Plugins

Token-efficient persona runtime for DeepSeek Harness with local catgirl rendering and progressive tool-schema disclosure.

Personalization for the agent: a Web UI panel (about-you, reply style & tone, traits for headings/lists and emoji, output language, custom instructions) and `/soul` commands, with nickname/occupation/bio/style/traits/language compiled into a system prompt and re-injected into active sessions. Exposes `soulConfig` for other plugins and a `set_persona` tool the agent can call.

Register locally-defined custom agents as callable subagents in dsh: the main conversation invokes any agent by name via use_agent, each running as a real dsh subagent with its own persona. Supports breakpoint resume for interrupted runs.

Two-way WeChat bridge for DeepSeek Harness via the iLink protocol: bind your personal WeChat with a QR scan and chat with a local DSH agent from the chat box (text, images, voice-to-text, files); a web settings panel handles binding/start/stop/status, project-session binding continues the conversation on desktop, proactive wechat_notify pushes include throttling, and the pure-Node daemon runs on Windows/macOS/Linux.

Character consistency toolkit: personality profile cards, appearance-weight stats, and behavioral-drift detection for long-form fiction.

DSH plugin: edit the system prompt (deployment persona) from the Settings page, with live preview.

Adds /pua to steer the agent to try another approach and verify results before claiming completion, with 15 company styles, persona modes, global and per-conversation settings, and an optional loop that continues until a verification command passes, the iteration limit is reached, or the user cancels.

Expert manager: manage ntd-format experts and expert teams (plugin.json + Agent MD + skill sets), browse and install from a built-in market of 50+ experts, and run tasks in an expert persona via /expert-<name> without consuming model directory tokens.

Named subagent roster: manage role entries (model, persona, tool filter, depth, background mode) from a hot-reloaded settings page; the model picks one with list_subagents and dispatches by id with delegate — foreground, background, or continuable.

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.

Per-host personalization for DSH: custom instructions, local long-term memory, and reply-tone presets.

DeepTutor tutoring bridge: deep explanations, self-test questions, learning-path planning, personal knowledge-base search (RAG), and note archiving via deeptutor_run / deeptutor_kb / deeptutor_note tools.

Local SAG personal knowledge base plugin for DeepSeek Harness

3D printing & additive manufacturing plugin for DeepSeek Harness: parametric STL generation, calibration G-code, STL/G-code analysis, toolpath rendering and PrusaSlicer bridge, plus 5 skills and a concise persona optimized for local models.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

DSH Desktop enhancement plugin: task-execution discipline plus a real relationship, per session. Discipline: adaptive protocol tiers (short for chat / full for tasks / lean for reasoning models), intent routing across Q&A, lookup, discussion, diagnosis and execution (diagnosis never fixes unasked), evidence recency (verify timestamps and causality before citing logs or old errors), real tool-result verification (failed or unknown results are never reported as done), self-healing on repeated failures with a cross-session reflection loop, compaction awareness that re-anchors state after the host condenses history, and document-capability awareness (probe for document tools and constrain accordingly: with tools, read before you write and read back before claiming done; without them, state the boundary instead of hand-parsing binary office files). Persona: distill named characters from chat logs, novels, scripts and character-setting documents, with tone, catchphrases and reply length anchored to real material statistics; long-term memory with automatic expiry for time-bound facts, corrections captured as style rules, approved replies pinned as corpus, two-way feedback that converges with use, memory star map, and persona card export/import. Constraints are injected only when relevant, so idle chat pays no extra tokens.

Settings panel for global and per-workspace AGENTS.md, with identity and persona injection, runtime-context toggle, and result notifications.

Layered long-term memory MCP server: raw turns → task fragments → daily summaries → topic indexes, local MiniLM 384-dim embeddings or OpenAI-compatible API backend, semantic + Jaccard-fallback search, one-command DSH plugin install.

Skill studio for DeepSeek Harness: visualize every agent skill (name, description, source, nested flag, model/user invocation), view and edit the full SKILL.md body, toggle model/user invocation, and mine DSH session logs to extract reusable personal skills that the agent auto-loads — from the web settings panel and via skillmgr_* / skillmgr_extract_* tools.

Windows minimal agent preset for DeepSeek Harness: fixed one-line persona, three tools, no runtime context.

Bot Mode for DeepSeek Harness: a roster of named bots with avatars, personas and per-bot chats, each backed by one durable continuable subagent session that keeps memory across turns.

Hana-style assistant manager for DSH: visual preset management (cards, yuan personalities, avatar cropping) plus a full Hana memory stack (rolling summaries, layered compilation, SQLite fact store, deep memory).

Per-call model, provider, persona, and toolFilter overrides for subagent delegation, with @preset: references and provider/model composite ids.

Publishes a lesson into the DSH conversation: the dependency spine, the question and the vault's drawings, drawn in the vault's own palette.