dsh-engram
Zero-LLM auto-capture and a symbolic \[ENGRAM\] index with progressive disclosure, an ESR-lite task/evidence protocol (esr_task / esr_node / esr_close / esr_link), and per-workspace usage telemetry with an offline recall benchmark (npm run eval).
零 LLM 自动捕获 + 符号化 \[ENGRAM\] 索引渐进披露，配 ESR-lite 任务/证据闭环（esr_task / esr_node / esr_close / esr_link）、按工作区的真实使用遥测与离线召回基准（npm run eval）。
How to install
dsh plugin add dsh-engram About
dsh-engram **English · 中文** Minimalist long-term memory for DeepSeek Harness, distilled from the symbolic-index and pi-esr ideas — with one goal: **save tokens**. **Zero-LLM intake** — auto-captures meaningful events from tool results by pure pattern matching (git milestones with a written -m commit message, edits to key files, repeated errors), plus an explicit engram_store. Nothing on the hot path calls a model, and pure plumbing — git push / git stash / silent commits — is deliberately never recorded (see *Auto-capture policy* below). **Symbolic index + progressive disclosure** — a compact …
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 6
- mo. downloads
- 2.0K
- Last push
- 2026-09-23
- Created
- 2026-08-18
Links
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- deepseek-harness, dsh, dsh-plugin, long-term-memory, memory, pi-esr
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