agent-memory

To save context across multiple chat sessions, store and organize cross-session memories in a persistent, queryable space. This preserves research insights, design decisions, and task notes by categorizing them with tags and created dates.

Cross-session memory management is the process of storing knowledge that survives beyond a single chat session. It prevents memory fragmentation and context loss by applying proactive and reactive archiving, updating, and cleaning up of organized notes.

Organize research insights and design decisions by storing them as memories with a summary and created date in the frontmatter. You can categorize them by topic and relevance using optional folders and tags for efficient later recall.

Yes, you can categorize memories by topic and relevance using optional folders and tags. The memory schema supports an optional updated status, enabling proactive and reactive management to archive, update, and clean up stored context.

The best way to prevent context loss across different chats is to use a persistent memory store. It captures task notes and research insights proactively, ensuring knowledge is archived and queryable rather than fragmented across individual sessions.

No, this cross-session memory tool operates without any external dependencies. It independently stores and manages your conversation context using a built-in memory schema featuring summaries, created dates, and tags.