Layered Memoryv1.2.0

Enables AI chatbots to efficiently store and retrieve extensive conversation histories using layered summaries, reducing token costs by up to 99% for L0 abstracts. Ideal for customer support bots that need to recall past interactions without incurring high computational expenses.

Supports processing large documents like legal contracts or research papers by generating hierarchical summaries (L0/L1) for quick overviews and loading full content (L2) only when detailed analysis is required. Reduces token usage by 88% for L1 layers, speeding up review workflows.

Helps AI agents in gaming or simulation environments manage extensive world-building data by storing minimal abstracts (L0) and loading detailed narratives (L2) on-demand. Prevents token overload while maintaining rich, context-aware interactions.

Facilitates efficient access to corporate knowledge bases by creating layered memory files, allowing employees to quickly scan summaries (L1) before diving into full documents (L2). Cuts down on AI processing costs and improves information retrieval speed.

Offers the layered memory system as a cloud-based service with tiered pricing based on usage volume (e.g., number of files processed or token savings). Targets businesses needing scalable memory management without upfront infrastructure costs.

Provides on-premise or custom deployments for large organizations requiring high security and integration with existing systems. Includes premium support, customization options, and compliance features for regulated industries.

Offers a free basic version for individual developers or small teams, with advanced features like automated triggers and anti-duplicate writing available in paid tiers. Drives adoption through open-source components and upsells for enhanced functionality.