Context Warp Drive – deterministic, zero-LLM context compaction

Context Warp Drive is an open-source tool that compresses long AI agent conversations without using extra AI model calls, solving the common problem of agents running out of context window space. It uses a purely computational, deterministic method to shrink older conversation turns into compact summaries while preserving exact identifiers like file paths and IDs, achieving 90%+ cache reuse rates and cutting costs by up to 72% compared to traditional summarization approaches.