Recall (Recall Wiki) is an AI-driven platform designed to help users manage information overload by turning scattered content into a structured, intelligent knowledge system. Instead of saving bookmarks or notes across multiple apps, users can store everything—articles, videos, podcasts, PDFs, and personal notes—in one centralized place where it is automatically summarized and organized.

One of Recall’s core strengths is its AI-powered summarization engine. With a single click, users can generate concise summaries of long-form content such as YouTube videos, blog posts, research papers, and podcasts. This allows users to quickly grasp key insights without consuming the entire material, saving significant time during research or learning.

Beyond summarization, Recall builds a self-organizing knowledge graph. Every piece of saved content is automatically tagged, categorized, and linked to related information, helping users discover connections between ideas. This transforms passive content consumption into active learning, as users can explore how different topics relate to each other within their personal knowledge base.

Another standout feature is its long-term memory and retention system. Recall incorporates techniques like spaced repetition to help users retain information over time. It also allows users to chat with their saved knowledge, enabling quick retrieval of insights using natural language queries.

Additionally, Recall is available across multiple platforms, including browser extensions, web apps, and mobile devices. It emphasizes privacy and data ownership, ensuring that users maintain control over their stored information while still benefiting from AI-powered organization and retrieval.

Overall, Recall acts as a “second brain,” combining AI summarization, knowledge organization, and intelligent search to help users learn faster, think clearer, and retain more information over time.

$7/month