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Chervil
Agentic browser that composes live web content into personalized, cited pages from user questions
About Chervil
Chervil is an agentic browser designed for the frontier-model era, enabling users to delegate web-based tasks to an AI assistant named Sprig. Instead of returning search results, it composes a single, living page tailored to a user’s exact question, complete with inline citations and source freshness indicators. The tool maintains a private, on-device index of a user’s reading history, allowing queries like “what was that laptop review I read last month?” without requiring a new search. It supports setting ongoing goals such as monitoring price drops or tracking updates to specific pages, with changes summarized in a Trust Ledger for review or undoing. Chervil also integrates with RSS, Atom, podcasts, newsletters, blogs, YouTube channels, and subreddits, pulling content in the background and generating briefings on demand. Users can request interactive lessons or quizzes on topics, which are published as shareable links with functional widgets. The browser emphasizes transparency by highlighting where sources disagree on key facts and allows users to correct errors, which are then applied to future compositions.
Key features
- Agentic browsing with Sprig assistant
- Private on-device reading history index
- Ongoing goal tracking and change detection
- Trust Ledger for reviewing AI actions
- Feed aggregation from RSS, Atom, podcasts, and more
- Interactive lessons and quizzes with shareable links
- Inline citations and source freshness indicators
- Error correction system with dated, removable notes
Use cases
- Monitoring price drops or stock availability for products
- Recalling specific articles or reviews from past reading
- Generating daily briefings from subscribed feeds and newsletters
Pros
- Composes personalized, cited pages from live web content
- Maintains a private, on-device index of reading history for instant recall
- Supports setting and tracking ongoing goals like price monitoring
- Integrates with multiple feed types without requiring API keys
- Allows interactive lessons and quizzes with functional widgets
Cons
- Alpha software with potential instability
- Requires a frontier model to function
- Limited to Windows platform
- No cloud syncing or cross-device access
Frequently asked questions about Chervil
What is Chervil and who is it designed for?
Chervil is an agentic browser designed for the frontier-model era, enabling users to delegate web-based tasks to an AI assistant named Sprig. It is built for individuals who want to move beyond traditional search engines and instead receive personalized, living pages tailored to their specific questions and ongoing goals.
How does Chervil handle user privacy?
Chervil maintains a private, on-device index of a user’s reading history, ensuring that data stays on the user’s machine and is never synced or uploaded. Private tabs, paywalled content, and sites behind logins are excluded from indexing, and users can skip any site they choose.
Can Chervil monitor ongoing tasks like price drops or page updates?
Yes, Chervil allows users to set ongoing goals in plain language, such as monitoring price drops or tracking updates to specific pages. Changes are summarized in a Trust Ledger, and Sprig only notifies the user when something actually changes, such as a price adjustment.
Does Chervil integrate with RSS feeds, podcasts, or newsletters?
Chervil supports integration with RSS, Atom feeds, podcasts, newsletters, blogs, YouTube channels, and subreddits. It pulls content in the background and generates briefings on demand, allowing users to summarize or review feeds grouped by theme.
How does Chervil handle disagreements between sources?
Chervil highlights where sources disagree on key facts by presenting conflicting information alongside the sources that support each position. It avoids fabricating disputes and only flags disagreements when there is a material difference in facts like prices, dates, or measured figures.
Can users correct errors in Chervil’s responses?
Yes, users can correct errors by typing /correct followed by the accurate information. Sprig applies these corrections to future compositions and maintains a dated list of corrections in the Settings, which can be removed individually if needed.
Chervil traffic & engagement
getchervil.com · third-party estimates from Similarweb
Traffic trend
Last 2 months · grows by one month every month
- Aug 2026239
- Sep 2026543+127.2%
Where visitors come from
Share of visits by channel
No measurable traffic from Social, Paid Referrals or Search.
Top countries
Share of visits · estimated visits
Compared with similar tools
Automation & Agents · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.