Plugins

Inserts the full path as text when a folder is pasted into the input box, instead of trying to upload it (Windows and macOS).

Requires dsh-mnemon. Experience-library memory-space provider for dsh-mnemon, with exp_recall / exp_record / exp_feedback / exp_type tools.

Renders WorkBuddy SOUL, USER, MEMORY and topic Markdown files from an existing ~/.workbuddy/user-*-personal directory into the DeepSeek Harness system prompt, with a byte budget and a settings page; the profile's AGENTS.md loader must be disabled first.

Gives your DSH agent a long memory: it remembers past chats, people, and promises, can recall them days later, and keeps a diary linked to the original messages. Old memories fade naturally. Requires Node 22+ and a DeepSeek API key; the installer and desktop notifications are Windows-only.

Cross-session memory for DeepSeek Harness: extracts durable facts from sessions in the background, recalls relevant memories on demand, and keeps a layered summary, a persona snapshot and a commitment ledger; data stays local unless you point it at your own private Git repository.

Adds an incognito toggle for in-memory DSH conversations with temporary desktop attachment storage.

Session operations for DeepSeek Harness: really delete persisted sessions (ungrouped, temp, archive and subagent filters; guards on running, live and workspace sessions) and move sessions between workspaces (log relocation, header.cwd rewrite, workspace registry follow). Ships the shared session-store library.

Claude Code's auto memory in DeepSeek Harness: the index in every request, and tools to write and edit it

Project workspaces for multi-session collaboration, conversation handoffs, searchable chat records, and editable shared memory; automatic memory curation and handoff judgment require two background models (memoryModel and sessionManagerModel) configured in the plugin config.

A memory plugin that forgets on purpose: short-term memories expire after 48h, long-term ones are rescheduled by Ebbinghaus/SM-2 curves and rarely-used ones fall asleep instead of bloating your context. Long-term writes stop in an approval center, so the agent cannot rewrite your persona on its own.

Review every five distinct ended project sessions in DeepSeek Harness, retain sourced lessons and workflow drafts, and supply project memory to later sessions.

Mem0-backed long-term memory for DeepSeek Harness with managed Platform, self-hosted server and local OSS backends; visual settings, automatic recall (from the first turn) and capture, editable memory summary, token budgets and weekly memory hygiene that only deletes memories this plugin wrote. Captured text is redacted; the memory summary is a stable system-prompt section (plugin:dsh-mem0:profile) and recall a separate mem0:recall block appended last, so the cached prompt prefix stays stable; recall and capture have timeouts (recallTimeoutMs, addTimeoutMs). With dsh-strata installed, recall size follows its strataBudget allowance, and the optional captureStrataFolds setting (off by default) also saves its fold summaries as memories.

Local task checkpoints and bounded recovery for DSH, with optional L0–L3 hierarchical memory, dependency-aware retrieval, prerequisite-aware context, and six opt-in memory tools.

Cross-session long-term memory backed by Supermemory: pre-step semantic and chunk recall with per-session deduplication, debounced transcript upload, background LLM fact extraction (add/update/delete) with bigram and semantic deduplication, memory_search / memory_save / memory_forget tools, global or per-workspace container scoping, and a Plugins page UI for API key storage, memory CRUD, recall preview and activity log. Requires a Supermemory API key (a free monthly quota is available), and conversation excerpts are uploaded to Supermemory's cloud.

Turns a session into a folder in the left sidebar: fork it into an independent branch — full copy, a compressed digest of its memory, or only the opening request — and browse the branches as a tree.

Renders the seven-layer SQLite store of meow-memory as a live 3D star map, with draggable nodes, layer rings and a click-through detail panel. Requires the meow-memory plugin and Node 22.5+.

把 DeepSeek 養進 Instagram — a DSH plugin that gives an agent an IG life

Self-narrative memory in five budgeted segments (800 chars, not a full context): a first-person note the model writes to itself, a profile of you aggregated from approved facts, environment facts kept separate from who you are, heat-ranked conclusions, and habits. Every injected fact is traceable to a fact id and can be retired; the profile can be edited by hand, and self-notes stay plain lines you can clear. Facts fade by use and time without ever changing their credibility. Preference-like lines you say are auto-detected as candidates (never auto-approved), with conflicts kept side by side. Recall over past conversations with citations, an incremental index that only decodes newly appended frames, a pointer-required warm layer, a doctor that says which part is broken, a heartbeat proving injection is alive, and export/import so the whole thing moves to another machine.

Layered global and workspace memory for DeepSeek Harness, with a web panel to browse entries and tune distillation and consolidation, an index kept in context with records loaded on demand, and a per-session choice of layer.

Unified long-term memory hub: captures turns into L0 evidence, distills in the background into L1 facts / L2 scenes / L3 profile (depth configurable), recalls via hybrid BM25+fuzzy search, ships 13 memory_* tools, traceable lineage back to source turns, optional Hindsight backend, and a built-in memory panel with three entry points.

Long-term memory for dsh with defense-in-depth hardening. Two tiers (project `.dsh-memory/` and user `$DSH_HOME/memory/`), each a plain hand-editable JSON file with bounded entries and tags. Writes are atomic (unique temp file + rename, previous revision kept in a bounded history/) and serialized across processes by a per-tier lock with stale reclaim; a disk-revision check refuses lost updates instead of silently overwriting another writer. Memory text is wrapped in explicit untrusted-data boundaries (forged wrappers stripped on write) to blunt prompt injection from remembered content, load-time validation rejects out-of-bounds stores, and symlink escapes out of the tier directory are refused with MEMORY_STORE_ESCAPE. No content-heuristic filtering and no confirmation step, so headless auto-consolidation stays intact. Install: dsh plugin --profile web add github:RocoFish/deepseek-memory.

Lingshu (灵枢) is a brain-inspired persistent memory, persona and growth system for AI coding agents: pure Python standard library, zero dependencies, local-first, requires Python 3.9+. Hippocampus/cortex layered memory with forgetting curves, dream consolidation, fuzzy associative recall, emotion system, persona drift protection, knowledge base, self-authored skills, and a local web panel. Ships as a DSH bundled skill; the separately installable cordis startup-injector plugin auto-injects sessions only when Lingshu is installed at ~/.dsh/skills/lingshu (or brainPy is configured) and Python 3 is available; the optional update check contacts GitHub/Gitee.

Chat memory that archives messages by time and recalls by stated period, widening twice before admitting it forgot.

Claude Code-compatible persistent memory: the host injects the MEMORY.md index at session start, the model maintains memory files with plain read/write/edit tools, and a Settings page lists saved memories. Same on-disk format as Claude Code; claude mode shares the exact memory directory.