CachyLLama: llama.cpp fork with persistent SSD-backed KV caching for local agent workflows

If you run local agentic coding harnesses (Aider, Claude Code, etc.), prompt evaluation usually eats up most of your execution time. Every turn re-evaluates thousands of identical prefix tokens_system prompts, tool schemas, and conversation history. CachyLLama is a llama.cpp fork built specifically to solve this bottleneck on mid-tier hardware and APUs where generation speeds are fine, but prompt processing is brutal.Key FeaturesPersistent On-Disk KV Cach