dsh-tool-user-memory
User preference memory for DeepSeek Harness: persisted user profile with memory_get/memory_update tools and system-prompt injection
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User preference memory for DeepSeek Harness: persisted user profile with memory_get/memory_update tools and system-prompt injection
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.
Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowledge/episodic), time-bucket compaction (day→week→month→year), associative recall (related chains) + memory_relate navigation (multi-hop BFS closure), auto recall injection on user messages (CJK bigram search, tail append), agent-decided content.
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.
A reusable DeepSeek Harness bundle for evidence-driven memory, orchestration, benchmark operations, repository audits, and plugin release workflows.
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
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.
Mnemosyne memory for DeepSeek Harness: remember / recall / forget / stats / sleep tools, embedded skill, auto-setup, optional auto-sync/prefetch, a Settings panel, and a managed memory dashboard. Data lives under ~/.dsh/mnemosyne.
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.
DSH Web 右下角系统状态悬浮窗:CPU(x%/y)、内存、磁盘占用,1 秒刷新
Deploy the ArchGraph ARGO toolchain, skills, and rules (schema, scripts, argo-init skill, global rule) with one command.