Plugins

Persistent memory across DeepSeek Harness (DSH) sessions using Supermemory. A native port of the Claude Code supermemory plugin.

Standing instructions edited in the DSH settings UI and injected into the system prompt of every subsequent turn.

Read-only bridge that surfaces Claude Code's existing project memory in DSH — git-root-aware resolution, credential redaction before injection, and an on-demand recall tool. Zero runtime dependencies.

SoulFusion-style personalization: 9 response styles, custom instructions, persona cards, per-session switching, long-term memory with audit trails.

dsh (DeepSeek Harness) plugins for project-level persistent context: session archive with a mechanical index, memory consolidation (CONTEXT.md + MEMORY.md), low-frequency skill autolearn, and automatic handoff.

Project-scoped local memory with review-before-recall, source references, reversible consolidation, and a portable Cordis service; the Harness adapter provides search and settings, with optional Brain integration.

Polaris Memory: local-first project memory plugin for DeepSeek Harness. Uses per-project .dsh-memory.json; provides memory_read/recall/write/update/delete tools, /memory command and settings UI, with tiered injection (resident user profile + scene-triggered memories with P1/P2/P3 importance), semantic recall (IDF + synonym layer), and a hard-guard mechanism for bottom-line memories (detect deny-semantics -> authorize -> block AI deletion; user can confirm-override).

Memory plugin with built-in governance for DeepSeek Harness

Integrated memory and context management plugin: four-layer memory system (L2-L4), context compression/trimming/freezing, prompt orchestration, input box UI buttons, and enterprise security with role-based access control.

Approval-gated workspace instructions and memory for DeepSeek Harness

A per-workspace HindSight switch for the DeepSeek Harness composer: turn memory off for one workspace without uninstalling it anywhere else.

dsh-plugin: quality-first topic memory for dsh — a topic keeps the starting question, conclusion, impact and dependencies, not the process; local-first git-traced OKF bundle, budgeted LLM-free injection

PowerContext for DeepSeek Harness: WorkBuddy-style project memory and inspectable handoff workflows - bounded context recall before each model step, 19 pc_* tools for memory, handoff, experience and skills, with a Windows server watchdog for resident operation.

XiaoShuang desktop pet for DSH: six-layer memory, persona injection, mood-driven video avatar, manual emotion menu, and TTS replies.

Scans the whole C drive and classifies every large folder into A/B/C/D/E/P (safe cache / relocatable / junction-movable / abandoned software / config-memory redline / personal files), then deletes, moves, or redirects on demand — with strong redline protection, dry-run preview and undo. Unknown software decided by LLM fallback + human confirmation.

DSH knowledge-graph memory with a better-sidebar tab and a standalone /graph-memory/app dashboard: extracts TASK/SKILL/EVENT nodes, recalls across sessions, and ships as the npm package dsh-graphmemory.

Scoped persistent memory for DSH: memory_save/search/replace/remove/list across global, user, project and failure scopes, DSH storage-domain persistence with secret and prompt-injection scanning, session-scope search, retention cleanup, and optional session-start injection; standing context via memory_pin/memory_pins/memory_unpin.

Product-thinking companion for DeepSeek Harness: clarifies negative boundaries first, separates facts from assumptions, routes through seven product lenses, and persists confirmed decisions to project memory.

Resident-index grep for DeepSeek Harness that shadows the built-in grep/glob tools under the same names: repeated content searches hit an in-memory index ranked by access/modification frecency, and glob serves the built-in ripgrep semantics when available, falling back to the index otherwise.

Deterministic Reasoning Engine (DRE) for dsh: dre__* tools for knowledge verification (three-stage discrimination), deterministic cognition loops, constraint solving, mental models and synapse memory - strengthens information certainty.

Single-file persistent companion memory: interests, preferences, tasks, and past works summarized into the system prompt, with read/update tools.

Bridges the agent to a persistent OKF memory vault over MCP stdio: a Python server (SQLite FTS5 + Markdown) with 10 tools for searching and storing decisions, facts, learnings, conventions, profiles and sources.

Session-memory autopilot: watches DSH sessions and extracts OKF entries in-process through the harness LLM (ctx.llm, deepseek-official by default) at idle, commit, compaction and end checkpoints, storing them via the vault MCP server.

Persistent conversation memory for DeepSeek Harness: memory tab, automatic AI naming, per-AI privacy isolation, sidebar AI names, and automatic experience archiving. A static profile plugin available in every preset without disappearing on restart.