Show HN: Context Warp Drive – deterministic, zero-LLM context compaction
Category: library
Tags: context-compaction, llm-agents, deterministic-compression
Score: 7.5/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 7)
Context Warp Drive is a deterministic, zero-LLM context compaction engine for long-running LLM agent sessions, folding conversation history into compact skeletons without model calls or cache-breaking rewrites. It achieves high cache-read hit rates (90%+) in production, significantly reducing cost versus truncation or summarization while preserving exact identifiers. Its innovative combination of token-economy-aware folding, recall paging, and byte-stable prefix freezing offers a novel approach to the context window problem.
Target audience: backend devs, ai engineers, agent developers
Repository: https://github.com/dogtorjonah/context-warp-drive · TypeScript · MIT · 63 stars
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