TooManyTabs
Ever tried having 20 tabs or more open in Chrome? You can’t even see the favicon of the tabs, not to mention the tab titles. If that happens to you, TooManyTabs is a must-have extension that manages your tabs, reduces your tab overflow, and saves your sanity. Suspend idle tabs and save memory, organize with custom columns. Remember recently closed tabs (within TMT). With TMT you're going to have a clear preview of each tab's content (fills up gradually as you use), be able to sort tabs by creation time, domain or title, and suspend idle tabs and save memory, organize with custom columns.
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DejaVu
DejaVu is a private screen-memory and desktop-search app for Mac. When enabled, it keeps compressed frames when the screen changes and reads their text on the device, so you can find information you previously saw by searching for a word, number or phrase. Search results show the app, window and time; a timeline lets you browse by hour, and My Day summarizes activity by app and project. Screen memory stays on the Mac, is encrypted and requires Touch ID to review. You can pause capture, exclude apps and sites, and export memory in open formats. The free edition keeps three days of memory on the main display. Pro adds unlimited memory, all displays, browser extensions, export, smart collections and Ask your memory, which answers on-device. DejaVu requires macOS 26 Tahoe or later and runs on Apple silicon and Intel Macs; written AI answers require Apple Intelligence on Apple silicon.
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Nativ
Nativ is a 100% open-source macOS app for running OpenAI models locally on Apple Silicon, putting frontier intelligence directly on your desk with no accounts or cloud required. It provides a clean chat interface with streaming responses, Markdown, code highlighting, image input, and per-message performance metrics, with every response generated locally. A curated model library includes open models from teams such as Google, Cohere, and Liquid AI, while Nativ recommends models suited to the hardware in your Mac. Built on MLX-VLM and tuned for M-series unified memory and Metal, it runs models without wrappers or translation layers. Live telemetry exposes tokens per second, memory pressure, thermal state, and time to first token so users can see what is actually happening during inference. Nativ supports language, vision, video, code, and audio workflows, including chatting with LLMs, captioning images, summarizing video, autocompleting code, transcribing audio, and generating speech.
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Osaurus
Osaurus is a native AI harness for macOS that lets users run open models entirely on their Mac, connect cloud models when greater capability is needed, and carry shared memory across them. Built in Swift for Apple Silicon, it works fully offline with local models through Ollama, MLX, or LM Studio, keeping conversations, code, files, settings, agents, skills, and provider keys on the device unless the user explicitly chooses a cloud provider. A system-wide chat overlay provides quick access from any app, while separate agents can be created for coding, research, file organization, and other jobs, each with its own prompt, history, and memory. Osaurus distills past conversations into relevant facts, loads packaged skills when tasks require them, and gives agents scoped access to working folders, file search, Git, and other tools. Agents can run code in an isolated sandbox, delegate work to subagents, operate on schedules, respond to folder changes, use voice input, and generate images.
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