2 مستودعات
Combinations of vector search and databases used to expand the effective context window of a model.
Distinct from Vector Memory Stores: Distinct from Vector Memory Stores: specifically focuses on the hierarchical combination of different storage types to extend windows.
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Headroom is an AI gateway proxy and token optimizer designed to reduce the cost and latency of large language model interactions. It functions as an intermediary that intercepts traffic between clients and providers to apply context compression, request routing, and format translation. The system differentiates itself through a Model Context Protocol server implementation that delivers compression and retrieval tools to compatible AI hosts. It employs a content-aware compression pipeline and tiered importance scoring to trim redundant data from logs and tool outputs while preserving essential
Combines vector search and a lightweight database to extend the model's effective context window.
memU is a long-term memory system for AI agents that provides a persistent knowledge base. It extracts facts and preferences from conversations into structured memories, organizing this information through a hierarchical knowledge base based on a file-system architecture of nested categories and linked resources. The system includes a multimodal data ingestion pipeline that converts audio, video, and images into standardized natural language for storage in large language model contexts. It also features a model provider abstraction layer, offering a unified interface to use interchangeable la
Enables searching from high-level categories down to raw resources using semantic matches.