writer-memory

Character memory tracking stores characters, relationships, scenes, world rules, and themes in a versioned JSON format with auto-backups. This supports cross-scene continuity for long-form writing and collaborative storytelling across multiple AI sessions.

Maintaining story continuity across collaborators is done by storing structured narrative context in a git-friendly JSON format with auto-backups. This typed memory schema with versioning and validation supports tracking scenes and characters without losing consistency.

Initialize a memory project by running the init command to create a structured JSON file, then populate characters, worlds, and scenes. Use query commands to retrieve context, generate synopses, and plan scenes across writing sessions.

Yes, the memory schema includes export utilities supporting synopsis generation and scene planning. These tools query and retrieve stored narrative context for use across different writing projects and collaborative storytelling workflows.

Yes, the memory manager modules support Korean storytelling workflows alongside standard narrative tracking. The system stores structured memory in a versioned JSON format, enabling cross-scene continuity regardless of the writing language used.

JSON-based narrative context relies on CLI-like commands for querying and updates, requiring strict schema validation. While auto-backups and versioning mitigate data loss, large-scale collaborative storytelling may face synchronization challenges without proper git-friendly workflows.