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Context Window Manager

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Data Science & ML
Developer Tools
API Development

Enables lossless restoration of LLM context across sessions by persisting KV cache tensors.

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Context Window Manager (CWM) acts as an MCP server designed to resolve the significant challenge of context exhaustion in large language model applications. Unlike traditional methods like summarization or Retrieval Augmented Generation (RAG) that incur information loss, CWM achieves true, lossless context restoration. It allows users to freeze an LLM's current KV cache to persistent storage, thaw it back later with perfect recall, or even clone contexts to explore alternative conversational paths. This is accomplished by leveraging vLLM's prefix caching and LMCache for tiered KV cache storage across GPU, CPU, disk, and Redis, ensuring seamless integration via the Model Context Protocol (MCP).

Key Features

01Lossless context freezing to persistent storage
02Context cloning for branching conversational exploration
03Automated tiered KV cache storage (GPU, CPU, Disk, Redis)
04Session isolation via unique cache_salt for data security
05Exact context thawing with zero information loss
060 GitHub stars

Use Cases

01Resuming long-running LLM conversations without losing history
02Managing and preserving LLM context across application sessions or interruptions
03Branching LLM interactions to explore alternative response paths