library application used to access a TV library organized by Sonarr.
Feishu is a document-synchronization source for WeKnora.
OpenAI GPT Image 2 is identified in the video as an AI image-generation offering that creates images from prompt templates in a GPT Image 2 library.
Enable Banking is an open-banking infrastructure platform that provides a single PSD2-compliant API for connecting products to more than 2,700 banks across 30 European countries. It supports real-time account information and payment initiation for business and personal accounts, while handling bank-specific APIs, authentication methods, API updates, and regulatory changes. The platform provides documentation, sandbox environments, and engineering support.
retrobios is an open-source tool for building and installing source-verified BIOS and firmware packs for emulation platforms including RetroArch, Batocera, Recalbox, Lakka, RetroPie, EmuDeck, RetroBat, RetroDECK, RomM, BizHawk, ROCKNIX, and MiSTer FPGA. It reads emulator source code to identify files loaded by each emulator, cross-references those requirements with platform BIOS lists, records file hashes and expected sizes where available, identifies gaps, and generates platform-, emulator-, system-, or region-specific packs. Its installer detects the target platform, downloads missing files, places them in the platform's expected directory, and verifies checksums; Python scripts can also generate packs and validate existing collections. The repository includes a documentation site and JSON, CSV, and SQLite metadata exports. The scripts and tooling are MIT-licensed, while the BIOS and firmware files are third-party system software distributed for personal backup, archival, and emulation interoperability.
Switchyard is an NVIDIA Rust library and proxy for routing LLM requests among models and providers while preserving native OpenAI and Anthropic API compatibility. Its routing algorithms choose among efficient and capable models using mechanisms such as LLM judging, stage-based response evaluation, escalation, advisor approval, random selection, and custom target-selection policies. It can run as a standalone proxy, integrate with NeMo Relay or LiteLLM, or be embedded in a custom gateway or harness; the proxy exposes OpenAI Chat Completions, Anthropic Messages, and OpenAI Responses endpoints, along with statistics and Prometheus metrics for requests, errors, latency, tokens, and routing overhead. The repository provides Rust components for routing, provider-neutral protocols, HTTP model calls, and request, response, and stream translation. It is pre-1.0 software under the Apache 2.0 license, with the standalone server documented as suitable for demonstrations and evaluation rather than production.
WAHA is a tool identified in the video as connecting WhatsApp conversations to Deskcomm CRM.
happy-dom is a JavaScript implementation of a web browser without a graphical user interface. It recreates DOM and browser APIs for running and testing browser-dependent code in Node.js and other lightweight environments. Its supported features include custom elements and declarative shadow DOM, mutation observers, tree walkers, and the Fetch API. It works with testing and frontend ecosystems including Vitest, Bun, Jest, Testing Library, LitElement, Vue, React, Svelte, Angular, and web components. happy-dom is distributed under the MIT License. The project is maintained by David Ortner and hosted on GitHub.
Helium is a privacy-focused, Chromium-based web browser developed as a heavily modified version of ungoogled-chromium. It provides unbiased ad blocking, removes tracking components, and is designed without added bloat or noise. The project publishes native packages for macOS, Linux, and Windows, with downloads available from its website and source, packaging, tooling, services, and components available on GitHub. Helium is currently in beta. Helium-specific code, patches, and other original content are licensed under GPL-3.0, while imported components retain their original licenses.
Google Workspace is a business productivity and collaboration service from Google. It provides business applications and tools for teamwork, and the videos identify it as a service used to set up a domain and business email.
LeadConnector is a CRM-stack service used for phone and lead-connection functions.
Meta/Facebook Ads is an advertising service used to create and distribute targeted advertisements on Facebook and related Meta platforms. In the cited use, the ads targeted homeowners by geography and directed them to instant-form lead-generation forms.
Hankscraft is a valve brand used in water-treatment systems.
Clack Corporation is a manufacturer of residential, industrial, and commercial water-treatment components, established in 1944 and serving original equipment manufacturers and distributors worldwide. Its products include control valves, such as the WS1.5PB valve for large residential and commercial applications, and tank recirculation equipment such as the TR-200 ozone kit. The company describes its products as American-made and provides product information and downloads through its Knowledge Center.
The Koerner Office newsletter is a weekly business newsletter covering ideas and tactics for starting and growing businesses and real estate holdings. It is published by The Koerner Office and is presented as an ongoing newsletter resource.
A partner program for building a remote home-service business, presented in the videos as an opportunity to start a water-filtration business and work directly with Parker J. Smith. The program offers a market-analysis call and a partnership process intended to help participants build the business within 90 days; the page says no prior experience is needed and describes the call as free and without obligation.
Twice the Ice is a vending-machine brand associated with ice vending businesses. In the cited video, it is mentioned as a possible source of location assistance and as having spacing restrictions between its machines.
The Acquired Home Depot Companion PDF is a companion publication for Acquired's Home Depot episode. It contains charts, tables, illustrations, and key concepts related to Home Depot's founding, operating model, growth, leadership changes, e-commerce and distribution, and competitive advantages.
Acquired's email list is a recurring newsletter from Ben and David covering episode takeaways, research photos, hints about upcoming episodes, and reader voting on future topics. It is maintained as an ongoing email service, with about one email per episode, typically once a month.
Acquired Slack is a Slack community for listeners of the Acquired podcast. It provides a place to discuss episodes with the Acquired hosts and other community members.
Built from Scratch is a book by Bernie Marcus and Arthur Blank about the founding and development of The Home Depot. It is described as a canonical account of the company's story, including Marcus and Blank's dismissal from Handy Dan, the creation of Home Depot, its early stores and operating model, and the company's subsequent growth.
Worldly Partners' Multi-Decade Home Depot Study is a publicly available business-history research study of Home Depot's business and operating system. It examines the warehouse-store format, supplier relationships, product assortment, logistics, technology, pricing, and the reinforcing growth flywheel connecting these elements. Worldly Partners publishes the study as part of its investment-process research into companies with exceptional long-term returns, through its Business History site; the reports are provided for informational purposes and are not investment advice or recommendations.
WeChat is a social communication and life-services app developed by Tencent. It supports text chats, HD voice and video calls, Moments, mobile payments, and other life services, and is also used as a commerce channel for product purchases in China. The app is available for iOS, Android, macOS, and Windows.
Rednote is a Chinese social-commerce platform used for discovering products and making purchases.
Confluent is an event-streaming platform used in the described system to carry live event messages from a win-probability system to downstream processing. That processing determines whether an event is a key moment and generates explanatory text.
Pedalscape is a website for taking virtual scenic bike rides in 3D. Scott Hanselman built it for use with an inexpensive bicycle and an Android tablet.
Agent Reach is an open-source command-line capability layer for AI agents. It selects, installs, configures, checks, and routes tools that let command-line agents read and search websites and services including web pages, YouTube, RSS, GitHub, Twitter/X, Reddit, Bilibili, Facebook, Instagram, Xiaohongshu, LinkedIn, V2EX, and Xueqiu. It uses an ordered list of backends for each channel and probes them for actual availability, selecting the first usable option and reporting failures and repair guidance through `agent-reach doctor`. The repository lists integrations such as Jina Reader for web pages, yt-dlp for YouTube transcripts, `gh` for GitHub, feedparser for RSS, Exa through mcporter for web search, and alternative CLI or browser-session-based routes for sites requiring authentication. Agents invoke the upstream tools directly rather than through a data-wrapping layer. The CLI supports environment checks, explicit system installation, dry runs, updates, and uninstalling. Credentials and cookies are documented as being stored locally in `~/.agent-reach/config.yaml` with owner-only permissions; authenticated services may require user-provided cookies or browser sessions. The project is distributed under the MIT license.
oh-my-hermes (OMH) is a plugin and operating layer for Hermes Agent that adds model routing, coding workflows, specialist skills, project memory, and evidence-gated execution without replacing Hermes as the natural-language interface. It scores requests, selects workflows and model-and-effort categories, applies model-family-specific prompting, and can split accepted plans into parallel worktree-based lanes with typed results and verification gates. Its workflows cover interviewing, research, planning, coding delegation, quality assurance, performance work, and iterative plan-build-review loops; the terminal interface exposes phase-based todos, delegated-lane status, cost and token telemetry, and execution states that distinguish preparation, reported completion, and verified results. OMH also provides a file-backed, reviewer-gated memory store with provenance, review dates, conflict handling, and task-scoped recall packs, while leaving Hermes's native memory untouched. It is distributed as a command-line package and plugin with installation paths including a shell installer, Homebrew, Bun, npm, and Hermes skill tap.
Kotlin is a concise, multiplatform programming language developed by JetBrains. It is used to build backend, mobile, web, and desktop applications, including native Android applications, and supports object-oriented and functional programming, asynchronous code, and null safety. Kotlin Multiplatform lets developers share code across platforms such as Android, iOS, macOS, Windows, Linux, and watchOS while retaining platform-specific code where needed. Kotlin is included with current versions of IntelliJ IDEA and Android Studio.
A React Native library for building graphics, animations, layered effects, and custom interfaces such as photo-based story experiences.
FlashList is a list library for React Native. It is described as the default list for many projects and is maintained by Shopify, including for critical compatibility fixes.
Legend List is a performance-focused list library used in T3 Code to improve rendering and scrolling on mobile, web, and Electron.
Legend State is a performance-focused library in the React ecosystem, associated with Legend List.
Viserys is a self-contained pack of Markdown engineering workflows, reviewer personas, validation scripts, commands, and lifecycle hooks for AI coding agents. Its workflow routes development through DEFINE, PLAN, BUILD, VERIFY, REVIEW, and SHIP stages, with 28 skills covering requirements clarification, specification and task breakdown, implementation, test-driven development, debugging, browser testing, review, security, performance, migrations, CI/CD, documentation, observability, and release preparation. The pack also includes four reviewer personas, shared checklists, evaluation cases and fixtures, and validators for skills, commands, artifact paths, reference links, and versions. The repository includes an OpenCode agent definition that registers the skills and routes requests through the lifecycle workflow. The Markdown skills can also be supplied to skill-aware agents such as Claude Code, Cursor, and other agents, or read directly as standalone process documents.
edge0 is an open-source streaming Mixture-of-Experts inference framework for running sparse MoE models on Apple Silicon Macs. Its MLX backend memory-maps expert weights from SSD storage and loads them on demand, so peak memory depends on the active experts rather than the model's total parameter count. A trained prerouter predicts the next expert routes so storage reads can overlap the forward pass, while Recover-LoRA adapters distill from the full-precision model to compensate for quantization loss; the base weights remain read-only and the adapters stay separate. The framework ships two end-to-end model tiers with bundled 4-bit checkpoints, LoRA adapters, and prerouter heads. It provides a command-line interface and Python API, supports demo, chat, and server modes, and exposes an OpenAI-compatible `/v1/chat/completions` endpoint. The current backend supports macOS on Apple Silicon M1 through M4; CUDA support is identified as planned. The repository is licensed under Apache-2.0.
3dviz-pro-max is a standalone agent skill for turning plain-language ideas into interactive Three.js or Blender scenes. It is designed for Claude Code and Codex, and provides a ten-step workflow covering intent, object reasoning, representation, construction routing, first-view creation, meaningful behavior, capture, inspection, refinement, and reporting. The skill includes searchable recipes and knowledge records, runnable Three.js templates, reusable scene kits, style and camera guidance, and a capture helper that drives a built scene in a browser and writes PNGs and console logs for inspection. Its catalog covers subjects including environments, anatomy, mathematics, physics, architecture, logistics, robotics, and abstract systems. The supplied Python helpers search the catalog and drive an existing scene; they do not themselves render or judge scenes, and screen capture requires an optional Playwright installation. The repository includes 37 runnable studies and a site at 3dviz.dev. Its own code, data, and authored media are released under the MIT license, while bundled third-party assets retain separate terms. Blender 4.2 LTS or newer is recommended but not required; without Blender, the repository states that scripts still run but kit output is limited to T2.
Life Recorder is an open-source native iPhone recorder with a private Mac receiver. The iPhone captures roughly one-minute AAC chunks while the screen is locked or other apps are in use, then uploads them over an authenticated HTTPS connection. The Mac receiver runs whisper.cpp locally, removes common stage-direction markers and repetitive hallucinated noise, and appends the results to one continuous Markdown transcript with hourly capture markers; audio is deleted after durable receipt and successful transcription. It requires an iPhone development build installed with Xcode, a macOS system running Python, ffmpeg, whisper-cli, and a downloaded GGML Whisper model. Setup creates a bearer token and self-signed TLS certificate, uses certificate pinning, and stores the transcript in a private runtime directory. The default connection is over the local network; cellular use requires a private VPN. The project is licensed under MIT.
deepseek-recipe is a collection of Rust libraries and Python bindings for converting API requests in Messages, Chat Completions, and Responses formats into a shared conversation representation, encoding conversations into prompts or token IDs for DeepSeek V4 and V4.1 models, and converting model output back into protocol-specific responses. It supports streaming, text and image inputs, thinking and reasoning settings, function tools, tool calls, JSON object output, and stop sequences; its image component provides DeepSeek V4.1 preprocessing with OpenCV. The package parses model output and handles prompt encoding, while inference, tool execution, and HTTP transport are supplied externally. It includes separate components for core conversation types, prompt encoding, image processing, Python bindings, and example Axum and FastAPI servers with mock inference. Project code and public documentation are licensed under the MIT License.
Infinite World is an open-source system for building persistent worlds with multimodal AI. It combines multimodal understanding, world simulation, and interaction in a continuous loop: prompts, images, or other inputs are interpreted into world state, rules, and possible actions; generated scenes respond to that state; and people, agents, and events can update the world. The runtime records scenes, choices, state changes, history, and branches so worlds can preserve context across scenes and be replayed. The project supports text, voice, and image interaction, local previews, saved-branch replay, and cached generated video. Its current local setup uses a Node.js and pnpm workspace, with FFmpeg and whisper.cpp for voice transcription and live output. Interactive live streaming is in development, while additional inputs such as chat, audio, mouse, and keyboard are planned. The repository describes the project as early development, with APIs and stored data subject to change, and distributes it under the Apache License 2.0.
Mural is an open-source native iPhone and Android language-learning app built around live conversations with an AI voice companion. It lets learners choose a learning language and subtitle language, practise through voice or typed replies, receive corrections and optional meaning subtitles, look up words, and review vocabulary from later conversations. Challenge levels and provisional ability observations are adjusted from evidence in the learner’s replies, while each language has separate progress records and conversation themes. The iPhone client uses SwiftUI, SwiftData, Keychain storage and WebRTC; the Android client uses Jetpack Compose. Conversations, vocabulary and preferences remain on the device, and learning data can be exported or imported as JSON. The app connects directly to OpenAI using the learner’s own API key, requires an internet connection, and sends practice audio, selected text, learning context and requested searches to OpenAI. Hosted free conversations, minute purchases, and public App Store or TestFlight distribution are not active according to the repository. Mural supports Norwegian Bokmål, Spanish from Spain, international English, French from France, German, Italian, Brazilian Portuguese and Standard Mandarin with Simplified Chinese. It is released under the MIT License; third-party components retain their own licenses.
geiger is a read-only command-line scanner from Atomburst that inventories AI agents, harnesses, MCP servers, plugins, skills, hooks, browser extensions, desktop AI applications, and related IDE configurations on a machine. It reads known configuration files and directories, identifies each finding's origin and evidence path, and labels capabilities such as code execution, secret storage, broad filesystem access, broad web access, and network access. Credential-shaped values are reported by key name, file, and secret type without exposing value contents; the scanner performs no telemetry and writes only an explicitly requested report file. It can emit terminal, HTML, or versioned JSON reports, scan specified project or home directories, enforce a strict exit status for findings that can execute code or hold secrets, and compare JSON snapshots to identify newly appeared, removed, or escalated findings. It runs through npx with Node.js 18 or newer, has no runtime dependencies or account requirement, and is licensed under MIT. The project notes that it reads configuration rather than runtime behavior, covers known locations, and does not determine whether a package is malicious.
Agent Launcher is a local desktop workspace for configuring and running existing coding-agent command-line interfaces. It detects installed CLI binaries, links or installs supported agents, applies account or provider profiles, and runs them in an embedded terminal or chat view without automatically reinstalling or updating already installed CLIs. It supports project-aware sessions by launching an agent in a selected project directory, synchronizes provider settings with CLI-native configuration files and environment variables, and performs a minimal model request to check credentials, endpoints, models, network access, and account status. The application reads local conversation histories in JSONL or SQLite formats, can resume or delete local sessions, displays installed MCP servers and Skills, and summarizes locally stored usage data. Agent Launcher distributes macOS, Windows, and Linux builds and is released under the MIT License. It is local-first rather than offline-only: launched agents send requests to the provider or relay selected by the active profile, while API keys are stored as plaintext in local configuration files and masked only in the interface.
Eliza OS is a software compatibility target for converted robot demonstration records.