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Stash saves your open tabs as a shareable snapshot link, inline or short. Local-first. No accounts. No tracking. Most session managers treat your tabs like a list. Stash treats them like a workspace. If you're a researcher mid-literature review, an engineer debugging across six docs, or a founder tracking a competitive landscape - your open tabs aren't clutter. They're your current state of mind. The problem is that browser sessions are fragile, unshareable, and invisible to your AI tools. Stash is a local-first, zero-knowledge tab manager built for knowledge workers who need to move fast without losing context. Share your full context as one link. Bundle your active tab session into a single URL and send it to a collaborator, drop it in a Notion doc, or paste it in a thread: the full session is encoded in the link itself, no account required. Stash sessions, restore them later. Step away without losing your place. Save your tab group around a project, a research thread, or a problem you'll return to, and bring it back exactly as you left it. Zero-knowledge by default. Stash runs entirely in your browser. Share links encode your session directly in the URL; nothing is stored. For long sessions, optional short links use a privacy-minimal server that stores only the encoded payload with a fixed expiry. No accounts, no telemetry. Native to AI workflows. Stash exposes your session as an MCP server that agents and LLM tools can query directly, and exports sessions in AI-friendly formats; use it as a context layer for research agents and prompts. Deep work demands deep context. Stash keeps yours intact.
Aug 24, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.