Open-source DKV cuts KV-cache memory for local long-context LLM inference
Om_5000 · reddit · 2026-07-25
- DKV (DifferentialKV) is an open-source framework for KV-cache compression aimed at long-context local LLM inference.
- It uses anchor-based representations, joint low-rank compression, exact residual preservation, and sparse routed attention to cut memory usage.
- The project includes a CLI, MLX backend, a CUDA backend under validation, a technical report, and a fully open-source implementation.
- The author is looking for feedback on the architecture, benchmarking, and potential integrations with llama.cpp, vLLM, and SGLang.
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