Bundle
dsh-task-planner
Task planning with experience muscle-memory for DeepSeek Harness: condition-reflex recall of past solutions + LLM-driven capability matching + auto-persisted lessons. Zero keys, zero hard-coded paths.
ztl34245881-commits4
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Task planning with experience muscle-memory for DeepSeek Harness: condition-reflex recall of past solutions + LLM-driven capability matching + auto-persisted lessons. Zero keys, zero hard-coded paths.
Solve the AI goldfish brain: a personal memory layer for DeepSeek Harness — preferences, project conventions, workflows, and error lessons, stored locally as auditable, evidence-backed Markdown/JSON. 解决 AI 金鱼脑:偏好、项目约定、工作方式与纠错教训的本地可审计记忆层。
Configurable user-confirmed lessons that help DeepSeek Harness avoid repeating mistakes.
记忆审计技能:对 AI agent 的记忆文件(MEMORY.md/LESSONS.jsonl/规则库)做静态体检,扫出越界宣称(已达 AGI/最强/100% 成功)、无证据完成声明、重复条款;报告是候选不是判决,每条带行号与原文供人工复核。适用:审计自己或他人的 agent 记忆、季度记忆体检、向团队展示记忆质量时。