dsh-tool-writing
面向 DeepSeek Harness 的长篇网络小说写文引擎插件:独立 DeepSeek key 分流并行生成(起草/润色/同步/子代理四通道)、多书隔离(一个工作区=一本书)、弹性合同体系(故事承诺书/追读力台账/五段任务书/硬关卡)、章后八项体检(含节奏信号与 AI 味检查)、起点+番茄双平台审稿、发书前敏感自查、语义检索(概念索引)与饲料区书库管理。
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面向 DeepSeek Harness 的长篇网络小说写文引擎插件:独立 DeepSeek key 分流并行生成(起草/润色/同步/子代理四通道)、多书隔离(一个工作区=一本书)、弹性合同体系(故事承诺书/追读力台账/五段任务书/硬关卡)、章后八项体检(含节奏信号与 AI 味检查)、起点+番茄双平台审稿、发书前敏感自查、语义检索(概念索引)与饲料区书库管理。
Cross-session plaintext memory plugin for the DeepSeek Harness — deterministic BM25 recall, human-owned, no embeddings
AiFP Cognitive Memory — persistent memory MCP server for AI assistants. Chinese-first retrieval with causal chains, Hebbian associations and graph diffusion. 记忆感知系统
DSH 跨会话记忆插件 | Cross-session memory plugin: YAML 存储、embedding 语义检索、标题优先注入、两级自动注入
Local-first RAG knowledge tools for DSH: kb_query / kb_ingest / kb_crawl / kb_related, backed by the kb-rag Python pipeline (Ollama bge-m3 + ChromaDB + SiYuan). Zero API cost, data never leaves your machine.
Cross-session long-term memory for DeepSeek Harness: dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.
dsh bundle: local semantic index over workspace documents (MD/PDF/DOCX/TXT) with FTS5 BM25 + local embedding hybrid retrieval, hit citations with line numbers, and incremental updates.
为 AI Agent 提供短期记忆缓存、长期知识沉淀、语义检索与持久化存储的统一记忆管理层
Semantic long-term memory for DeepSeek Harness: embedding-based retrieval over a persistent cross-session memory store, with model-facing tools, proactive per-question recall, automatic conversation summarization, and auto-selected embedding provider (apiKey present → API, otherwise local).
Jina AI tools for DeepSeek Harness: search (incl. arxiv/ssrn academic domains), read, screenshot, embed, rerank, classify, pdf, expand, datetime, primer — with a settings-page API key UI.
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
DeepSeek Harness (DSH) plugin: a self-contained semantic memory (RAG) over all your chat sessions. Indexes messages live via session/event, stores embeddings in one local JSON file, and exposes a rag_search tool.
Long-term cross-session memory plugin for DeepSeek Harness (L5 + L7 layers): SQLite-backed, FTS5 + optional embedding recall, append-only audit log, single-bundle dual-face packaging.
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
DSH 本地向量记忆插件:本地 embedding 向量化 + SQLite 存储 + RRF 混合检索自动召回;DeepSeek 云端 deepseek-v4-pro 会话结束自动提取;支持取代链、置顶记忆、软删除回收站与定时备份。
RAG 检索增强生成:向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents(38k★ MIT)启发。
Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and sprint context in a queryable DuckDB file, rules enforced on every model request, with a full management UI in the Web Client
Serena dashboard lens for DeepSeek Harness — m4/m5 tabs embedding Serena's tool-call stream inside the GUI