dsh-engram: DeepSeek Harness Ultra-Minimal Long-Term Memory Plugin (Goal: Token Savings)

The dsh-engram plugin for DeepSeek Harness (DSH) provides a minimal long-term memory system designed to reduce context bloat in agent development by conserving tokens. Its core features include zero-LLM automatic capture (based on pattern matching and redaction of sensitive data), symbolic indexing with progressive disclosure (supporting BM25 recall, drill-down tools, and repeated-failure wake-up), and the ESR (Evidence Closed-Loop) protocol for lightweight task management, including session TODO offloading, command repair closed loops, and automatic override. By strictly limiting context length, the tool is suitable for developers who need strict token-usage control and structured task management.