Productivity

Joplin55.8k★

Joplin is the Evernote replacement that actually respects your data. Markdown-native note-taking with notebooks, tags, to-dos, and a web clipper that grabs full pages from Chrome and Firefox. Your notes sync via Nextcloud, Dropbox, OneDrive, or Joplin's own cloud service. End-to-end encryption is built in. Desktop and mobile apps cover every platform: Windows, macOS, Linux, iOS, Android. The desktop experience is solid, with a split editor/preview, rich plugins, and custom themes. Importing from Evernote is a first-class feature, preserving formatted content, attachments, and metadata in one shot. Solo users who left Evernote (or want to) get everything they need for free. Self-hosters running Joplin Server get team sync without paying for cloud. Casual users just point it at Dropbox and never think about infrastructure. The catch: no real-time collaboration. The sync model is file-based, not operational transforms, so conflict resolution is basic. Mobile apps have historically lagged the desktop. And if you need Notion-style databases and kanban boards alongside your notes, Joplin doesn't do that.

openhuman36.0k★

openhuman wants to be your personal AI assistant, the kind that actually knows your life. It is a local-first desktop app that connects to over a hundred services, pulls in your data every few minutes, and organizes it into a memory tree stored as plain markdown on your own machine. Web search, voice, code execution, even a desktop mascot are built in. GPL-3.0 and free, with your data staying local instead of living on someone else's server. This is early beta, and it shows. The project is honest about rough edges, there is a real stack of open issues, and it is under heavy active development. Running it means Docker and some setup, and you supply your own model API keys for the actual intelligence. The local-first design is the selling point: your memory vault and connected-service data sit on your disk, not in a vendor's cloud. This is for tinkerers right now, not for teams betting workflows on it. Solo users who care about privacy and want to experiment with a personal AI that remembers things will find it fascinating. Anyone needing reliability today should wait. There is no paid tier to weigh; the cost is your own API usage and your patience with beta software. The catch is maturity. The ambition is huge and the privacy story is good, but super intelligence is marketing, not what is shipping today. Treat it as a promising experiment, not a finished product.

postiz-app34.4k★

Postiz does that as an open source app you can self-host. It supports Twitter/X, LinkedIn, Instagram, Facebook, TikTok, and more. The AI features generate post variations and suggest optimal posting times. You get a content calendar, team collaboration, and analytics. Self-hosting is free under AGPL-3.0. The cloud version at postiz.com has a free tier and paid plans; details vary but expect typical SaaS pricing for social scheduling ($15-30/mo range for individuals, more for teams). The catch: AGPL means if you modify the code and offer it as a service, you must open source your changes. The growth is impressive but the project is young, expect rough edges and breaking changes. Self-hosting requires Docker, PostgreSQL, Redis, and an LLM API key for the AI features (OpenAI, etc.) which adds cost. And honestly, if you're one person managing one account, Buffer's free tier is less work to set up.

llm_wiki16.0k★

LLM Wiki turns your documents into a structured, interlinked knowledge base using any LLM you want. Drop in PDFs, Word files, or web clips and the app runs a two-step chain-of-thought process: analyze the content, then generate wiki pages with source traceability and automatic cross-references. The knowledge graph visualization surfaces connections you didn't know existed. Built with Tauri and React, it runs as a native desktop app on macOS, Windows, and Linux. Pre-built binaries mean no build step. It works with OpenAI, Anthropic, Google, Ollama (for zero API cost), or any OpenAI-compatible endpoint. Optional vector search via embedded LanceDB adds semantic lookup. The wiki directory is Obsidian-compatible, so you can open it directly in Obsidian for manual editing. Solo researchers and writers get an AI-powered second brain that keeps all data local. Small teams sharing a knowledge base get automatic entity extraction and gap detection. The Louvain community detection algorithm finds knowledge clusters automatically. The catch: every document you ingest costs LLM tokens. Large libraries add up fast, especially with the two-step analysis. The Deep Research feature requires a paid Tavily API key. And the quality of generated pages depends entirely on which LLM you're using.

Flow.Launcher15.3k★

Flow Launcher is a keyboard-driven search bar for Windows. Hit a hotkey, type, and instantly open apps, find files, run web searches, or do quick calculations without ever touching the mouse. It's MIT licensed and completely free, with a plugin store for extending it. Under the hood it taps the Everything search engine and the Windows index for fast file search, and the plugin API (Python, C#, JavaScript, F#) lets the community add things like Spotify control, Steam game launching, and window switching. Install is trivial through the installer, Winget, Scoop, or Chocolatey. No server, no config. Anyone who used Alfred or Raycast on a Mac and missed that speed on Windows will feel right at home. It's the spiritual Windows equivalent, though not a literal swap, since those tools are macOS-only. Anyone on Windows who lives on the keyboard should install it. No team-size calculus here, it's free for everyone. Two catches. It's Windows-only, so there's nothing here for Mac or Linux users. And because plugins are community-made, quality and maintenance vary, so a plugin you rely on might go stale.

notesnook14.4k★

Notesnook is the note-taking app for people who actually care about privacy. End-to-end encrypted with XChaCha20-Poly1305 and Argon2, everything is encrypted on-device before it touches any server. Web app, desktop (Electron), and mobile (React Native) all ship for free. The encryption isn't bolted on as an afterthought. It's the foundation. Notes, notebooks, tags, attachments, everything gets encrypted client-side. The sync infrastructure handles encrypted blobs only. This makes it a credible Evernote replacement for anyone who's uncomfortable with their notes sitting in plaintext on someone else's server. Solo users and small teams who value privacy over collaboration features will love this. The editor is solid, markdown support works well, and the apps are polished. Real-time collaboration and deep integrations with other tools are where Notion or Evernote still win. For personal note-taking with actual security, Notesnook is the best option in this space. The catch: the open source version is the full product, but self-hosting the sync server isn't officially documented. You're trusting their sync infrastructure or going without sync entirely.

grist-core11.4k★

Grist is a spreadsheet-database hybrid. Rows are records, columns are typed fields, and formulas are Python. You get the layout flexibility of a spreadsheet with the structure of a relational database, without the proprietary lock-in of Airtable. Apache-licensed, free to self-host. Docker single-container deployment. It runs comfortably on a small VPS. The Python formula language is genuinely powerful. Access rules let you share specific views of data with external users or clients without exposing everything. Teams that outgrew Excel but find Airtable too restrictive or too expensive for their use case should evaluate Grist. The Python formula support is the differentiator: real computation, not just cell references. The catch: the UI is less polished than Airtable and the mobile experience is limited. It looks and feels like productivity software from 2018. The underlying data model is excellent; the surface needs work.

obsidian-copilot7.5k★

Obsidian Copilot puts an AI assistant inside Obsidian without sending your notes to a service. The plugin is AGPL-3.0 frontend. You bring your own API key for OpenAI, Anthropic, Gemini, Cohere, OpenRouter, or any OpenAI-compatible endpoint, including local models through Ollama or LM Studio. Your vault stays on your machine. Install through Obsidian's community plugin browser, paste your API key, and you have chat over your notes, vault-wide semantic search with embeddings, command palette workflows, and image understanding for screenshots in your notes. Setup is a five-minute job. Solo writers and researchers: free tier is genuinely useful with a personal API key. Plus tier ($0.99/month as of mid-2026, may vary) adds autonomous agents, time-window queries (find notes I wrote about X last month), PDF and video summarization, and web search. Teams: each user pays their own LLM costs, and Plus covers the heavier features. The catch is the AGPL label is misleading. The plugin frontend is open, but Plus features run against a proprietary backend the developer controls. That is fine as a business model, but do not pick this expecting a fully self-hostable AI stack. If you need that, look at Khoj or pair raw Obsidian with a local Ollama setup.

summarize6.5k★

Summarize does one thing: point it at a URL, YouTube video, podcast, PDF, or media file and get the gist back. It ships as a CLI and a browser side panel (Chrome and Firefox), pulls transcripts, does OCR on video slides, and streams the summary back as markdown. MIT licensed and free. Setup depends on how deep you go. The browser extension installs from the web store and can run fully on-device using Chrome's built-in Gemini Nano, no keys, no cost. The CLI needs Node 24 and an LLM provider configured, plus optional native tools (ffmpeg, yt-dlp, tesseract) if you want the video and audio features. None of it is hard, but the CLI has more moving parts than the extension. For anyone who reads and watches more than they have time for, this is a genuine time-saver and mostly free. Solo users and small teams get the same value; there is no seat model. The provider choice is where money enters: free models via OpenRouter or on-device Gemini Nano cost nothing, while OpenAI or Anthropic bill per token. The catch is that a summary is only as good as the model behind it, and the free on-device model is not the sharpest. For quick triage of an article, Gemini Nano is fine. For summarizing something you actually need to get right, you will want a stronger paid model, and then you are paying per summary.

baserow5.5k★

Baserow is a no-code database builder you can self-host. It looks like Airtable: tables, views, forms, linked records, and a clean grid interface. All the common field types. Django-powered backend, MIT-licensed. Docker Compose deployment is straightforward. The application server, Celery workers, and Postgres database all spin up together. Reasonably lightweight. The API is REST-based and documented. Premium features (more views, more storage, SAML) are on paid tiers but the free self-hosted version covers most teams. Teams replacing Airtable or looking for a self-hosted no-code database platform get a clean, functional tool here. Non-technical users can use it without training. The Airtable similarity is intentional and works well for onboarding teams. The catch: it does not have Airtable's automation builder or third-party integration depth. It is primarily a database with views, not a workflow automation tool. Import from Airtable exists but expect cleanup work.

Vikunja5.0k★

Vikunja is a self-hosted task and project manager that occupies the middle ground between Todoist's simplicity and Asana's structure. Written in Go (single binary, no PHP), with a Vue frontend. AGPLv3 source, version 2.3.0 dropped last month, and almost 14,000 commits on the main branch. The project ships at a steady pace. Self-hosting is straightforward in a way that Mautic and SuiteCRM are not. Pull the Go binary, point it at SQLite or Postgres, run it. No PHP runtime, no Apache config, no extra layers. Multiple views (lists, Kanban, Gantt, calendar), labels, subtasks, recurring tasks, attachments, and webhooks all in the box. Mobile apps and a browser extension round it out. Solo users who want their data on a Raspberry Pi or VPS: install it tomorrow. Small teams frustrated with Todoist or Trello's pricing at multiple seats: self-host and move on. Teams that need vendor support and 24/7 availability: Vikunja Cloud is the team's hosted offering and is reasonably priced. The catch: Vikunja is a task manager, not a documents-plus-projects suite like Notion or ClickUp. If you want one tool for tasks AND wiki AND databases AND chat, this isn't it. Pair it with Outline or AppFlowy if you need documentation alongside.

Radicale4.9k★

Radicale is a calendar and contacts server you run yourself. When you want your events and address book off Google or Apple but still synced across your phone, laptop, and desktop, this is the piece that does it. It speaks CalDAV and CardDAV, the standard protocols every major calendar and contacts client already supports, and it stores everything as plain files on disk. No database, no heavy stack. It is famously easy to stand up: a Python install and a small config, and you have a working server. Production hardening is where it climbs to moderate, since you will want TLS, real authentication, and a reverse proxy in front of it. But there is no database to babysit and the data is just files you can back up with anything. Radicale is GPLv3 and completely free, with no paid tier or hosted option. The trade is that you become the host. Baikal is a similar single-purpose option, and when you want calendar and contacts as part of a bigger self-hosted suite with a web UI, Nextcloud or SOGo cover more ground. Solo users and families are the sweet spot. Small teams can run it happily; larger orgs usually want the broader suite instead. The catch is scope. Radicale does calendar and contacts and nothing else, and there is no friendly web app for end users to click around in. You manage everything through a client, and uptime and backups land entirely on you.

quill3.7k★

Quill records your meetings and transcribes them entirely on your Mac, with nothing uploaded anywhere. It's a minimal menu-bar app that captures your microphone and system audio as separate tracks, then transcribes both locally, producing timestamped, speaker-tagged transcripts. This is the Quill built in Swift for macOS, not the well-known Quill.js editor, different project, same name. The whole design is private-by-default. Using Core Audio process taps and on-device ML, your meeting audio never leaves the machine, which is exactly the opposite of how Otter.ai, Fireflies, Granola, and Fathom work. Free under MIT. For anyone who takes calls on a Mac and doesn't want a SaaS vendor holding their conversations, it's a straight replacement for a paid subscription at zero cost. The catch is the boundaries it draws on purpose. It's macOS 15 and up only, English-only transcription for now, and there's no cloud sync or AI summaries by design, if you want those, this isn't trying to be that. What it does, private local transcription, it does cleanly. Match it to that job and it's excellent.

KillerPDF3.3k★

KillerPDF is a Windows PDF editor that does the things most people open Adobe Acrobat for: edit text inline, add signatures, merge and split pages, fill forms, annotate, and flatten for printing. No account, no telemetry, no internet required. GPLv3 and maintained by a solo developer, with rendering handled by PDFium so pages look right. It installs as a small self-installing EXE (around 6 MB) that registers file associations, so PDFs open straight into it. Form filling covers text inputs, checkboxes, and radio buttons. There are multiple view modes, full-text search with highlighting, outline navigation, and password-protected PDF support. For day-to-day editing on a Windows machine, it covers the common cases without a subscription. Solo users on Windows get a free replacement for the $15/month Adobe Acrobat subscription or a one-time Nitro license. Small teams save per-seat fees. Large teams with real document workflows still want something with audit trails and integrations. The catch: Windows only, no Mac or Linux builds. The UI is functional rather than polished, and for anything beyond everyday editing (advanced redaction, OCR, accessibility compliance) you still want a paid tool.

loomio2.6k★

Loomio is a collaborative decision-making tool for groups that need to agree on things asynchronously. Threads, polls, proposals with structured outcomes, and consensus signals. AGPL-3.0, with a hosted version at loomio.com if you don't want to run it yourself. Self-hosting uses the loomio-deploy repo with Docker Compose. Setup is real work: Postgres, Redis, mail server, plus the Rails app. Once running, it's stable. The project has been shipping for over a decade and integrates with Slack, Microsoft Teams, and email participation. Pick this for cooperatives, nonprofits, unions, and political groups that use formal decision processes. It is not a Slack replacement. Solo: wrong use case. Small teams that vote on things: free self-hosted or pay for the hosted plan. Large orgs: open source handles thousands of users; commercial support is available. The catch: it is niche. If your team makes decisions in Slack DMs and a quick async poll, you don't need this. Loomio's value shows up when "who has the authority to decide what" matters and you need a record of how the decision was made.

crosspaste-desktop2.3k★

CrossPaste syncs your clipboard across Mac, Windows, and Linux in real time. Copy on one machine, paste on another. Supports text, URLs, HTML, RTF, images, colors, and files. Everything stays on your local network with end-to-end encryption. No cloud server involved. Runs as a desktop app built with Kotlin and Compose Multiplatform. No server to set up. Devices discover each other automatically on the same network. Uses asymmetric encryption for security and SQLite for local storage. Smart cleanup keeps clipboard history from eating your disk. Free for everyone. No paid tier, no accounts, no telemetry. Solo developers working across multiple machines will use this daily. Teams in the same office get effortless sharing without any IT setup. The catch: LAN-only means no syncing between home and office unless you set up a VPN. If you need cloud sync across locations, this is not the tool. Look at paid options or set up Syncthing as a workaround.

knockoff2.0k★

Knockoff strips the fake brands out of Amazon. Those all-caps pseudo-companies like SZHLUX that exist only as trademark filings get filtered from your search results, leaving products from brands with an actual reputation to protect. It's a free browser extension for Chrome and Firefox built by Josh Pigford, the founder of Baremetrics. There's nothing to run. Under the hood it layers a list of roughly 5,000 verified brands with linguistic analysis: consonant density, all-caps patterns, the unpronounceable letter salad typical of trademark squatting. Your own allowlist and blocklist override everything, and a sensitivity setting controls how aggressive the filtering gets. Install it if you buy tools, electronics, or anything where warranty and support matter. Skip it if you shop on price alone; sometimes the no-name cable is fine at half the cost. The catch: heuristics miss. Mixed-case gibberish can slip through, non-English Amazon stores get English-tuned rules, and some page layouts aren't scanned at all. Treat it as a strong first filter, not a verdict.

fieldtheory-cli2.0k★

Field Theory syncs your X/Twitter bookmarks to local storage and makes them actually searchable. Every bookmark gets pulled down with full metadata, stored in ~/.ft-bookmarks, and indexed for instant search. If you've bookmarked hundreds of tweets and can never find anything, this solves that. The CLI handles the OAuth flow, syncs incrementally, and includes an AI-powered classification system that can organize bookmarks by topic. It generates a local knowledge base from your saved content. Mac-only for now, runs as a simple npm package. Power users who treat Twitter bookmarks as a research archive get the most value. If you bookmark 5 tweets a week, you don't need this. If you bookmark 50, and half of them are technical references you need to find later, Field Theory is worth the setup. The catch: Mac-only, Twitter API dependent (which means the API can break at any time), and the AI classification needs a Claude API key, which adds cost.

riddle1.8k★

riddle turns a reMarkable Paper Pro into a diary that writes back. You write with the stylus, pause, and the ink fades into the page while an AI reply writes itself back in a flowing script, stroke by stroke. No screen glow, no chat window, just handwriting talking to handwriting. It is open source under MIT. This is not a casual install. You need a reMarkable Paper Pro in developer mode with a launcher (xovi + AppLoad) installed, and riddle runs as root, stopping the vendor UI to drive the e-ink display directly. The projects companion tool, remagic, walks you through the setup, but you are still modifying a piece of hardware you paid real money for. Keep SSH access working as your escape hatch. The AI replies come from a vision model reading your handwriting as an image, either your own OpenAI-compatible API key (OpenAI, OpenRouter, Groq, any provider that speaks the format) or a local pi process if you already run one. Either way you are paying your model provider directly, not riddle. This is a hobby project for one very specific tablet model, tested on exactly one hardware revision. If you do not own a reMarkable Paper Pro, or are not comfortable running unsigned code as root on your device, this is not for you. If you do, it is one of the more delightful things you will install this year.

cafe-hass1.6k★

cafe-hass is a drag-and-drop editor for Home Assistant automations. Instead of hand-writing YAML, you build your logic as a flowchart and it transpiles down to native Home Assistant automations. If you have ever stared at indentation errors trying to get a motion sensor to do the right thing, this is the visual layer that fixes that. MIT, free, installs through HACS. Because it outputs standard Home Assistant YAML, there is no separate engine running, the automations are native once generated, which means you are not adding another always-on service to babysit the way you would with Node-RED. It lives entirely inside your self-hosted Home Assistant. Setup is trivial if you already run HACS. This is for Home Assistant users who want visual automation building without standing up Node-RED alongside it. Solo home setups, which is basically everyone here, it is free, full stop. The flip side: it only matters if you run Home Assistant, and because it compiles to YAML, deeply custom logic can still bump into Home Assistant's native automation limits. The catch is the niche. cafe-hass solves a real annoyance, and it solves it for exactly one audience: people already running Home Assistant. Outside that world it has no reason to exist. Inside it, it is one of the nicer ways to stop fighting YAML.

Mindwtr1.6k★

Mindwtr is a Getting Things Done app that keeps your data on your own device. It runs the full GTD loop, capture, clarify, organize, reflect, engage, so you can get every task and idea out of your head and then see the next concrete thing to do. It's a Tauri desktop app with a React Native mobile companion, and sync is optional and user-controlled through Dropbox, WebDAV, or your own server. The design choice that matters is local-first. Your tasks live on your device by default, and you decide if and where they sync, no vendor holding your data hostage. Optional AI features run against your own API key, so that stays your call too. It's completely free and already shipping in the Microsoft Store, App Store, Google Play, and Flathub. For a solo user or a whole team, it's a no-cost alternative to Todoist, TickTick, OmniFocus, or Things. The catch is twofold. It's AGPL-3.0, a strong copyleft license that matters if you plan to fork it into a commercial product, though for personal use it's irrelevant. And it's opinionated: it's built around GTD specifically, so if you don't work that way, its structure will fight you rather than help.

wechatpay1.4k★

wechatpay turns your exported WeChat payment history into something you can actually read. WeChat's own bill export is a raw file; this desktop app imports it and builds charts: spending by category, by merchant, by month, plus search and filtering across every transaction. Built on Electron, MIT licensed, and free. Everything runs locally, so your financial data never leaves your computer. There is nothing to operate. Download the app, import your bill file, and it processes everything offline. No account, no server, no upload. You can export the analysis back out to Excel with multiple worksheets if you want to take it further. For a personal-finance tool handling sensitive data, the local-only design is the right call. This is a personal tool with a specific audience: WeChat users in China who want to understand where their money goes. It is free, it is private, and it does one job. There is no team angle and no paywall. If you use WeChat Pay heavily and have never looked at the patterns, it is worth an afternoon. The catch is the narrow scope. It reads WeChat bills and nothing else, so it will not consolidate accounts across banks or other wallets. It is a single-source analyzer, useful precisely because it does not try to be a full finance app.

minutes1.4k★

Minutes is a local-first meeting and voice-memo memory layer. Record conversations, transcribe with whisper.cpp, identify speakers with pyannote, save everything as markdown with YAML frontmatter to `~/meetings/`. Any AI you use (Claude Code, Codex, Gemini CLI) reads your transcripts directly. MIT licensed, Rust. Install via Homebrew on macOS or Cargo anywhere. Pick a Whisper model (75MB to 3.1GB by accuracy). Optional Parakeet or Apple Speech backends if Whisper falls short. Cloud summarization is opt-in. Default is everything stays on your machine. Pick this if you record a lot of conversations and want them grep-able from your terminal. Solo: free, fast, private. Small teams sharing notes: works because the format is plain markdown in a folder. Large teams paying $18/mo per seat for Granola get richer summaries; if you don't care, you save the subscription. The catch: Granola, Otter, and Fathom invest in summary quality and live note-taking UX. Minutes gives you the substrate; you bring the AI prompts. If you want polished summaries delivered automatically, the SaaS tools win. If you want plaintext you own forever, this wins.

MouseInc.Settings1.1k★

MouseInc is a Windows mouse gesture and enhancement tool: draw a gesture with your mouse to trigger actions like closing tabs, switching windows, or scrolling. This repo is specifically the settings UI for MouseInc, built in Vue. The settings panel is in Chinese and the project is primarily used in the Chinese developer community. MouseInc itself is closed source; this open source component only covers the configuration interface, not the gesture engine. The catch: this is the settings panel for MouseInc, not the tool itself. Limited utility outside the Chinese-speaking Windows user community. If you want open source mouse gestures, this isn't a complete solution.

cue1.0k★

cue is a floating window on macOS and Windows that watches your screen, listens to your meeting audio, and suggests what to say next. It is a free, self-hosted answer to Cluely, the paid product that made this category briefly famous. GPL-3.0, bring your own API key, and it works against OpenAI, Anthropic, or Gemini. There is no server. cue runs locally, the key stays on your machine, and the project states it collects nothing. Setup is not quite zero though: the app is ad-hoc signed, so macOS blocks the first launch until you run `xattr -cr` on it, and you grant Microphone and Screen Recording before anything works. Ten minutes, not zero. Solo users are the whole audience. There is no team version, no admin console, no billing. You pay whichever model provider you point it at, and vision plus meeting-length transcription adds up faster than people expect. Budget real money if you leave it running through a full day of calls. The catch: the invisibility is one macOS window flag, `setContentProtection`, and the README is refreshingly blunt that this is best-effort rather than guaranteed. On macOS 15.4+ Apple lets some capture tools ignore it, Zoom only respects it on one specific capture setting, and a phone camera always wins. The project is equally blunt that using this during a proctored exam or job interview may break that platform's rules and, in some places, consent law. That part is on you.

pdfx862★

pdfx solves a small, annoying problem: bundling several PDFs into one file that still opens normally everywhere. It defines an open format that stores multiple PDFs inside a single, backwards-compatible PDF using an embedded manifest, and ships desktop viewers for Windows, Mac, and Linux to read and build them. Open any pdfx file in a regular PDF reader and it still works; open it in the pdfx viewer and you get the separate documents back. It is MIT-licensed and free. It is an Electron desktop app, so installing it is a download, not a project. The format itself is documented in a spec, which matters more than it sounds: a bundle-multiple-files feature is only useful if the format outlives the app, and a written spec means someone else could implement a reader if this project stalls. There is no server, no account, nothing phones home. If you regularly hand off sets of related PDFs (a contract plus its exhibits, a report plus appendices) and want one file instead of a zip, this is a clean, free way to do it. It is not trying to be Acrobat. For merging PDFs into one flat document you already have a dozen free options; pdfx is specifically for keeping them separate-but-together inside one file. The catch is adoption. The format only round-trips for people who also have a pdfx viewer; everyone else sees a normal single PDF and never knows the extras are there. As a personal organizing tool, fine. As a way to send structured bundles to clients, they need the viewer too, and most will not install it.

tab-labeler169★

Tab Labeler renames your browser tabs. You give a tab a custom label, optionally with an emoji, and it sticks across reloads so a wall of identical localhost tabs becomes readable again. It is a Manifest V3 extension for Chrome, Edge, and Brave, MIT licensed and free, with no backend, no tracking, and no sync. There is almost nothing to set up if you grab a store build; from source it is an npm install, a build, and loading the unpacked folder. Everything is stored locally in the browser. Quick presets like Done and Important plus a keyboard shortcut keep daily use fast. That is the whole tool, and it does not pretend to be more. If you live in dozens of tabs and lose track of which is which, this scratches a specific itch for free. It is not a session manager and will not group, suspend, or restore tabs, so if you need that, look at OneTab or a full session manager instead. The catch is scope: it labels tabs and nothing else. For some people that is exactly enough, and for others it is one small feature of a bigger tool they already run.