Recall is an AI knowledge base where you save what matters, take notes, and build context-aware AI answers.
Features
- Unified saving for web content and resources
- Structured notes and knowledge-node management
- AI answers grounded in personal context
- Searchable and reusable knowledge capture
- Designed for long-term accumulation
- Lower information fragmentation overhead
Use Cases
- Long-term research knowledge capture
- Structured learning-note management
- Cross-topic recall and retrieval
- Knowledge-driven writing workflows
- Personal second-brain setup
- Preparation for team knowledge sharing
FAQ
Recall 2.0 combines saving, note-taking, and AI knowledge retrieval so users can build a personal knowledge base and query it with context-aware AI assistance. Core capabilities include: Unified saving for web content and resources, Structured notes and knowledge-node management, AI answers grounded in personal context.
Common scenarios include: Long-term research knowledge capture, Structured learning-note management, Cross-topic recall and retrieval.