opencode-session-journal

To preserve AI session memory for seamless continuity, you can save and load complete session contexts to a persistent journal. This enables quick handoffs and personalization by indexing knowledge across dates and sessions.

Yes, you can load previous AI assistant sessions by date, ID, or list to resume work with full context. This mechanism applies across dates and sessions by saving, loading, and indexing journals.

Yes, you need Python3, jq, and claude installed. The Skill enforces deterministic journaling via scripts that use these dependencies to write and update the knowledge graph without exposing sensitive data.

The best way to maintain context for a handoff is using deterministic journaling scripts to save the complete session context to a persistent journal. Knowledge indexing and user profiling signals enable faster handoffs and better personalization.

Knowledge indexing and user profiling in a session journal work by applying deterministic scripts that write and update a knowledge graph based on saved session contexts. This enables faster handoffs and better personalization across conversations.

AI session memory becomes fragmented across different conversations due to context loss between sessions. This Skill solves the problem by providing a disciplined memory foundation to save and load complete session contexts to a persistent journal.