Plugins

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.

Long-term cross-session markdown memory with an LLM-Wiki structure and a SOUL.md persona, injected at session start (by default only after the first user message and only in the active session), plus remember/recall/consolidate/forget workflows, an embedded memory skill, pack/unpack migration tooling, and an idle-time first-person recall nudge that surfaces real memories in a companion voice. Also gives the store observability and upkeep it lacked: a per-file boot-block budget that keeps the index routing table from being truncated, automatic last_access stamping so salience decay actually works, a read-only memory health dashboard (size, freshness, lint-parity checks), a declarative index compiler (pages declare summary:, one command re-lines the index), an interactive memory graph (page links plus shared tags, draggable, wheel zoom), structured queries (tag/type/salience/hot/stale filters), cross-link suggestions for pages that have no relationship yet, and a `checkup` report that ends in a prioritised action list. The boot payload was also cut by ~23% by moving operational detail into the on-demand skill. Its settings section now carries its own navigation mark (a brain half wired to a node cluster, since the shell offers no icon slot to plugins) and a feedback entry that opens this repository. Requires DSH session format v4 (official DeepSeek Harness 0.1.7+): injected messages declare the producer-owned source kind plugin:memory. v0.11 added a bilingual settings panel whose copy and sidebar label follow DSH language setting (中文「记忆」/ English "Memory"); v0.12 added the shared cross-plugin speech floor, a context-sensitive tone section and a weekly growth recap; v0.13 declares its DSH compatibility via engines.dsh (official 0.2.1-rc.5 series; older hosts are refused by the gate), adds a "Review now" button (POST /api/memory/control, action growth-now) that sends one growth recap immediately while still respecting the speech floor, panel accessibility (aria labels, status and alert roles, focus-visible rings), and the public PROACTIVE-PROTOCOL.md. v0.14 adds per-session memory: a composer chip with a dropdown (this session / workspace default), the /memory on|off|status command, and a settings-panel switch all flip the same gate — off means no boot injection, no digest/recall nudges and no last_access stamping for that session (nothing is deleted); disabledWorkspaces lets whole projects default to off, and session choices persist for 7 days. v0.15 adds a Basic soul (quick forging) card: my name / what I call you / baseline persona, saved into a managed block inside SOUL.md (the rest of the file is left untouched) and marks BOOTSTRAP complete; existing chat-forged souls are echoed from the SOUL text, and the boot block now asks the agent to remind the user to forge first when no soul exists yet.

A persistent AI companion for DSH that explores Bilibili, interacts with permission controls, and grows through evidence-backed life memories, evolving interests, simulated emotions, social relationships, and autonomous to-dos.

Tavern management panel for DeepSeek Harness: character cards, worldbooks and presets with per-session isolation, memory summaries, a character relationship web, one-click plot options and an NSFW mode. The full experience also needs the companion plugins dsh-muv-engine and dsh-muv-table, which render the status bar, the plot options and the variable tables. Card-provided status bars, variable folds and option cards now render inside a sandboxed iframe, so card styles no longer leak into the host UI.

Persona engine for DeepSeek Harness: one config.json drives the AI's self-name (per model, per tier), how it addresses you, relationship stance, character text, per-item work contracts with individual toggles, thinking-chain language, appearance and reply tone (both opt-in and per-model overridable), and long-term memory gated by human confirmation - the AI can only append proposed candidates, a human confirm line flips them into effect, and the log is physically append-only and replayable. Confirmed entries are injected as a quoted data-not-instructions block; entries tagged with a kind can instead be routed to arbitrary files on confirmation and never reach the prompt. Three prompt sections re-evaluate from disk on every assembly, so edits apply on the next step with no restart. Persona presets are shareable JSON snapshots (imports and exports SillyTavern character cards, v2/v3 read, v2 written) and deliberately never carry memory. Zero runtime dependencies, no network, no shell; any error degrades to an empty section rather than a broken session. Ships blank - installing changes nothing until you write something.

Enhances data visualization in DeepSeek Harness by automatically selecting chart types from user input and generating images for trends, comparisons, proportions, relationships, and flows.

Memory for long-form RP and companion chats: three fading layers, per-turn recall, source labels, character and world boundaries, a relationship graph, image attachments and a WebUI.

Session favorites: bookmark any conversation into a browser-style favorites panel — one-click star from session rows, folders for organization, notes, custom display names, resume session, fork into a new session, basic session stats, plus a fork-relationship graph showing how conversations derive from one another.

Interactive canvas for visualizing Agent, Subagent, Workflow, Phase, and tool relationships in DSH Web.

Human-governed cross-session memory spaces with independent source and consumer relationships, provenance, versioning, and pre-send injection review.

DeepSeek Harness (dsh) plugin embedding the fin-trace agent loop — multi-hop relationship reasoning over a financial knowledge graph, exposed as async tools (start/status/cancel)

Event-based memory for long-lived chat bots: emotion-weighted decay, three confidence levels on recall, superseding outdated facts, per-subject isolation, plus relationship, fact, chapter, skill and gap tables. Ships a CLI, an HTTP endpoint and a DSH plugin bundle.

Multi-role group chat panel for DeepSeek Harness: join as one character, chat with 2-3 AI members, route replies by addressee with probabilistic bystanders, use @ handoffs, and keep private memory/relationships, a global character library, failure diagnostics, retry of failed replies, message search, a sticky scene note, paged long-history rendering, cross-tab sync, provider-catalog models, and JSON import/export.

Persona plugin: a slowly moving 0-100 emotion meter, its own worldview, a per-turn diary, a relationship network, proactive messages, and an inner-voice line beside the cost row.

A novel-writing workspace: one folder per book, YAML/Markdown sections, an auto-wired relationship graph, consistency checks, four LLM tasks and four export formats.

Windows WeChat 4.x chat export toolchain shipped as a skill: discovers SQLCipher shards, decrypts, exports and merges them; conversion, stats, AI relationship analysis and HTML reporting delegate to the locally installed she-love-me skill. Requires Python 3.9+ for the analysis stages.

Character-chat memory layer that keeps persona, voice and relationship state separate from summaries, archives every raw message for retrieval, and ships a SillyTavern card importer plus an OpenAI-compatible gateway.

Brain-shaped relationship graph viewer for DeepSeek Harness with a Markdown knowledge-base pipeline that imports documents and builds the graph. The viewer ships demo data and needs no Python; rebuilding the graph from your own notes needs Node.js 20+ and Python 3.8+ and runs from the command line.

Review a change set as a relationship graph in the middle column, with every node clickable to the exact source line.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.

Hypatia knowledge console for the DSH Web GUI: a sidebar entry that opens shelf browsing, JSE search, record inspection, a local relationship graph, and guarded deletion in the main column.