@modusensus/dsh-mneme
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
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Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
DeepSeek Harness 的 TencentDB Agent Memory 移植:L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像,自动召回注入 + 记忆/对话搜索工具;复用现有 ~/.memory-tencentdb/memory-tdai 数据;附 Web UI 设置栏。
Cross-session long-term memory for AI agents — local Go service (~50MB RAM, SQLite-vec, verify-augmented) with bridges for DeepSeek Harness, Claude Code, Codex, Hermes, OpenClaw, opencode, pi, Reasonix.
Local, model-invoked hybrid RAG for DeepSeek Harness
Four-layer long-term memory for DeepSeek Harness (L0 conversation → L1 atoms → L2 scenes → L3 persona) with auto-recall and auto-capture — adapted from TencentCloud/TencentDB-Agent-Memory
Semantic vector search over a ~6,000-skill local corpus. Ships a bundled `skill-router` skill that routes any task to the most relevant vetted playbook on demand, keeping the corpus out of the per-turn model catalog.
DeepSeek Harness 插件:解析 Word/PDF 题目,支持本地智能索引/聚类/检索/抽题,生成带书写空隙的可打印试卷
Mnemosyne 永久记忆插件 - 为 DSH 提供长期记忆、向量搜索和 LLM 反思功能
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。