2,454 tools and products — trending open source, and what gets used in AI and other work.
《人生进阶指南》 is a continuously updated open book and learning resource for lifelong learning in the AI age. It covers learning with AI, English learning, real projects, entrepreneurship, personal recovery, family learning, remote work, and recording evidence of progress. Its recurring process is: identify a problem, learn actively, collaborate with AI, complete a real task, preserve evidence, and review how to transfer the experience. The book distinguishes sourced research conclusions, personal experience, and hypotheses awaiting validation. The repository provides Chinese and English editions in EPUB and PDF formats, reader practice materials, an index, worksheets, and related project guidance. The main text is licensed CC BY-NC 4.0; site configuration, checking scripts, and build code use the MIT license.
Coucou is an open-source desktop companion for Claude Code and other coding-agent sessions, appearing in the macOS notch or as a top-of-screen island on Windows. It displays session events such as files read, edits, and commands run; surfaces Claude Code permission requests for Allow/Deny approval; opens the relevant terminal on macOS; provides built-in Claude chat; and accepts dropped files as context. It can also attach a macOS window as Claude context and display optional integration pills for services including GitHub, Vercel, Notion, and others. On macOS, a hook script forwards Claude Code events over a Unix socket and waits for approval responses, while a borderless NSPanel and a SwiftUI Canvas render the animated Mochi character. The native Swift 6, SwiftUI, and AppKit application has no third-party dependencies. On Windows, a Tauri 2 application uses Rust, TypeScript, a transparent always-on-top window, Canvas 2D rendering, and a named pipe for hook events. The project states that it collects no telemetry, requires no account, and stores credentials in the macOS Keychain or Windows Credential Manager. Coucou is distributed from the project's releases and can also be built from source. The code is licensed under MIT; the Mochi name, character, icon, sounds, and media are separately reserved by the author. The Windows installer is temporarily unavailable according to the README because its unsigned build was flagged by Microsoft Defender.
DSCODE is a macOS terminal coding agent and CLI built on DeepSeek Harness. Its persistent shell retains the working directory, environment, background jobs, edits, searches, patches, and test runs, while the TUI, CLI, and scripts share one session runtime. Sessions can hand tasks to other sessions, run side questions in read-only child sessions, delegate work to child agents in isolated Git worktrees, and use an independent read-only model to review changes and approve permissions. The `dscode exec` command supports non-interactive scripts and CI, with output streamed to stdout and tool activity and session identifiers sent to stderr. It also supports MCP servers, triggers, cross-session memory, multiple model providers, and a workspace-write sandbox with human-approval and automatic-review modes. Distribution is available through npm, Homebrew, GitHub release tarballs, and source; the project requires macOS 14 or later and is licensed under MIT. It is an independent community project, not an official DeepSeek product.
onetake is a Claude Agent Skill for creating product launch films, teasers, and feature demos as continuous one-take animations rather than sequences of cuts. It rebuilds product interfaces from screenshots in HTML, places them on the camera plane, and uses a motion library of measured spring, entrance, carry, collision, simulation, camera, and fluid-light movements. Its workflow requires a beat sheet in which each boundary identifies what survives into the next beat, then renders deterministic frames with sampled linear-light motion blur and event-based sound. Before a film is shown to a human, probe.py records frame contents, detects beat boundaries, and uses a continuity oracle to check whether visual elements carry across them. The verification also rejects uniform shot timing, missing stillness, clipped audio, fast movement without blur, and subjects leaving the frame. The repository includes rendering, verification, probing, reference-analysis, still-image, footage, narration, and sound scripts, with draft output at 1080p30 and final output at 4K60. It requires Python with Playwright and Chromium, NumPy, SciPy, Pillow, and Matplotlib, plus FFmpeg and Node; narration additionally uses faster-whisper and Kokoro TTS. It is distributed under the PolyForm Noncommercial 1.0.0 license, which permits personal, educational, research, and other noncommercial use but not commercial use.
ReelMimic is a local 2D animation tool that uses Claude Code or Codex to create a new video from a reference video and a brief. It analyzes the reference's shot count, pacing, BPM, transitions, framing, colors, and camera movements, then produces a storyboard, character and asset plan, and style frames for approval. After approval, multiple AI agents build different parts in parallel, while separate agents review completed shots and request fixes with before-and-after screenshots. The tool supports seven drawing engines: vector/motion graphics, hand-painted watercolor, crayon picture book, pixel art, paper cut-out stop-motion, whiteboard doodle, and anime cel; new styles are defined in Markdown. It runs on the user's computer, uses the user's Claude Code or Codex account, and does not reuse the reference video's footage, characters, logos, or assets. The repository is MIT-licensed and has been tested primarily on Windows, with macOS and Linux support described as less tested.
Agent Console is an open-source, local-first observability tool by LockedIn Labs for AI coding agents. It reads Claude Code and Codex transcripts to show token usage by cache reads, cache writes, output and uncached input, model and session activity, list-price cost estimates, burn rate and dollars per hour. A self-hosted hub can combine privacy-limited usage metadata from multiple machines over TLS, while keeping prompts, replies, file paths and file contents local. It also provides optional Claude Code OpenTelemetry and Kong or LiteLLM metric ingestion, a Prometheus endpoint, Grafana dashboard, presenting mode, alerts, and policy hooks. It runs locally from source or release downloads on macOS, Linux and Windows, requires Node.js 22 or newer for the source route, and is licensed under the MIT License.
Rungic is an AgentOS product that runs alongside Android on compatible phones, providing a Linux desktop with KDE Plasma and desktop applications such as Firefox, Blender, Krita and VS Code. The Linux environment runs in an LXC container on Android's kernel rather than in a virtual machine or emulator, while an Android app connects its display, touch input, sound and camera to the phone, a floating window or a TV. Users can install software through apt, Flatpak or Discover and use the phone as a touchpad and keyboard when casting. Rungic includes a bundled assistant whose reference integration uses a realtime voice model for conversation and Codex for background tasks. The assistant plans tasks, opens applications, clicks, types and returns created files in the conversation; its work can run in a separate desktop workspace so the user can continue using the phone. The system supports multiple agent workspaces, shared project folders, desktop control, phone controls and proactive system-care suggestions that record evidence, investigation results, repair plans and user decisions. Rungic exposes these capabilities through two MCP servers, command-line tools, D-Bus services and standard Linux interfaces, allowing other agents to be adapted to it. Rungic is under active development and in private preview. Its device adaptation currently requires a compatible, unlockable Android phone with an appropriate GKI kernel, ARM64 support and a Snapdragon processor with an Adreno GPU; the repository documents tested Motorola devices and separate preparation, Linux image-building and installation stages. Device preparation or bootloader unlocking can erase user data, and the repository advises backing up the phone and checking manufacturer and application restrictions.
Jeeves is a 9B reasoning Jev-style decision model for producing calibrated probabilities for yes/no, multiple-choice, and rating questions. It can support application decisions such as ticket routing, urgency flagging, and customer-frustration scoring through a Jev-compatible API. The model is based on Qwen3.5-9B with LoRA and a pointer head. It uses supervised fine-tuning and CISPO reinforcement learning to reason before deciding, then scores answer options with a pointer head and converts the scores into probabilities. A block-4 diffusion drafter accelerates reasoning-chain generation. The repository includes training and evaluation code, data-preparation scripts, released model weights, an inference server, CUDA and Metal execution paths, FP8 support, and a Python SDK designed as a drop-in replacement for Jev's SDK. The server accepts structured state and question definitions and returns answers, probabilities, confidence values, and optionally reasoning text.
Tusk is a native, keyboard-driven database client for macOS, Windows, and Linux, written in Rust with the GPUI framework. It connects to databases including PostgreSQL, MySQL, SQLite, SQL Server, Oracle, ClickHouse, Snowflake, BigQuery, Redis, MongoDB, Cassandra, and DynamoDB, and provides a virtualized GPU-rendered data grid, editable tables, schema and DDL tools, SQL editing with language-server completions, query history, exports, backups, SSH tunnels, and connection imports. Its AI assistant reads the relevant table schema, writes a SQL query into a new tab, and explains its assumptions; it does not execute SQL on its own. Tusk can connect the assistant to local agents such as Claude, Codex, or Gemini CLI through the Agent Client Protocol, while its built-in MCP server gives those agents access to an open connection. The application stores credentials in the operating system's credential store and states that it has no account requirement or telemetry. Tusk is free and open source. It is distributed through signed macOS releases and Homebrew, Windows archives, and Linux packages, with source builds available through Cargo. The repository specifies macOS 14 or later on Apple Silicon, Windows 10 or 11, and Linux on a Wayland desktop, with Xwayland supported as a fallback.
hypoarena is a fully offline scientific hypothesis-discovery workbench and command-line tool. It generates deterministic synthetic literature containing planted causal chains, competing hypotheses, paraphrase clusters, distractors, and contradictions, then runs a generate–debate–evolve loop through pluggable agent adapters that propose, critique, and revise hypotheses. Its pipeline includes span-level citation and claim-grounding checks, paraphrase deduplication using hashing, n-gram Jaccard, TF-IDF, and MinHash LSH, Bradley–Terry/Elo tournaments for ranking hypotheses or agents, hypothesis evolution operators, and Bayesian evidence accumulation. It produces Markdown and self-contained HTML reports with rankings, grounding flags, deduplication clusters, belief updates, run metadata, and limitations. The core runtime depends on NumPy; an optional CPU-only PyTorch extra demonstrates a trainable ranker. Examples and tests run without network access, real model calls, or downloaded weights, and the project is licensed under the MIT License.
iCode is a lightweight, extensible, fully offline terminal development platform and toolkit for orchestrating AI agents and workflows, developed as an open-source project by openJiuwen-ai. Its terminal interface shows the active agent, model, approval mode and session; renders Markdown and diagrams; and provides workflow execution views with per-node models, tool calls and token spending. Agents are configured rather than coded and can include instructions, tools, sub-agents, skills, MCP servers and memory. Model profiles from different providers can be switched during a conversation, while file diffs, turn-based rollback, token and cache usage, model/tool timelines, and an embedded shell expose and control execution. iCode does not include models, telemetry, analytics or crash reporting; it uses only the providers, MCP servers and hooks configured by the user. The repository describes the project as a work in progress, requires uv to run, and distributes it under the Apache License 2.0 alongside separately licensed third-party components.
A Claude Code skill for creating motion-design videos in code using HTML, Playwright, ffmpeg, Python, and Chromium. It computes each frame from a deterministic seek(t) function, renders frames with Playwright, blends subframes for motion blur, and encodes the result with ffmpeg. Its motion system includes closed-form springs, log-space camera keyframes, shared-element handoffs, masked word-by-word text, color floods, and ports of selected 21st.dev components. The workflow moves from inputs and a beat map through still-frame approval, full rendering, pop detection, audio generation, and final muxing. Audio processing finds musical drops by band energy, aligns the song to a key visual frame, places sound effects at measured peaks, and applies two-pass loudness normalization. The repository also includes a remake mode for frame-locked recreations with shot analysis, side-by-side verification, and royalty-free replacement audio. The code is MIT-licensed; downloaded third-party media remains under its respective license.
imajev is an open, locally runnable multimodal typed-decision model and repository maintained by Mohit Garg. It accepts up to two images, application state, and typed questions with user-defined answer options, then returns probabilities for each option together with an unknown probability, confidence, and abstention status. Example tasks include checking a product listing against its photo, comparing a returned item with a reference image, routing support tickets, and evaluating records against policies. Rather than generating an answer, imajev binds each option to a decision code and reads the model's logits at a decision position through a float32 output head. Its vision tower is frozen while LoRA adapters are trained on the language-model projections; the released 2B, 4B, and 9B variants are based on Qwen3.5 models. Unknown is trained as a first-class outcome for missing, contradictory, or out-of-scope evidence, allowing applications to route low-confidence cases to a person. The repository provides a local server and API with MLX and PyTorch paths, calibration files, playground applications, training scripts, and an ImajevBench evaluation suite. The code, adapters, and stated base models are distributed under Apache-2.0. The README describes English-only operation and limits of up to two images, 32 KB of state, eight questions per request, and 254 options; it also cautions that calibration and testing on application-specific data are needed before setting automation thresholds.
QDuo is a macOS menu-bar utility that displays configurable actions at the cursor when text is selected in native apps, browsers, Electron apps, or PDFs. Actions can translate, polish, explain, summarize, search, speak, transform, run shortcuts or shell scripts, or send prompts to DeepSeek, OpenAI, Doubao, Qwen, Ollama, and other OpenAI-compatible endpoints. It can also extract text from a screen-region screenshot. Results can replace the selection, be inserted after it, or be copied to the clipboard. The app supports capsule or ring-shaped popups, restores the clipboard when it must use clipboard access, stores API keys in the macOS Keychain, and uses a JSON configuration file at ~/.config/qduo/config.json. It is distributed as a signed and notarized macOS application through Homebrew or GitHub Releases, requires Accessibility permission, optionally requires Screen Recording for screenshot text, and is licensed under GPL v3.0.
Blueprint Animation is a Claude Design skill for presenting UX redesigns and design rationale as continuous blueprint animations. In Redesign mode, it turns the Before screen into a blueprint, animates only the changed parts, and reveals the After screen; in Explain mode, the unchanged screen is converted into a blueprint module by module with guides, dimensions, and labels. Each presentation uses 3–6 numbered steps containing a focus stage, blueprint conversion, construction or annotation, UI reveal, and an explanation of the fix or design decision. The skill reproduces Figma designs using their values, fonts, and exported icons, checks built screens against the Figma export, and includes rules for motion, text placement, UI swaps, performance, and handoff QA. It is distributed as a ZIP upload for Claude Design and is licensed by Oğuz under CC BY-NC 4.0; commercial use requires written permission.
Agent Office is a self-hosted 3D workspace for coordinating coding agents across GitHub repositories. It creates a floor for each project, places Claude Code, Codex, OpenCode and other supported agent workers at desks, streams their terminals, and lets users assign issues, queue tasks, provide Git worktrees, inspect changes and open pull requests. Workers can also list, hire, message and dismiss other workers through the agent-office MCP server or command-line interface. The office includes shared chat, voice, screen sharing and a whiteboard, plus a 2D /lite interface for phones and slower computers. It runs locally or can be deployed to AWS, Azure, Railway, Fly.io, Dokploy or an Ubuntu/Debian server, with multi-user accounts and per-user Claude and GitHub sign-ins. The repository describes it as work in progress, subject to breaking changes, and distributes it under the MIT license.
Naive-N0.5-Flash is an open-weight mixture-of-experts language model from NaiveAI for coding and AI research. It has 309 billion total parameters, 15.5 billion active parameters, and a native one-million-token context window implemented with a hybrid of 128-token Sliding-Window Attention and DeepSeek Sparse Attention; the latter's indexer scans the history while its backbone attends to the top 2,048 selected tokens, with no full-attention layers. The model is released under the MIT License with inference code, and supports FP8 mixed-precision inference through Transformers on FP8-capable NVIDIA GPUs; the repository reports approximately 315 GB of model weights. NaiveAI also describes NaiveRT, an inference system using mega-kernel fusion, Programmatic Dependent Launch, and speculative decoding.
seiso is a Markdown convention and linter for project documentation written by AI and read by people and coding agents. Its convention assigns each document a kind, such as how-to, reference, or ADR; keeps each fact in one canonical location; requires pointers to named files or symbols; separates different concerns; and avoids rapidly changing values in long-lived pages. The reference implementation checks documents against the convention and reports where each violation occurs and how to fix it, including the decision needed when a judgment call is involved. Stable rules run by default, while experimental preview rules require an explicit option; the CLI also provides commands for initialization, rule explanations, parsing, and checks. It can be installed through Cargo, PyPI, npm, or pipx, and integrates with Claude Code hooks, pre-commit, and CI. The project is licensed under MIT.
OpenAI MCP Extensions is an open-source extension framework for adding ChatGPT-specific capabilities to MCP, allowing developers to build plugins that behave as native ChatGPT features. Supported extension points include sidebar entry points, custom file-extension handlers, composer mentions for searching plugin resources and adding references to messages, and extended forms with thumbnail-based choices. The repository provides TypeScript and Python SDKs for MCP servers and Apps, along with plugin documentation and a specification. It is licensed under Apache License 2.0.
Universal Modder is an open-source toolkit by rehan-remade for AI coding agents that create offline, single-player mods for PC games. Its skills and tools identify a game's engine and existing modding route, inspect code and files, back up saves, build a working mod slice, generate art, 3D assets and audio through the fal MCP server, test the result in the running game, package it, and record findings for later agents. The repository supports Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and other agents that read AGENTS.md, and includes the Python `um` CLI for game scanning, asset generation and processing, Windows automation, save management, video capture, publishing checks and a shared knowledge base of game-specific field notes. Its rules restrict use to games owned by the user and offline or single-player work; they prohibit online cheats, anti-cheat or DRM bypasses, and distributing game files or decompiled code. The repository is MIT licensed and requires Python 3.10+ and ffmpeg; Blender is used for 3D-to-sprite rendering.
Dioramas is a free, open-source framework for building cinematic, interactive 3D websites in which the 3D scene forms the page. Its asset pipeline uses Nano Banana 2 on fal to generate product images and Meshy 7.1 on fal to convert them into textured 3D models, then optimizes the models with meshopt compression and WebP textures. The Three.js engine provides HDR post-processing, ambient occlusion, bloom, tone mapping, volumetric spotlights, planar reflections, procedural textures, and Lenis/GSAP scroll choreography, along with cursor, preloader, and navigation components. The repository includes 20 complete example sites, their asset prompts, an asset manifest, and scripts for generation, optimization, screenshots, and review. It runs locally with npm, ships its models in the repository, recommends a desktop GPU, and is licensed under MIT for code and CC BY 4.0 for generated models and images.
Job Radar is a self-hosted job-monitoring tool that watches company career boards, detects new and closed postings, scores openings against a resume with an LLM, and sends alerts. It tracks companies across ATS platforms including Greenhouse, Lever, Ashby, Workable, Workday, and Oracle Recruiting Cloud; each job receives a stable ID so new and removed postings can be identified. Its scoring applies code-based seniority and relevance caps in addition to the model's 0–10 score and explanation. It provides daily email and desktop alerts for selected companies, a ranked weekly digest, terminal commands for scanning, alerting, recapping, and listing results, and a local web interface for searching and filtering jobs. The repository requires Python 3.11 or later and a Mac because its scheduled jobs use launchd. It accepts any OpenAI-compatible LLM endpoint, uses Gmail App Passwords for email, and includes an installer that registers daily and weekly schedules. The project is released under the MIT license.
KCC is a cross-platform comic and manga converter for Kindle, Kobo, reMarkable, and other E Ink readers. It processes image folders, comic archives such as CBZ and EPUB, and PDFs, then resizes pages to device profiles, crops margins and page numbers, adjusts contrast and black levels, supports manga and webtoon layouts, and detects or splits two-page spreads. It can produce MOBI/AZW3, EPUB/KEPUB, CBZ, PDF, or image-folder output, with GUI and command-line tools for Windows, macOS, and Linux. The project also includes processing intended to reduce the rainbow effect on Kaleido 3 displays using a 2D discrete Fourier transform. KCC is released under the ISC license and is maintained in the ciromattia/kcc GitHub repository.
Zulu is a native Zulip client for iOS and macOS. It treats topics as first-class: topic-based channels appear as lists of threads, while channels without topics use a plain chat view. Users can organize channels into personal folders, promote topics alongside channels, and rename or hide items locally without changing the Zulip server. The client supports reading and sending messages in channels, topics, and direct messages; replies, reactions, file and image attachments, camera captures, and polls. The repository includes shared SwiftUI code, Zulip API and synchronization packages, a macOS app with sidebar and split-view navigation, and a separate Go notification service that builds to a container but is not deployed. It is described as early but usable and supports sign-in to any Zulip server with password or SSO authentication.
upm is a small npm-registry package manager written in TypeScript for Node.js. Its command-line operations are also importable JavaScript functions, allowing it to be embedded in other tools. It reads existing .npmrc configuration and supports package-lock.json, pnpm-lock.yaml, bun.lock, and its own upm.lock format. upm resolves and installs dependencies, manages workspaces, runs package scripts and executables, supports registry and tarball dependencies, and shares content-addressed files between projects through a store. It uses hardlinks when available, skips dependency lifecycle scripts by design, supports frozen, offline, production, verification, deduplication, fetching, and pruning modes, and provides an experimental resolver API that can run in a browser without Node.js. The repository describes it as prerelease software with current limitations including no Git or local-directory dependencies and limited peer-dependency handling. It is distributed under the MIT license and is developed in the unjs organization.
hntui is a terminal user interface for browsing Hacker News. It retrieves data from the public Hacker News Firebase API and provides the Top, New, Best, Ask, Show, Jobs, and Saved feeds, with story comments, article links, and browser opening. Navigation supports Vim-style keys and mouse input; comment threads can be collapsed, posts can be saved locally in a JSON file, and the interface includes dark and light themes. It runs in modern true-color terminals with UTF-8 and mouse support. The project distributes dependency-free binaries for macOS and Linux and can also be installed or run through Bun and npm. It is released under the MIT license.
Three.js Particle Fluids is a GPU particle-physics library for Three.js that simulates and renders liquids, soft bodies, cloth, and smoke with WebGPU. Its API provides a Simulation class, particle rendering, fluid and liquid-surface solvers, soft-body shape matching and mesh skinning, cloth constraints with wind, smoke tracers, colliders, neighbor grids, and mesh-to-distance-field baking. It includes demo presets such as water drops, dam breaks, viscous honey, jelly bodies, cloth, and buoyant smoke, along with documentation and an API reference. It is distributed as the npm package threejs-particle-fluids under the MIT license and requires Three.js r184 and a browser with WebGPU; there is no WebGL fallback.
PaperMono Shopping List is an open-source household shopping-list application consisting of firmware for the M5Stack PaperMono e-paper device, a FastAPI and SQLite server, and a phone web UI. The device displays items grouped by aisle, supports touch-based ticking and on-device entry, and works offline by queuing edits on flash. Wi-Fi is enabled only for scheduled synchronization, after edits, or when a stale list is accessed; the phone connects to the server over HTTP. The server maintains item and aisle data and can optionally send new item names to the Claude Code CLI for aisle classification, while manual aisle corrections are retained. The repository is licensed under the GNU GPL v3.0 and describes the project as a personal setup rather than a commercial product; it has been tested only with the PaperMono C153 and the server has no built-in authentication.
GPUI Fast is an experimental fork of GPUI, the UI framework used by the Zed editor, focused on retained-mode rendering and native view composition. Its retained layout engine preserves views whose inputs have not changed and reuses unchanged layout nodes, so subsequent frames render, lay out, prepaint, and paint only affected parts while replaying the previous output for retained views. Changes in entities, globals, list or scroll state, hover, bounds, content masks, and window refreshes invalidate the relevant retained state; retention can also be disabled for comparison and debugging. The project also explores placing native views such as a WebView inside a GPUI window while keeping GPUI popovers, menus, and dialogs above them. It aims to preserve GPUI's existing API and keep its changes in separate fast/ directories so applications can adopt the experimental behavior without rewriting their UI code. Applications can use the repository as a Git dependency in place of upstream GPUI; code that reads state outside GPUI's observable entities may require an explicit cx.notify() when that state changes. GPUI Fast is intended for experimentation and measurement, and its internals may change. It is based on upstream GPUI from Zed and is licensed under Apache-2.0.
DroidDeck is an Android application that brings a SteamOS-like gaming interface to supported Adreno handhelds. It runs Valve's Steam client in Big Picture mode and uses ARM64 Proton to run Windows games; an optional Linux desktop provides Flatpak applications and games from Flathub, along with emulators. It requires Android 9 or newer and a supported Adreno device, does not require root, and is distributed as an APK with a separate Linux runtime. Compatibility and performance vary by device; desktop compositing uses software rendering, and Firefox sandboxing is reduced under proot. The project is licensed under GPL-3.0 and is not affiliated with Valve.
Omarchy Spaces is a workspace-switcher widget for the Omarchy bar. It displays the application icons on each workspace, expands the active workspace, highlights the focused window, and provides live previews when another workspace is hovered; previews follow the monitor orientation and can be clicked to focus a window. It also supports optional status badges for Claude Code and OpenCode terminals, using hooks or a plugin to report working, waiting, done, and ended states. The widget supports clicking and scrolling to switch workspaces, window-title tooltips, configurable settings saved in Omarchy's shell configuration, and command-line preview and settings controls. It requires Omarchy 4 with the Quickshell bar, Hyprland 0.56 or newer, and jq for the agent hook. The repository is distributed under the MIT License.
Antigravity Fixer is an open-source command-line tool for diagnosing and fixing Google Antigravity, Gemini Code Assist, and related 9router eligibility and login errors. It checks account-related conditions, removes stale credentials and caches, terminates stuck processes, and can revoke OAuth connections before guiding the user through Google sign-in and age verification. It supports the Antigravity CLI and desktop/IDE installations on their platform-specific credential stores and application paths, and includes a clean-only mode for local cleanup. The tool is written in Python, uses Camoufox for headless browser automation and Rich for its terminal interface, prompts for passwords at runtime without writing them to disk or logs, and is distributed under the MIT license.
Arc Library is an open-source React component and block library by Elia Kuratli, providing interfaces with calm physical motion, keyboard support, and a reduced-motion path for every animation. Components use CSS modules with shared design and motion tokens, and can be installed through the shadcn CLI or copied into a project as source code; there is no runtime package to keep synchronized. It supports Next.js and Vite with or without Tailwind, and includes controls, inputs, overlays, feedback elements, data visualizations, tables, media components, text effects, and complete interface blocks. The free repository is MIT licensed. Components use Motion for animation and may use lucide-react or Radix UI primitives; theming is controlled through semantic CSS variables with separate light and dark values. Arc also provides an MCP server and machine-readable documentation for AI coding tools, while paid Arc Pro components are distributed separately.
Deck as Controller is a Decky Loader plugin that turns a Steam Deck into a wireless Bluetooth gamepad for a Mac or iPad. It can present the Deck as a PS5 DualSense, PS5 Edge, or Xbox Elite Series 2 controller, translating input from the Deck's built-in controller and supporting trackpads, gyro on PS5 profiles, selected back buttons, rumble handling, battery reporting for PS5 profiles, automatic reconnection, and screen-off operation. The plugin runs a daemon using the Deck's system Python: it temporarily reconfigures BlueZ to free the HID channels and serve the selected Bluetooth HID profile, takes exclusive access to the built-in controller over USB, and translates its reports into the selected controller format. Turning the plugin off or rebooting restores the stock Bluetooth setup and Deck controls. It is an early beta build with reported latency and connection issues, and is released under the MIT License.
CalcKernel is a statically typed language and compiler for numerical computation kernels: focused calculations that can be called from larger applications. Its typed functions, structures, integer and floating-point values, conditions, loops, and caller-owned data slices define an explicit boundary between calculation code and application responsibilities such as user interfaces, input/output, and data storage. The `ckc` compiler can check, run, and build `.ck` files into native programs or libraries, C source, or WebAssembly modules; native and C builds can optionally enable integer-overflow and slice-bounds checks, while WebAssembly builds support selected bulk-memory and SIMD optimizations. The project includes a runtime, tests, examples, documentation, public releases, and an optional Visual Studio Code extension, and is distributed under the MIT License.
DoxxNet is an Agentic Defined Network: a private, parallel network for people and software agents to browse, connect devices, call, message, and transfer files. Its P2P communications connect devices directly with end-to-end encryption, while its infrastructure includes private IP space, DNS, and hardware; agents can configure network controls through an API. The service provides encrypted voice and video calls, group and direct messaging, voice memos, on-device translation, and NetDrop transfers for full, unmodified files. It also offers DNS encryption, unwanted-domain blocking, private networking and routing controls, and agent identities with private network permissions. The site states that it does not retain provider-held communication logs and describes the network as zero-log infrastructure.
Fastino Labs is an AI company that builds open-weight language models for agentic AI. Its models are intended for fast type decisions such as intent routing, fact-checking, hallucination checks, and browser-agent tasks, and the video describes them as available for local use and through an inference API. The company’s site identifies GLiNER, GLiGuard, and the Fastino fine-tuning agent among its research and models.
HSBC RedCoin is a forthcoming Hong Kong-dollar-denominated stablecoin from HSBC. HSBC says it plans to launch the coin in the second half of 2026 under a licence granted in April 2026; it has not yet issued any stablecoins in Hong Kong. At launch, the stablecoin is planned to be available through PayMe and the HSBC HK Mobile App, initially for person-to-person and person-to-merchant payments, with later expansion to wholesale corporate and institutional uses.
BTQ Technologies is a global quantum technology company focused on securing mission-critical networks, including digital payments and digital money against future quantum-enabled attacks. Its public resources include a quantum-risk calculator, quantum education materials, research, and a company blog.
Qdrant is an open-source vector search engine written in Rust for storing vectors with JSON payloads and querying them through an API. It performs vector similarity search using HNSW traversal, applies metadata filters during retrieval, and supports dense, sparse, hybrid, and multivector search, along with reranking methods such as ColBERT and maximum marginal relevance. Qdrant can run on-premises, in hybrid or private deployments, at the edge through Qdrant Edge, or as the fully managed Qdrant Cloud service. The project is used for AI retrieval and supports synchronization between local or edge deployments and cloud-based memory.
Qdrant Edge is a lightweight, embedded vector search engine from Qdrant for in-process local retrieval on robots, kiosks, home assistants, mobile devices, drones, and other environments with limited or intermittent connectivity. It stores vectors and payloads locally in self-contained Edge Shards and performs ingestion, querying, and retrieval inside the application process without a background service, providing offline-capable search and low-latency access. An optional Qdrant server can synchronize with Edge Shards for backups, restores, heavier indexing, and aggregation across devices. Applications access Edge Shards through Qdrant's Python bindings or the qdrant-edge Rust crate; Qdrant Edge is a beta deployment option within Qdrant's open-source Rust vector search ecosystem, so its API and functionality may change.
Sonnet 5.5 is an Anthropic AI model positioned as a responsive workhorse for everyday coding, orchestration, and agentic coding tasks. Anthropic describes it as an upgrade over Sonnet 5 that runs 30% faster and costs up to 30% less for most work.
IBM watsonx is an AI platform that provides access to multiple models, allowing users to choose models for different tasks.
Apify MCP Server is an MCP server from Apify that lets AI assistants use Apify Actors as tools for web search, data extraction, scraping, browsing, and automation. Its hosted endpoint at mcp.apify.com supports Streamable HTTP and OAuth, while a local stdio distribution is available through the @apify/actors-mcp-server package. The server dynamically discovers Actors from the Apify Store, loads their input schemas, runs them, and exposes results through Apify datasets and key-value stores. It also provides tools for searching Apify documentation, inspecting and managing Actor runs, tasks, schedules, builds, and source files. Tool selection can be restricted through URL parameters or CLI flags, and the server supports agentic payment mechanisms including AGI, direct x402, and Skyfire.
jq is a lightweight command-line JSON processor for slicing, filtering, mapping, and transforming structured data. It can compose and pipe JSON output, including results from MCP clients such as mcpc, using an expression language modeled in part on tools such as sed, awk, and grep. jq is written in portable C, has no runtime dependencies, and is distributed as a standalone binary for multiple platforms.
Connector Evals is a framework for comparing connector performance across native command-line interfaces, raw MCP, and mcpc. It evaluates these approaches using task-completion time and token cost.
mcpc is Apify's open-source universal command-line client for the Model Context Protocol (MCP). It maps MCP operations for tools, prompts, resources, asynchronous tasks, skills, notifications, and logging to shell commands, communicating with local stdio servers and remote Streamable HTTP servers. Persistent named sessions keep connections, caches, notifications, and authentication state available across commands. The CLI supports progressive tool discovery through grep and compact tool listings, interactive shells, JSON output for jq, xargs, and shell pipelines, schema validation for scripts and CI, OAuth 2.1 with PKCE and bearer authentication, and a local proxy mode that keeps upstream credentials and OAuth tokens outside AI sandboxes. Its single configuration and credential store can be reused by shell-based AI coding agents, with credentials stored in the operating system keychain. It is distributed as the `@apify/mcpc` npm package.
SAP is an enterprise system of record used to receive procurement information and support purchasing workflows. In the procurement context described, it stores final purchasing data while related work may occur across emails, spreadsheets, supplier conversations, engineering, legal, finance, and operations.
Oracle is an enterprise system of record to which invoice and procurement information can be pushed. In the cited procurement context, it represents the incumbent software layer where final purchasing data is recorded, while surrounding work may involve emails, spreadsheets, supplier discussions, analyses, and operational decisions.
PowerPoint is a presentation format used in procurement work and cross-department communication.
Lio is an AI procurement workforce for global enterprises, built around a multi-agent system deployed across existing enterprise software stacks to automate sourcing, requests for quotation, document and quote processing, supplier negotiation, order confirmation, shipment tracking, invoices, and exception handling, including long-running negotiation tasks. It is designed to reduce manual procurement workload, support compliant adoption, and capture savings.
Official documentation for connecting MCP clients to Exa. It covers setup and use of Exa's web search, page-fetching, Exa Agent, and Exa Connect tools from clients such as ChatGPT, Codex, Claude, Grok, and Cursor.
Exa MCP Server is a Model Context Protocol server that connects AI agents to Exa's search API through a hosted endpoint. It provides real-time web search and webpage fetching with clean content and token-efficient, query-dependent highlights, with optional advanced search filters, domains, dates, highlights and subpage crawling. Exa supports search across web, news, company, people, financial, research and code content, along with structured outputs, grounded citations and Exa Agent for multi-step research, enrichment and structured output. Anonymous access is rate-limited, while higher limits and Exa Agent require OAuth or an Exa API key.
Kimchi is an open-source coding-agent platform and harness developed by Cast AI. Its terminal coding-agent CLI, built on the pi-mono coding-agent SDK, connects to Kimchi's LLM infrastructure and can operate in single-model or multi-model mode. In multi-model mode, an orchestrator classifies work into roles such as planning, building, reviewing, codebase exploration, and research, then delegates tasks to configured models or model pools using tier and task metadata; requests are tagged by phase and user-defined labels for usage and cost attribution. Kimchi includes Ferment, a persistent project-management mode that stores goals, phases, steps, decisions, memories, and append-only transition logs so work can resume across sessions. Ferment V2 provides an experimental objective controller with token budgets and independent completion evaluation. The CLI also provides Language Server Protocol tools for diagnostics, navigation, references, renaming, and type information, plus remote sessions that synchronize a working tree to a cloud sandbox and keep an agent running after the local terminal closes. Kimchi supports MCP and native Pi packages, migration of configurations from Claude Code, OpenCode, and Cursor, configurable command hooks, and installation through Homebrew, shell or PowerShell installers, or standalone binaries. The repository is licensed under Apache License 2.0.
Kimchi Teleport is a remote-sandbox feature of Kimchi for running coding-agent sessions away from a user's local computer. Sessions continue running after the user's laptop is closed and can be accessed from laptops or mobile devices. Kimchi is developed by Cast AI as a governed AI coding platform with a CLI coding agent, model-routing layer, spend controls, and open-source model support.
Kimchi Studio is a team collaboration interface for sharing AI-agent sessions, plans, tasks, reviews, backlog items, and work in progress. The video describes it as a shared Kanban board for agent sessions and presents it alongside Kimchi Teleport, which keeps agent sessions running remotely. Kimchi's platform applies an enforcement layer to AI coding requests, with model routing, spending limits, spend attribution, and deployment options for cloud or on-premises environments.
Cast AI is a Kubernetes optimization platform for cloud-native teams. It uses workload, infrastructure, cost, and SLO signals to automate actions such as pod rightsizing, node scaling, GPU and Spot optimization, workload replica and resource tuning, bin packing, and operational remediation with approval workflows. The platform connects to EKS, AKS, GKE, and on-premises clusters without requiring cluster changes. The videos also identify Cast AI as the company that created Kimchi, an open-source coding harness with tools for autonomous coding tasks, persistent agent sessions, and team collaboration.
Meticulous is an automated visual frontend testing service that generates and maintains browser tests without requiring developers to write individual test cases. It records user sessions through a browser script, tracks the code branches exercised by each interaction, and uses that coverage to curate a continuously evolving suite of visual end-to-end tests. On pull requests, it replays selected workflows with recorded backend responses, compares screenshots before and after code changes, and reports visual differences. Its runtime uses deterministic browser scheduling to reduce flaky tests, and its tests can run alongside or instead of an existing test suite through a CI integration.
Ray is an open-source, Python-native framework for managing, executing, and optimizing distributed computing workloads, developed by Anyscale. Its core provides tasks, actors, and objects for scaling Python applications, while higher-level libraries support data processing, distributed model training, batch and LLM inference, model serving, reinforcement learning, and end-to-end generative-AI workflows. Ray can coordinate heterogeneous CPU and GPU resources and scale workloads from a laptop to clusters with thousands of GPUs.
Slurm is a workload orchestration system used to schedule synthetic-data generation, model-training, and evaluation jobs on a separate GPU cluster.