2,418 tools and products — trending open source, and what gets used in AI and other work.
It's Giving is an open-source Python webcam application that recognizes facial expressions, hand gestures, and body positions, then overlays matching meme images or animated GIFs on the user's head. It uses MediaPipe face landmarks and blendshapes, hand points, body landmarks, face-relative measurements, tongue color, and hand speed; its calibrated version records seven seconds of the user's neutral expression and evaluates later expressions as deviations from that baseline. An ordered pose-matching pass requires gestures to persist for a configured number of frames before triggering, and the overlay follows the user's face with alpha compositing and animation support. The application publishes the result through a virtual camera for Zoom, Meet, Teams, Discord, OBS, and other webcam-compatible software. It includes fourteen predefined reactions, preview-only and virtual-camera modes, keyboard testing and recalibration controls, and an assets directory where users can replace or add reaction images. It runs with Python 3.11 or 3.12 and requires a virtual-camera backend such as OBS Studio or v4l2loopback, depending on the operating system.
Spun is a source-available music player for Linux that presents album artwork through CD, vinyl, cassette, and TP-7-inspired recorder interfaces. It plays local music and can browse YouTube Music anonymously, connect to Jellyfin, Navidrome, or Subsonic servers, and control Apple Music through a running Cider instance. Its player provides shared playback controls, queues, album details, lyrics, seeking, mini mode, desktop media controls, and optional modeled 3D views with lighting based on Noctalia's wallpaper palette. The application supports local imports without copying or modifying the original music files, separate queues for its supported sources, and an optional TX-6-style mixer for local, YouTube, Jellyfin, or Subsonic audio. YouTube support uses an isolated Python helper based on ytmusicapi and yt-dlp; Cider connectivity uses its local API and handles Apple Music authentication and streaming. The mixer performs EQ, delay, compression, and channel mixing inside Spun, but does not support external USB hardware, recording, MIDI, or separate auxiliary outputs. Spun is built from source with CMake, Ninja, Qt 6.8 or later, and TagLib 2.0 or later; Qt Quick 3D is optional. The repository states that there is no packaged installer yet. Its original code and assets are distributed under the PolyForm Noncommercial License 1.0.0, which is source-available and not OSI-approved.
Kool Brushez is a p5.js drawing app with six independent brushes: Score draws flowing musical-staff ribbons, Schematic creates drafting diagrams, Balloon reveals airbrushed shapes, Subway generates branching transit lines, Crowd draws animated people, and Gunpla grows model-kit sprues. All brushes use one shared canvas, so users can switch between them without reloading or losing existing marks; each brush has its own JavaScript drawing algorithm, settings, preview, and registry entry. The app provides brush-specific controls, auto-fill and variation modes, undo and redo, erasing across brushes, aspect-ratio fitting, keyboard shortcuts, touch and pen input, and PNG export. It is built with Vite, plain JavaScript and CSS, and is released under the MIT License.
MacTap is a macOS menu-bar app that turns one, two, or three knocks on a compatible MacBook chassis or the desk beneath it into keyboard shortcuts and other mapped actions. It supports left- and right-edge layouts, configurable sensitivity and actions, presets such as Daily, Coding, Capture, Media, and Focus, and per-application overrides. Tap classification runs on-device, with gesture mappings stored locally and nothing uploaded. It requires macOS 14.6 or later and a MacBook whose motion sensor is exposed as an SPU HID device, including M2-and-later models and M1 Pro, Max, or Ultra systems; some M1 models, including the original M1 Air, are unsupported. The app requires Accessibility permission for actions to send shortcuts, is distributed as a signed and notarized macOS app, and is licensed under the MIT license.
OpenShaders is an open-source platform and registry for discovering, creating, publishing, and using shader code in websites. It is being built around a collection of WebGL and WebGPU shaders, a live editor for creating and collaborating on shaders, and ready-to-use React components and JavaScript modules, including a shadcn registry for installing shaders from a terminal. The platform is hosted at openshaders.com and is released under the MIT license; its full experience is still under development, while users can claim usernames, generate shaders, explore existing work, and copy shader code.
WeKnora is an open-source, LLM-powered knowledge platform from Tencent for turning documents into queryable knowledge bases, retrieval-augmented Q&A, autonomous reasoning workflows, and self-maintaining Markdown wikis. It supports RAG-based quick Q&A and a ReAct agent that orchestrates retrieval, MCP tools, sandbox skills, and web search for multi-step tasks. Its Wiki Mode distills source documents into structured, interlinked Markdown pages with an interactive knowledge graph, manual editing, revision history, line-level diffs, and rollback. The platform ingests formats including PDF, Word, Markdown, HTML, images, spreadsheets, presentations, and XMind, and can synchronize sources such as Feishu, GitLab, Tencent IMA, Notion, Yuque, and RSS. Its modular pipeline supports interchangeable parsers, LLMs, embedding providers, vector databases, and storage backends, with dense, sparse, hybrid, parent-child, and graph-based retrieval strategies. WeKnora provides a web interface, REST API, command-line client, MCP server, website embed widget, and integrations with messaging channels. It can be deployed locally, with Docker, or on Kubernetes, including private and offline deployments. The repository states that it is licensed under the MIT License and supports workspace RBAC, scoped API keys, audit logs, and Langfuse-based observability.
ARTEMIS is an open-source Google tool for natural-language Android automation and testing. It drives real phones or emulators through end-to-end workflows, generates test plans, captures screenshots and logs, profiles performance, and produces structured reports. Its element-locating system combines accessibility hierarchies and OCR with visual-model and coordinate fallbacks for custom interfaces. ARTEMIS provides a CLI, web visual console, Python SDK, and native Model Context Protocol (MCP) server for connecting Android devices to AI coding assistants such as Antigravity, Claude Code, Codex, and Windsurf. Its Flash profile uses a reactive observe-and-act loop with compressed history, while the Pro profile uses planning, pre-execution checks, action bursts, incident recovery, checkpoint verification, and optional final reports. The project also includes an accessibility helper for reading screen layouts and can fall back to UIAutomator2. It is distributed under the Apache License 2.0; the repository reports 99%+ completion on Google Research's AndroidWorld benchmark.
Vorssaint is a free, open-source Swift/SwiftUI macOS menu bar toolkit that combines utilities including per-application volume and audio controls, output and microphone switching, system monitoring, network statistics, app and window switching, window snapping, Dock previews, clipboard history, text snippets, file staging, screen capture, display and energy controls, media tools, cleaning, and app removal. It is modular: users can install or remove complete features, with removed features stopping loading while retaining their settings for later reinstallation. The toolkit also provides configurable shortcuts, panels, a command bar, and optional bundles for common setups. Vorssaint runs locally without an account, analytics, tracking, subscription, or required network service; its volume mixer requires no audio driver or setup, and selected features request only the relevant macOS permissions, including accessibility, screen recording, audio recording, microphone, camera, calendars, notifications, and disk access.
Expo is a React Native development and deployment platform for building native iOS, Android, and web apps from a shared codebase. Its CLI and development tools support local development, device and simulator testing, web support, app-store builds and submissions, and automated workflows for builds, tests, releases, and over-the-air updates. The platform also provides cloud simulators, production performance monitoring, hosting, and APIs for native app capabilities.
SoL-Pi is an open-source standalone extension for the Pi coding agent, developed and maintained by NVIDIA. It packages four opt-in efficiency mechanisms: Action Fusion runs a follow-up validation command in the same edit or write call; ObservationPack replaces repeated large tool results with stable handles that support exact paged recall; the Evidence-Preserving Reducer condenses diagnostic logs into receipts only when retained quotations match archived source material; and Online Context Compact marks completed plan steps for Pi's native compaction when economic and context-window checks allow it. The extension operates through Pi's public APIs without patching or vendoring Pi, leaves the mechanisms disabled by default, and preserves original observations locally. It requires Node.js 22.19 or newer and is released under the MIT License.
An open-source Codex configuration that uses Astra as the root orchestrator and independent reviewer, with Luna-based subagents for exploration, implementation, testing, and research. It provides separate Pro and Plus profiles, TOML role configurations, an Astra orchestrator skill, project-level AGENTS.md instructions, and shell and PowerShell installers that copy the selected configuration into a target repository. The profiles set model, reasoning-effort, approval, sandbox, and concurrent-thread settings, while named role files can override the defaults. The repository also includes guides for orchestration patterns, plan-specific setup, iteration, and token-usage reporting from Codex session logs. It is licensed under Apache License 2.0.
Zetta is an open-source closed-loop embodied harness for self-evolving physical intelligence. It keeps a base policy frozen while evolving code-based runtime critics and recovery skills when rollouts fail. Its evolution protocol clusters failed trajectories, uses a diagnostic stage to identify an observable causal failure mechanism, generates Critic-Recovery candidates under fixed tool schemas, and checks them through shadow replay, paired same-seed evaluation, and held-out seeds. Candidates are rejected or promoted based on these gates; the critic may propose recovery actions, a higher-level role approves them, and a bounded recovery actor executes only approved programs. The repository provides campaign management, rollout workers and environment backends for systems including LIBERO, RoboCasa, RoboTwin, and Genie Sim, along with manifests, tool catalogs, audit records, deployment helpers, and contract tests. It supports Python 3.10–3.12, while simulator assets, model weights, credentials, and host runtime files remain outside the repository.
Birdview is an open-source developer tool that makes AI coding agents map a project's architecture before editing. Its Birdview workflow defines modules, responsibilities, file ownership, evidence, relationships, and layout in an architecture JSON file; an agent then declares planned task scope, targets, files, lifecycle phases, and verification records against that map in an activity JSONL stream. Validators check the schemas and cross-record rules before a renderer produces a standalone interactive HTML view with architecture, changes, comparison, module evidence, and activity-history views. Birdview supports automatic or on-demand activation through project-level agent guidance and includes Node.js scripts, JSON Schemas, example maps, and tests. The generated output has no server or network dependency, but the v0.1 implementation is file-based: activity is agent-declared rather than automatically observed, and updates require regenerating the HTML. It is MIT-licensed and is not published to npm.
Rune is a GPU-rendered, keyboard-driven IDE for power users, developed by Unstable Build. It combines code editing, terminals, command-line tools, language intelligence, debugging, file and workspace management, and AI agents in a composable multi-workspace environment with a character-grid interface. Rune Agent is provided separately as an extension in the same repository rather than being part of the core editor. Rune is an application written in Go and built with standard Go tooling; its GPU renderer uses cgo and requires platform-specific graphics and development libraries. The application is licensed under the GNU General Public License version 3 or later, while the separate rune-go-sdk extension module is licensed under Apache-2.0.
CryptosRUs is a crypto media brand and channel associated with George, covering market commentary, livestreams, and crypto news. Its site provides daily market briefings, a live BTC/ETH/SOL ticker, chart and market-context research, and links to its YouTube community and trader Discord. The coverage includes market drivers, ETF flows, chart levels, liquidity, macro developments, and questions for traders to investigate. CryptosRUs also publishes a twice-weekly newsletter and promotes related learning and market tools, including MarketPulse and AskClash.
Coder is a self-hosted platform for cloud development environments and AI coding agents. It defines workspaces with Terraform and can provision them on EC2 virtual machines, Kubernetes pods, Docker containers, and other infrastructure, connecting users through a secure WireGuard tunnel and automatically shutting down idle resources. Coder Agents runs a native AI coding-agent loop in the control plane on the operator's infrastructure. It supports models from Anthropic, OpenAI, Google, Amazon Bedrock, and self-hosted providers without placing LLM credentials in workspaces, while providing centralized model governance, cost tracking, identity on actions, and audit logging. Workspaces can be accessed through existing IDEs including VS Code and JetBrains products.
Jevlike is an open-source research starter for training small models that choose among a variable list of text options. Given a context and an option list, it represents each option as a query, attends to the context tokens to produce an option-specific context vector, applies a shared dot product, and runs a softmax across the options to return probabilities in one pass rather than generating an answer token by token. It provides a trainable byte-level encoder and an optional frozen Hugging Face encoder, with command-line tools for generating synthetic data, training, evaluation, and prediction from JSONL records. The repository also includes a visual option scorer used by Doom and chess controller examples. Training supports CPU, Apple MPS, and CUDA; the default encoder truncates contexts to 192 bytes and options to 32 bytes, and the project requires the complete option list at prediction time. Jevlike is an independent implementation rather than a copy of TypeSafe's commercial Jev model, and its code is released under the MIT License.
@shadcn/lint is an agent-first linter for Tailwind v4 design systems. It lets teams define component and theme rules that coding agents can verify through ESLint or Oxlint, reporting violations with suggested fixes drawn from existing components, variants, and theme values. Its rules include preventing component restyling, raw colors, arbitrary values, inline styles, unknown Tailwind classes, and dynamic classes the linter cannot read; custom contracts, messages, placeholders, component-import settings, and shared configuration are supported. It can be used with custom Tailwind components and does not require shadcn/ui. The package requires Node.js 20.19 or later, with ESLint 9.30 or later or Oxlint 1.80 or later, and is licensed under MIT.
Pizza Bot is a local-first inbox for long-running AI-agent work, developed at Amazon. It lets users start or schedule tasks, switch conversations, and return to completed work in an Unread queue or approval requests in an Action queue. Its stateful DeepAgents/LangGraph runtime checkpoints runs so they can continue after a client disconnects; cron and webhook triggers can also start work. Electron, browser, and terminal clients communicate with an api-server over HTTP/SSE, while skills provide tool-scoped subagents and MCP servers extend the system. The project supports model providers including Amazon Bedrock, Anthropic, Google Gemini, OpenAI, OpenRouter, and Ollama. It stores application state locally, requires explicit folder permissions for local file access, and is distributed under the Apache 2.0 license with desktop installers for macOS, Windows, and Linux.
page-mascot is a web component that adds an interactive character which tracks the cursor and displays a reaction when clicked. Each character uses two aligned 3×3 sprite sheets: one with nine head directions and one with nine expressions. The pointer angle selects a direction, with a dead zone near the cursor, while a click displays a reaction for half a second. Existing mascots can be supplied as image sheets, or the included coding-agent skill can generate nine directions and nine expressions for a custom character and place it on a page. It supports colour, ink, sketch, riso, paper, and pixel styles; tracking is disabled without a fine pointer, and click animation respects prefers-reduced-motion. The package is distributed through npm and licensed under the MIT License.
AgentVerse OS is a personal cloud operating system for a developer and their AI agents, installed on an Ubuntu server and accessed through a browser from a laptop, tablet, or phone. It provides a windowed desktop, isolated project workspaces, browser-based VS Code and a terminal, and supports Claude Code and Codex agents whose work remains on the server. Each project runs in an isolated Incus container with Docker inside, its own network and access gate. A Rust core coordinates projects, workspaces, capabilities, applications, backups, and updates; Coder controls the workspaces, Komodo deploys application stacks, Caddy provides the entry points, and Tailscale supplies private access and certificates. Projects request capabilities such as S3 storage, an LLM gateway, or notifications, which the core connects to provider networks and exposes through environment variables. The system includes a store combining catalogs from Runtipi, Coolify, and Umbrel, with guided installation, logs, snapshots, rollback, and application updates. It also supports ZFS snapshots, restic backups, an embedded Svelte desktop PWA, and one-command installation from a release package or source. The project is in alpha, is designed for one person, has no user accounts or permissions yet, and requires a clean Ubuntu installation and a Tailscale account. The repository is licensed under Apache-2.0; store applications retain their own licenses.
AuK is an open-source 1.5-billion-parameter foundation model for speech generation and editing, developed by Tencent Hunyuan. It exposes zero-shot and instruction-based text-to-speech, content and lyric rewriting, pitch, speed, volume, emotion, timbre, accent, whisper and nonverbal-sound editing, speech enhancement, speaker separation, music separation, and target-speaker extraction through a unified natural-language instruction interface. Inputs can include text instructions and optional source or reference audio; outputs are generated or edited audio. The repository provides an AuK base model for configurable high-quality generation and AuK-Flash, a distilled variant using four-step inference, along with command-line, Python, Gradio, ComfyUI, and fine-tuning interfaces. The code is released under the MIT License, and model weights are distributed through Hugging Face and ModelScope.
Video Gen Client is an asynchronous Python client for video-generation APIs from Seedance, Kling, MiniMax/Hailuo, and Wan. It provides a shared interface for text-to-video and image-to-video generation, with provider and model discovery, task-status polling, and MP4 output. The project includes a command-line interface for listing providers and models, submitting generation jobs, checking task status, and serving the application. Its bundled FastAPI web UI supports provider and model selection, prompts, negative prompts, duration, aspect ratio, resolution, live task polling, video preview, MP4 download, and in-memory task history; it is served from the Python package without an npm, Node.js, or frontend build step. Provider adapters depend on external APIs and model IDs that may change independently of the client and therefore may require updates. The project is licensed under the MIT License.
open-compute is a self-hosted Cloudflare Workers-compatible platform that packages the Worker runtime, control plane, scheduler, storage, queues, cron, workflows, and related bindings into one Rust binary for infrastructure controlled by its operator. It supports module Workers, familiar bindings, and Wrangler-based deployment, with SQLite for platform metadata and local filesystem storage by default; S3-compatible object storage is optional. The binary uses a pinned, checksum-verified workerd fork to execute isolated Workers, while its control plane handles ingress, APIs, scheduling, supervision, deployments, readiness, shutdown, and recovery. Deployments are immutable and content-addressed, and the platform includes KV, D1, R2, Durable Objects, Queues, Workflows, Cache, static assets, service bindings, and other documented compatibility surfaces. It is designed for a single node and does not provide Cloudflare's global edge, cross-region replication, or a high-availability cluster. open-compute is built in Rust and distributed as a release executable with embedded, verified runtime payloads. It is licensed under Apache-2.0; its packaged workerd fork remains subject to the applicable upstream Cloudflare workerd licensing.
Fugleramme is a self-hosted bird-display application for Raspberry Pi and web kiosks. It uses BirdNET-Go to detect birds from microphone audio, polls its API for detected species, matches each species to a curated public-domain illustration, and arranges the cut-outs on a textured page with larger birds toward the centre and sizes based on body mass. The display redraws when detections change and can run on a Pimoroni Inky Impression e-ink panel or any network-connected screen; an admin page configures what is shown. The project includes more than 800 illustrations covering over 400 species, with strongest coverage in Scandinavia, the British Isles, and Germany. It can use an existing BirdNET-Go installation, run in a container, or be installed as a systemd service on a Raspberry Pi. Fugleramme's code is MIT-licensed; BirdNET-Go, detection data, artwork, fonts, and taxonomy assets have separate licenses and attribution requirements.
Plexo is an open-source download manager for Windows and macOS that combines multiple recognized network interfaces, such as Wi-Fi, Ethernet, and USB tethering, to download one file concurrently. It probes for HTTP range support, divides the file into fixed 8 MB byte ranges, and sends independent range requests through sockets bound to specific local interface addresses. A shared work-stealing queue lets faster interfaces process more chunks, while each chunk is written to a temporary part file and later streamed into the assembled destination file. Downloads support pause and recovery, validator-checked resume using ETag and Last-Modified, retries with backoff, stall detection, redirect handling, disk-space checks, and per-interface transfer telemetry. Plexo is built with Electron, React, TypeScript, and Node.js. The repository states that it currently has no pre-built releases, so it must be run or packaged from source; local builds for macOS and Windows are unsigned. It is licensed under the MIT License.
H3 Max is fal’s post-trained video-generation model, based on MiniMax’s open-weight video model. It combines model post-training with systems and hardware optimization to reduce generation time while maintaining video quality, supporting fast generation, interactive streams, and professional video workflows. Its continuous-video experiments can retain previous scene context and respond to new directions while a stream is running, with development focused on controllable camera movement, lighting, characters, motion, and lip sync.
Whale Trades is a free crypto-market dashboard for viewing real-time market signals and data in one place. It tracks Bitcoin, Ethereum, and altcoin indicators such as Pi Cycle Top, Puell Multiple, an RSI heatmap, sentiment, liquidations, open interest, ETF inflows, long/short ratios, and live events. The dashboard also provides position-sizing, risk-to-reward, percentage-change, and DCA-related calculation tools, along with a volume heatmap and exchange finder.
CLASH Project Games is a browser-based collection of games in the CLASH ecosystem, hosted by CLASH Project. It includes the Front Line first-person shooter, ClashJam arcade basketball, Angry Crypto slingshot, Clash Kart racing, Crypto vs Bankers tower defense, Crypto Crush match-3, Crypto Road lane-dodging, and Crypto Trail, a 30-day trading and survival game. The games support guest or account-based play on desktop and mobile; accounts can use Discord, Google, or email sign-in, and player profiles connect across games. Gameplay, predictions, and competitions contribute to a shared Clash Score, while eligible completions award pCLASH to linked AskClash accounts, subject to the site's daily limit, and pCLASH can be used on ClashPicks.
Databricks is a unified platform for data, analytics, and AI. It supports ETL, data warehousing, governance, and AI workflows through a data-centric platform. The videos describe its use for security detection, organizational ontologies, agents, and internal enterprise AI workflows.
SemIf is an independent open-source tool, formerly called OpenJev, for making runtime-defined semantic decisions with open language models. It accepts unstructured state, runtime-defined questions or criteria, and typed options, then reads the model’s native option logits to return conditional probabilities rather than generating an answer sentence, JSON, or running a decoding or parsing loop. It supports direct, serial, and shared-state execution, prefilling common state for evaluation of multiple criteria; results include option scores, timing, the exact model revision, and a prompt hash. It supports local GPU and CPU workflows, Apple Silicon MPS and MLX, and llama.cpp backends, and provides a browser-based WebGPU demo, reproducible fixtures and benchmark runners, calibration methods, and quality evaluations. The project is an independent reproduction of the interface pattern of TypeSafe’s closed Jev service, not its model or training, and is not affiliated with Jev or TypeSafe. The code is released under the MIT License.
typesafe-computer-use is an open-source macOS computer-use tool that drives a Mac toward a plain-English goal. It captures the frontmost window, reads text with OCR, collects labelled controls from the macOS accessibility tree, parses dates, and sends a structured list of possible actions to the TypeSafe decision model instead of sending screenshots to a frontier model for every step. The loop chooses actions such as clicking, scrolling, browser navigation, waiting, or pressing keys; a writing model is called only for free-text entry, proposed URLs, and the final answer, while passwords are never typed. It supports dry runs, confidence and step limits, annotated captures, detailed action and probability logs, and offline replay of saved screenshots. The repository targets macOS 14 or newer with Python 3.12 or newer, requires a TypeSafe API key, and is licensed under the MIT License.
Splash is a local inference engine for Apple silicon developed by Inco AI. It serves selected language models to coding agents and clients compatible with the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs, with streaming, tool calls, JSON Schema output, image input, and inline PDF support. Its runtime uses model-specific fused Metal kernels, weights packed for those kernels, a dedicated DFlash 2 draft model for speculative decoding, and a startup-computed memory plan for context, KV cache, and batching. The served model packages include the target model and its draft model; plain MLX or Transformers checkpoints are not supported. Splash runs locally on macOS, binds to a local HTTP server by default, and can be installed through Homebrew. The project is licensed under Apache-2.0, while model weights retain their own licenses.
Compositor is a free, open-source image editor for macOS built around Photoshop-style compositing and post-processing workflows. It uses layers and folders with blend modes, opacity, masks, clipping masks, adjustment layers, non-destructive transforms, selections, painting and retouching tools, content-aware fill, filters, and multiple project tabs. It imports JPEG, PNG, HEIC, and TIFF files, and exports JPEG images; Photoshop-style keyboard shortcuts are supported throughout. The repository provides an Xcode project and documents macOS 26 and Xcode 26 requirements. It is licensed under the MIT License.
Solana is a smart-contract blockchain platform identified in the source as a major platform for tokenization.
Sentry is an application performance monitoring and error-tracking platform for developers and software teams. It helps identify and debug problems in real-world applications, with agent-focused features that expose traces, request and token costs, timelines, chat transcripts, errors, and the full request pipeline. Its Sentry MCP lets large-language-model agents access Sentry data to investigate and debug production issues.
The Horowitz Andreessen Academy is a selective residential, project-based school in San Francisco for ambitious young builders after high school or during the first two years of college. Its educational model replaces traditional grades, tests, and homework with three components: Pursuits, in which students choose personal projects, startup ideas, or research interests; short Courses taught by technology founders and operators; and Co-ops that provide hands-on experience at partner companies. Students use AI tools and other resources to build projects, explore startup ideas, work with companies, and develop professional and people skills. The Academy is building a network of founding and hiring partners that can provide curriculum input, compute and hardware access, mentoring, co-op placements, and employment opportunities. Its announced Founding Class Fellowship is a tuition-free, one-year program beginning in fall 2027; a separate two-year program is planned but was not yet offered or enrolling at the time of the announcement.
Hindsight is an agent memory system developed by Vectorize.io for storing, retrieving, and synthesizing long-term memories for AI agents. It organizes memories into world facts, experiences, observations, and mental models within isolated memory banks, with support for multilingual data and optional per-bank scanning for secrets and personally identifiable information. Its retain operation uses an LLM to extract facts, entities, relationships, and temporal data, then normalizes them into searchable representations. Recall combines semantic vector search, BM25 keyword matching, entity/temporal/causal graph links, and time-range filtering, merging results with reciprocal-rank fusion and cross-encoder reranking. Reflect performs deeper analysis of stored memories to form connections and answer questions requiring more than retrieval. Mental models and knowledge pages provide continuously updated answers or documents derived from a bank's memories. Hindsight can run as a Docker service, Python package, embedded database, Kubernetes deployment, or hosted Hindsight Cloud service. It provides Python, Node.js, Go, CLI, and REST clients, an OpenAI-compatible LLM wrapper, integrations for agent frameworks and coding agents, and a built-in Model Context Protocol server. Self-hosted storage uses PostgreSQL with pgvector or Oracle AI Database 23ai; the project is MIT-licensed.
mini-AGI is an experimental continual-learning, byte-level language model that trains from scratch on a CUDA-capable GPU with at least 8 GB of VRAM. It reads 256 byte values directly rather than using a conventional tokenizer, processes data one chunk at a time, and uses the same forward path for training and generation. Its architecture combines dense prelude blocks with a recurrent block applied up to 24 times, adaptive PonderNet-style halting, and per-application top-8 routing through a dynamically growing and pruning expert pool. Expert weights and Adam moments are stored as files on disk; a working set is paged through RAM and VRAM as needed, allowing the pool size to exceed available VRAM. The project includes Python commands for building corpora, reading files, streaming training, serving a local web interface, and inspecting or replicating continual-learning experiments. The repository describes the current model as toy-level rather than frontier-capable, and its weights are generated in the local weights directory rather than distributed with the source.
OpenMuse is a personal-agent application built by CopilotKit for iOS, Android, and web. It combines a persistent Chromium browser with an optional isolated Linux container, file and PDF handling, visible task plans, action reviews, and browser or terminal takeover so a person can inspect or continue the agent's work. It also provides Gmail and Google Calendar adapters with review required for sends and calendar changes. The application runs an API, durable task worker, and browser worker. Tasks use stored plans, progress, approvals, pauses, retries, and SQL leases; the browser worker maintains persistent Chromium profiles, while the optional non-root Linux container provides a retained workspace volume with bounded commands and no host-directory mounts or credentials. The interface is built with CopilotKit headless chat and AG-UI events, with inline email, browser, PDF, plan, and finance results. The repository describes OpenMuse as an alpha for self-hosting and building on, with model and Google-account configuration required for live agent and mail/calendar workflows. It is MIT licensed; CopilotKit Intelligence is a separate required service for rich conversation persistence and is not included under the repository's license.
Unreal Agent is an async-first agent harness from Unreal Labs. Its library and command-line executables coordinate persisted agent sessions, LLM turns, tool calls, and asynchronous operations. Inputs carry caller-supplied globally unique IDs for deduplication; sessions store append-only history that can be recovered or forked; and tool translators validate model-produced calls and convert them into serializable operations whose execution state is tracked separately. The harness includes a session inbox, coordinator, session store, context builder, LLM adapter, tool registry, tool translators, and an operation manager. Session and operation data are versioned and serializable, allowing operations to be dispatched to alternative or remote runtimes; unsupported session versions produce an explicit resume error. The repository contains the harness library, executables, and benchmark runners.
Z.ai's coding agent harness and AI programming workspace, offered through a desktop application, browser interface, and terminal agent. Its repository contains the client, backend services, shared React UI, Agent CLI, and runtime; the desktop client uses Electron, while the web and server components communicate through HTTP and WebSocket services. It supports remote project connections over SSH and WSL. The standalone command-line distribution combines a terminal UI, web server, and agent, and can run locally without Electron; the same command starts either the terminal interface or a browser-accessible web interface.
Search is a small, fast WebKit browser for macOS developed by Office Commun. It provides a single address-and-search field, tabs, reading mode, picture-in-picture video, bookmarks, history, downloads, built-in ad and tracker blocking, per-site clutter hiding, and password storage in the macOS keychain. It has no account, sync, cloud storage, telemetry, or analytics; browsing data remains on the Mac. The browser uses WebKit and lazily creates each tab's web view, while its ad blocker runs as a compiled WKContentRuleList before network requests are made and its hidden-element rules are injected at document start. It can run Chrome extensions through WebKit's extension engine, adding shims for Chrome APIs that WebKit lacks; extension support requires macOS 15.4 or later. Search supports macOS 14 or later, is distributed as a free download of about 3 MB or through Homebrew, and is licensed under the MIT License. The repository contains a Swift and SwiftUI/AppKit implementation with no dependencies beyond Apple's macOS frameworks.
BongoCat is a native animated desktop companion that reacts to keyboard, pointer, and gamepad input. It is built in C and C++ with SDL3 and OpenGL, supports Windows, macOS, and Linux, and processes keyboard and mouse input locally rather than recording or uploading it. The runtime uses platform-specific input listeners, an atomic input queue, an SDL3 main loop, model-parameter updates, and OpenGL composition for the pet window and overlays. It includes built-in model assets and supports external model sources, including Mver packages, Tauri sources, `.model3.json` files, and image patches. Live2D rendering uses the Cubism SDK when available; without it, the project builds a diagnostic backend. The source code and native runtime are licensed under AGPL-3.0-only, while the default model mode and bundled model assets have separate MIT licensing.
Company Brain is an open-source Slack teammate developed by supermemory. It remembers decisions, projects, owners, and other context from the Slack channels and connected tools it can access, answers questions from that information, and can act through tools such as GitHub, Linear, Notion, and Google Workspace via MCP. It can open issues, read pull requests, run repository scripts in a sandbox, return charts, CSVs, and PDFs in Slack, speak up when relevant, and send scheduled digests or perform research. Its memory is organized as a permissions graph: public-channel queries use the shared organizational memory, private-channel queries add that channel's memory, and direct messages can use the asker's personal memory and private channels. Tool writes run through the user's own connection, while access requiring another teammate's connection requires that teammate's approval. The project runs on a user's Cloudflare account using Workers, Durable Objects, D1, KV, and supermemory for memory; it can be deployed through a setup flow or run locally. The repository states that the formerly paid product was discontinued and released under the Apache 2.0 license.
CLM is an AI decision-making model and Python service that selects among candidate actions by embedding a state and each action separately, then scoring their alignment instead of generating a textual response. It is trained with bidirectional InfoNCE: matched state-action pairs are pulled together while incorrect or hard-negative actions are pushed apart. At deployment, cached state and action embeddings are scored with a projection head, enabling typed decisions such as binary judgments, choices, and ordered scores, as well as ranking candidate answers, tools, trajectories, or next moves. The repository provides CLM-8B through a TypeSafe-compatible HTTP API and a local Python engine. It runs a Qwen3-8B pooling encoder through vLLM, exposes endpoints including `/v1/systemone` and `/v1/rank`, and includes a browser playground, embedding and action caches, checkpoint hot-reloading, and scripts for fine-tuning projection heads on typed decisions or agent trajectories. The reference head can run on CPU or GPU, while the encoder is served separately; states longer than 2,048 tokens are truncated by default unless the limits are raised together. The project is released under the Apache 2.0 License, and the repository's CLM-8B weights are also released under Apache 2.0 on Hugging Face.
Ollaya is an open-source system for running decision models locally. It accepts a message, email, ticket, or other JSON state together with typed questions and returns calibrated probabilities for choices, scores, or binary decisions rather than generated text. The Ollaya daemon pulls models by name and serves them through a CLI and HTTP APIs, including TypeSafe-compatible `/v1/systemone`, `/v1/decisions`, and `/v1/models` endpoints. Its native API adds routing information and timings, while model definitions can embed reusable question sets. It supports ONNX Runtime on CPU and NVIDIA GPUs, and llama.cpp for GGUF models on CPU, CUDA, and Apple silicon. Ollaya also provides an MCP server for clients such as Claude Code, Claude Desktop, and Cursor. It publishes small ONNX graphs while obtaining the original model weights from their authors' Hugging Face repositories, pinned and verified by commit and SHA-256; it does not re-host those weights. The project is distributed under Apache-2.0, while individual models retain their own licenses, and it is available as a CLI, daemon, desktop application, and Docker image.
NetBird is an open-source, WireGuard-based overlay networking and Zero Trust Network Access platform for connecting remote users, cloud and on-premises resources, edge devices, containers, and agents through peer-to-peer encrypted tunnels. Its agents manage WireGuard connections, obtain peer candidates through ICE and STUN, exchange connection information through a signaling service, and use a relay when direct connections fail. A centralized management service maintains network state, peer addresses, access policies, and configuration updates, while the admin interface supports identity-based access control, network segmentation, SSO, MFA, device posture checks, private DNS, routes, exit nodes, SSH, reverse proxying, activity logging, and integrations such as Terraform and Ansible. NetBird can run as a hosted cloud service or be self-hosted; its repository includes the client, management, signal, and relay components, with most code licensed under BSD-3-Clause and the management, signal, and relay directories under AGPLv3.
Directify is an AI-powered directory website builder that generates a complete directory site (listings, design, and basic SEO) from a user description in about 60 seconds. It includes monetization features and positions itself as allowing creators to retain 100% of revenue. The service is offered via its website.
ClickUp is a cloud-based productivity and project management platform developed by ClickUp, Inc. It provides tools for task and project management, document collaboration, goals, time tracking, automation, and integrations, and includes optional AI-assisted features.
Chrome DevTools is a set of web authoring, debugging, and performance analysis tools built into Google Chrome and other Chromium-based browsers. Maintained by the Chromium/Chrome team at Google, it provides DOM inspection, JavaScript debugging, network monitoring, and performance profiling for web developers.
Klaviyo is a marketing automation platform and B2C customer relationship management (CRM) service that provides email, SMS, and WhatsApp messaging along with customer data, segmentation, and analytics for ecommerce businesses. It is developed by Klaviyo, Inc. and includes AI-powered features (branded K:AI Agents) to support personalization and campaign automation.
Cal.com is a scheduling software platform that provides customizable online booking and appointment management for individuals, businesses, and developers. It is developer-focused and offers an open-source codebase with options for self-hosting or using hosted plans, plus integrations and embedding tools for adding scheduling into applications.
Operational software for mining and refining workflows. Mariana OS addresses recurring process problems, gives workers operational tools, and streamlines paper-based reporting and spreadsheet data entry.
Viral Vue is an influencer growth platform that helps Amazon influencers, affiliates, and TikTok creators discover top products, automate tasks, and increase commissions using data-driven insights. The service provides product discovery and workflow automation aimed at optimizing influencer revenue.
An AI-powered scam-intelligence system that responds to scam emails as though it were a victim, eliciting information about scammers’ tactics and infrastructure for security teams, threat-intelligence feeds, and law enforcement.
Divi is a commercial WordPress theme and visual page builder developed by Elegant Themes. It provides a drag-and-drop visual editor, prebuilt layouts, and modules for designing and customizing WordPress sites without coding. Divi is Elegant Themes' flagship product and is used by a large user base.
A WordPress page-builder plugin that provides a drag-and-drop interface for creating and editing website pages without directly writing code. It supports visual front-end and back-end editing and can be extended with content elements and templates.
Thumbtack is an online marketplace operated by Thumbtack, Inc. that connects customers with local professionals for home improvement, events, lessons and other services. The company provides a website and mobile apps for searching, hiring, and managing service providers and is headquartered in San Francisco, California.
Semrush is a marketing and brand-visibility platform for SEO, AI search, PPC, social media, market research, and local SEO. It provides keyword research, competitor and market analysis, backlink analysis, rank tracking, technical site audits, traffic and market data, content creation tools, and marketing reports. The platform also tracks brand visibility in AI-generated answers and can connect Semrush data to AI assistants through Semrush MCP and its API.