dsh-triad
定时自动化 · 用量趋势 · 技能与 MCP Server 管理 · 自动沉淀的长期记忆——一套插件装齐 DSH 四个工作台。纯插件注入,不动官方源码,一句话安装。
368 results
定时自动化 · 用量趋势 · 技能与 MCP Server 管理 · 自动沉淀的长期记忆——一套插件装齐 DSH 四个工作台。纯插件注入,不动官方源码,一句话安装。
大 engram 小 KV:外置 engram 转接层(跨会话分层记忆:global/project/session,AI 自主决策归属 + 因果链接索引 + 渐进披露 + 主动唤醒),为 DSH 实现超长上下文记忆稀疏路由,与官方 compact 共存(官方腾 KV,engram 保细节)
语织:中文优先、用户可控的 AI 写作风格记忆层 / Chinese-first style memory for AI
Cross-session long-term memory for DeepSeek Harness (dsh): durable JSON-file memory store with memory_save / memory_recall / memory_forget / memory_list model tools, installable as a dsh bundle.
Long-term memory system for DeepSeek Harness: two-phase extraction/consolidation pipeline over session logs, with summary injection and memory tools
Import Claude Code memory (CLAUDE.md) and conversation history into DeepSeek Harness as resumable sessions; /init scaffolds an AGENTS.md project memory file.
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
Native layered memory for DeepSeek Harness with persona files, workspace scope, semantic recall, and background consolidation
Agent Skill for DeepSeek Harness (dsh): bigseed.
Git-backed, reviewable long-term context for DeepSeek Harness.
Memory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.
In-process graph memory for DeepSeek Harness, backed by TriviumDB.
Persistent 5-layer memory system for DeepSeek Harness (entry injection, relevance retrieval, agent tools, and LLM-backed auto-extraction).
Galgame Doctor for DeepSeek Harness: multi-release translation memory, reviewer CSV queues, evidence plans, strict QA, and rollback.
AgentSoul for DeepSeek Harness — a local personality, identity, state and long-term memory layer. Auto-loads as a bundle plugin on every dsh startup.
DSH skill_manage: agent-managed procedural memory. Create/patch/edit/disable/delete skills in ~/.dsh/skills (user scope) or <projectRoot>/.dsh/skills (project scope), with validation, delete guards (agent-created marker, pin, path confinement), disable/enable via disable-model-invocation, and an English trigger-discipline system prompt section. Built on top of skill-filesystem's hot-reload watcher.
DSH bundle that bridges the Codebase Memory MCP code knowledge graph into DSH and can keep indexed repositories fresh with an optional debounced filesystem watcher.
Deploy the ArchGraph ARGO toolchain, skills, and rules (schema, scripts, argo-init skill, global rule) with one command.
ForeSight: a temporal-aspect long-term memory plugin for DeepSeek Harness (dsh)
DSH Web GUI 轻量记忆系统:四个大写 Markdown 文件(USER.md / PROJECT.md / WORKLOG.md / CONVENTION.md)+ 两个动作(append 流水 / distill 沉降)。零外部依赖,只用 Node 内置模块;文件可视化、可 diff、可 git 管理。
把 Codex(OpenAI Codex CLI / Desktop)的 MCP、技能、全局配置、记忆以适配 DSH 的形式迁移进 DeepSeek Harness(DSH 插件)
本地优先的 Agent 五层记忆体组件 - DSH 插件
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Antigravity IDE quota (default, flash/pro), OpenAI-compatible VLM endpoints, Gemini API, or local Ollama — model-invokable vision tool, wrapper adapters for deepseek/opencode-go, evidence memory, and a polished client panel.
An original high-key prismatic memory theme for the DeepSeek Harness web UI.