Context Window Manager

关于

Context Window Manager (CWM) is an innovative solution designed to overcome the common challenge of context exhaustion in LLM applications. Unlike traditional methods that rely on lossy summarization or RAG, CWM directly preserves the actual KV cache tensors, ensuring true, lossless restoration of your conversation history. It allows users to freeze, thaw, clone, and resume LLM sessions exactly where they left off, making it ideal for maintaining continuity across complex or lengthy interactions without information loss. Leveraging vLLM's prefix caching and LMCache for tiered storage, CWM offers robust session isolation and seamless integration through the Model Context Protocol (MCP).

主要功能

• Lossless KV cache persistence for LLM sessions
• Clone contexts to explore alternative conversation branches
• Tiered storage management (GPU, CPU, Disk, Redis)
• 0 GitHub stars
• Freeze and thaw LLM contexts to/from persistent storage
• Session isolation with unique `cache_salt`

使用案例

• Maintaining long-running conversational AI sessions without context loss
• Debugging or re-analyzing specific points in a complex LLM interaction
• Restoring previous LLM work sessions instantly and accurately
• Branching LLM conversations to explore different outcomes or scenarios