Plugins

Replaces the composer's model and reasoning-effort selector with a two-level menu and six slider skins.

Render Mermaid fenced code blocks as native diagram cards with 8 design-system themes and adaptive layout.

Separate font slots for content, code and terminal text, plus an interface font, an interface-size stepper and an inline-code size stepper, with line-height and letter-spacing controls. Typography only — it never touches colour.

Next-prompt suggestions: after each answer it predicts your next message as grey ghost text in the composer. Tab fills it without sending, and the prediction model is selectable.

Generative UI: the model calls render_ui with a React snippet and the answer renders as an interactive card in the conversation. The snippet runs in a sandboxed iframe with an opaque origin, so it cannot read the host page, its storage or its cookies, and the frame CSP blocks the network; a message from a card is only sent after the user confirms it, and a failing card shows its error with the source behind a toggle.

Shows JeV-selected task plans, progress updates and stage summaries in DSH chat, with native translation or lightweight summaries. Requires a JeV key; the Jev service is called externally and may bill. and hierarchical serial/parallel task flows.

Desktop only. DeepSeek web chat, temporary side conversations, the API platform and conversation migration in DSH.

AOCI cognition panel for DSH: multi-workspace AOCI overview, per-repo index and governance view, MCP binding diagnosis, and guided or batch initialization. Governance, verification and guided/batch initialization require the external aoci CLI on the host; index browsing works without it.

Arknights-flavoured startup animation for the DSH Web GUI: a PRTS terminal boot, sonar scan, hologram lock-on and an operator-file splash that end in a deep-sea lockup, about 4.6 seconds, with four selectable original score presets (or sound off), skippable with a click or Esc and switchable, re-timed or replayed from Settings.

Render interactive diagrams, charts and staged learning visuals alongside native prose in DeepSeek Harness.

Long-term memory for DSH stored as plain Markdown. Real user/assistant exchanges are captured into daily session files without a model call; an LLM pass then distils them into memories that are injected into the system prompt each turn. Retrieval is local (CJK bigram + BM25) in three levels — index, summary, full text — so the model only pays for the detail it asks for. Memories carry priorities; P0 and user-written entries are never changed automatically, and forgetting marks an entry stale instead of deleting it, so the whole chain stays auditable in status.md. Six tools cover recall, write, status, extract, feedback and the skill library; when a cluster of memories is ready to become a skill, a card appears at the end of the turn, writes the SKILL.md on click, and installs it only after you approve. Learning is on by default and follows the conversation model; turning the master switch off stops the LLM entirely while capture keeps working. Failures are surfaced in the prompt and in status.md instead of being swallowed. Pure JavaScript, no third-party runtime dependencies beyond the harness packages.

Interactive character for Harness Desktop with task expressions, rice feeding, an iron-basin hat, dragging, and time-based greetings.

Plugin index inside DSH that lists over 10,000 third-party plugins checked against the dsh.bundle manifest in their package.json rather than by star count, with one-click install and a companion website.

One-click restart for the DSH desktop client, from five entries you can toggle individually: a sidebar panel, the sidebar footer, the conversation header, a Settings → General row, or the /restart slash command. The app is closed gracefully (only the main process is signalled, so the host can flush session logs) and relaunched by a detached helper that survives the shutdown; optional guards wait for running tasks or an in-progress plugin install, results land in a receipt, requests are fenced to loopback same-origin, and every switch is persisted in the profile config file. Only the four UI entries can be switched off; the slash command is always available.

Diagnoses third-party LLM API endpoints from the sidebar: a four-layer check (DNS/TCP/TLS, key and model, a real streaming conversation, then timed repeat runs) reporting time-to-first-token, output speed and success rate, with every failure attributed to the step it stalled at and the byte count that actually left the machine. 37 provider presets, no model names hardcoded.

A governed registry for MCP connectors (stdio and streamable-http): four-level fail-closed authorization, mcpServers JSON import that rejects malformed args, credential redaction at every output boundary, an agent bridge that returns an honest review verdict instead of a fake approval, and a /mcp-reg operator console plus a settings page.

Runs one-time and recurring Agent tasks in fresh DSH sessions, with natural-language schedules, visual schedule editing and session-linked history. Supports custom models, skills, pause on failure, and permission settings.

Provides three learning skills for course notes, conceptual explanations, and self-contained lecture chapters, with bundled references and course helper scripts.

Browse, preview and install public Agent Skills from inside the DSH web GUI, aggregating five sources (claudeskills.info, skillsmp.com, the awesome-claude-skills repository list, the official anthropics/skills repo, and skill packs shipped by installed DSH plugins). Skills install pinned to a commit rather than a branch name, so what you previewed is what lands; the panel reports provenance, whole-tree update checks and a trash instead of deleting. Before writing anything it validates the skill name and frontmatter against the rules the harness silently enforces, lists files that SKILL.md references but the fetch did not bring, flags partial fetches, and offers overwrite, rename or skip when a name is taken.

GitHub project search and analysis: describe your idea in one sentence and the agent searches GitHub for related projects, ranks them by relevance weighted with stars, and returns a structured card — last updated, relevance, stars, weighted score, language and a one-line description for each project. Pick a few repositories and it reads their README, dependency manifest, directory tree and key files to lay out their architecture — so you stand on the shoulders of giants before you start building.

FHL Images generation and multi-reference editing for DeepSeek Harness, with three agent tools, a pool of up to ten API-key workers, and chat-based key configuration.

Config-only DeepSeek Harness bundle that mounts the in-box MCP client bridge against morluto/rea over stdio, for reverse engineering anything with agents, from app behavior down to native binaries.

Read-only audit of the local CLI toolchain as a sidebar panel in the DSH web GUI: lists installed versions across Homebrew, npm global, pip, Rust/Bun/uv and self-updating CLIs, flags which ones have a newer release available, and shows the dependency impact for installed packages. It reports only and never runs an upgrade, so no tool on the machine is modified. The DSH plugin ships on npm as `dsh-cli-doctor`.

A memory subsystem for DeepSeek Harness: full ontological memory (event/fact/rule three-ontology) plus a goal system (goal.js) — belief values written via Bridge trigger words, goal activation scored at read time (0.25 domain + 0.35 bridge + 0.40 sim) to recover goal/value long-range associations, journal ledger, episodic archive, low-confidence decay, memory_append/read/consolidate plus linghun_goal_update/get/state closed loop. Independent of the original dsh-linghun line. 16/16 on LoCoMo-Plus.