Delinqs vs Shiori

Delinqs turns links saved by a team into a searchable library organized with AI. Each bookmark receives an AI-written summary, generated tags, and key takeaways, and users can ask questions about the team's saved material. A live feed presents articles, videos, podcasts, and tools shared by teammates. Search covers both full text and semantic matches, while browser extensions can identify an existing bookmark rather than add a duplicate. Teams can organize resources into rooms, groups, and collections, use clonable templates, and discuss links through comments, reactions, and threads. Delinqs lists Slack, RSS feeds, Zapier, IFTTT, a REST API, and an MCP server as integration or automation options. Email can be forwarded to [email protected] to capture knowledge. Extensions are available for Chrome, Firefox, Edge, and Safari; listed platforms also include Android, iOS, and web. The Free plan costs nothing for up to three users, with unlimited bookmarks and all features. Team costs $9.99 a month, billed per seat/month, and requires four or more users.

Shiori is a free, Go-based bookmark manager that can be used from the command line or as a web application. It supports adding, editing, deleting, and searching bookmarks, and can import from Pocket or Netscape Bookmark files. Export is available in Netscape Bookmark format. Where possible, it parses readable page content by default; users can also create offline webpage archives and ePub ebooks. The project documents SQLite3, PostgreSQL, and MySQL support. It is self-hosted and offered as a single binary under the MIT license, which permits use and modification. Installation options include precompiled binaries, source builds, and Docker images, with instructions for Windows, Linux, and macOS. Beta web extensions are described for Firefox and Chrome. Shiori is listed at free. Its documented API v1 is still under development, and the project warns that breaking changes may happen before release. Contributions through pull requests are welcomed, including contributions to community-provided installation methods.