dsh-price-less
54shitaimzf
DeepSeek Harness 的上下文管家:替你记住“现在在干嘛”,自动整理送进模型的上下文——该留的留、该删的删、拿不准的不动,让 AI 编程长会话不跑偏,每个 token 都花在刀刃上。
DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。
32 个项目,匹配「token」
54shitaimzf
DeepSeek Harness 的上下文管家:替你记住“现在在干嘛”,自动整理送进模型的上下文——该留的留、该删的删、拿不准的不动,让 AI 编程长会话不跑偏,每个 token 都花在刀刃上。
Ayou-Claw
A context engine for DeepSeek Harness — reversible, token-budgeted compression of the live context window.
WODE25500
DSH token-saving toolkit: proactively slim large text/JSON/CSV before they enter context (diet_text / diet_json / diet_csv / diet_estimate). Zero-dependency pure functions.
catsenior507
Assembled context for DeepSeek Harness: a context tree over the session surface with per-node assemble modes (full / key / off), agent-authored presets, and a panel that decides what the model actually sees.
yunxiyang
Solidify DSH session history step by step: rewrite tool results in place to the facts the model actually kept, so long conversations stop re-sending noise every turn. Costs tokens and time: a ~770-character contract in every request, plus one extra full-context request and round-trip per step when stepSummary is on.
Jaffe2718
System-1 decision models (Jev/Laya/Kev-class) as the governance layer for an LLM agent context lifecycle: growing association graph over session segments, relevance-gated recall with Trace-as-State ordering, and plan pre-ranking — measured in solve rate, cache hit/miss tokens, cost and latency. DSH plugin + harness-agnostic proxy.
qingyou002
DSH plugin: hands a long session over to a fresh session in the same workspace on /handoff or at a token threshold, carrying the preset, model, permissions and plan mode across; the brief is written by the session's own model and the switch waits for a step boundary instead of interrupting running work.
weifa860504-droid
固定开场语/收尾语 + 会话预算导航条(DeepSeek Harness Web 插件):输入框上方六格读数(占用/花费/时长/预算档/速率/到线约还有)、预算线口径与红底横幅、上下文构成明细、本机花费台账、交接摘要落盘 HANDOFF.md、场景与文案池。改完下一轮回复即生效。