메모리 및 지식 · DeepSeek Harness 플러그인 — 4 페이지

Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.

Cross-session project memory for DeepSeek Harness: seven-layer SQLite memory, first-turn snapshot injection, per-message keyword hits, memory_remember/search/project tools, automatic reflection with reflection-fold UI, and idle-triggered dream consolidation (peak-hour suppressed).

DeepSeek Harness plugin: recall sent-but-unread text messages before the model reads them.

Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness — a capability seam (ctx.memory service + local SQLite provider + memory tool + frozen snapshot injection), not another memory warehouse

DSH Web内目前最无感的消息撤回、重编辑插件，原版体验，兼容性强，功能简单可开关，设置丰富，现代化轻量ui框架。The most seamless message recall & re-edit plugin for DSH Web — native experience, strong compatibility, simple toggles, rich settings, modern lightweight UI. DSH Web で最もシームレスなメッセージ撤回・再編集プラグイン——ネイティブ体験、高い互換性、シンプルなトグル、充実した設定、モダンで軽量な UI。

Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with you—no need to start over.

Tavern mode for dsh web — SillyTavern character cards, prompt presets, lorebooks, personas and regex on the dsh agent runtime.

DocsMint for DeepSeek Harness: a left-sidebar panel and four agent tools over the DocsMint REST API or the DocsMint MCP server (OAuth for DocsMint Cloud, API key for self-hosted).

Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.

Visual conversation map for DeepSeek Harness: an infinite whiteboard where every session is a card — drag to arrange, double-click to start a chat in place, draw an edge to fork a new session with injected context. Built for ADHD-friendly spatial memory. · DSH 可视化对话地图：会话即卡片，双击即聊，连线分叉带上下文的新对话。

QQ × B站 × 桌宠一体化插件：统一设置窗口、小鲸鱼余额挂件、106 段透明动画桌宠、QQ 消息卡与双向脱敏记忆。

Local image-code knowledge library with native macOS and local Web clients, plus MCP and Skill for Pi, DeepSeek Harness (dsh), Claude, Codex, Cursor, and Wisp.

DeepSeek Harness plugin that wires DSH agents to OpenContext for durable memory + retrieval-augmented context.

Proactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。

Git-backed long-term memory and evolution plugin for DeepSeek Harness

Morning Star harness dsh (DeepSeek Harness) cordis function plugin — in-process engine gates (status/dispatch/lease) with hard refusal channels.

Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel

Approval memory — once/always/reject decisions remembered per tool (GAP-1359)

Jingling (鲸灵) for DeepSeek Harness: a privacy-first local AI companion with reviewable memory, a restricted preset, and an optional desktop-pet sidecar.

A local Git-backed long-term memory bundle for DeepSeek Harness

Personal assistant plugin for deepseek-harness that organizes commitments from conversations, tracks plans across sessions, and delivers low-interruption reminders.

A persistent agent team for long-running collaboration in DeepSeek Harness

Session Workbench for DeepSeek Harness: session-library full-text search + recall + conversation-view management. 会话工作台：会话库（全文搜索历史会话，一键以 @引用 召回给 AI）+ 会话视图（管理会话标签栏 显示/隐藏 + 排序）（session search / recall / view management / 会话视图）.

DeepSeek Harness (dsh) plugin: 12 testing skills (requirement analysis, test strategy, case writing/review, E2E/API automation, exploratory, regression, bug analysis, flaky/suite-reliability governance, pipeline orchestration, project QA memory) + shared core knowledge base — a full QA pipeline as agent skills.