semantic-search

🧠 The memory that dreams — self-evolving memory for DeepSeek Harness: your AI remembers across sessions, consolidates in its sleep, forgets what matters less, and grows smarter over time. Fully offline & private.

DeepSeek Harness 的表情包插件——找得到、发得出、学得会，纯文本斗图、情绪主动发图、像 QQ/微信 一样发图、AI 自动学图、自定义表情包 、多种风格随意切换。

DeepSeek Harness 主体长期记忆插件：语义召回、实体图谱、状态卡、presets、可配置嵌入；任务看板已独立为 dsh-livetaskboard。

Conversation history recall for DeepSeek Harness (DSH) — literal/fuzzy/semantic retrieval of every past conversation, fully local & offline. AI never forgets what you told it.

Provide long-term memory, vector semantic search, and LLM reflection for DeepSeek Harness (DSH) with this free, MIT-licensed plugin.

DeepSeek Harness 本地 RAG 知识库插件：本地文档切片、向量化、语义检索，全程本地运行（Ollama + 纯前端/主机端）。A local-first RAG knowledge base plugin for DeepSeek Harness.

Persistent memory for DeepSeek Harness: per-conversation notes, selective injection, project memory, semantic Vault search + automatic retrieval.

DeepSeek Harness 原生 zvec-grep (zg) 代码语义搜索工具插件，支持按预设动态过滤

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，对标 Hindsight Coding Agents

该仓库暂未提供项目说明。

Semantic long-term memory for DeepSeek Harness: hindsight_retain/recall/reflect tools + auto-recall over local Hindsight daemon (pgvector + DeepSeek embeddings)

DSH 插件：模型在知识库目录执行 grep/glob 搜索时，自动补充 QMD 语义检索结果 DSH plugin: auto-supplement QMD semantic search when the model greps/globs a knowledge-base directory

Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and session context in a queryable DuckDB file, with the rule set injected into every model request — plus a full management UI in the Web Client.

DeepSeek Harness plugin for LawStar MCP (legal-data): one-click API Key connect

A dsh plugin that periodically scans reddapi.dev for new Reddit leads matching your one-sentence ICP, dedupes what you've already seen, and writes a dated markdown report. Also forwards 6 read-only Reddit search/lookup MCP tools.