Plugins

Fully local vector memory for DSH: local embeddings, SQLite storage, automatic recall injection, dedup with conflict detection, soft-delete recycle bin, online backup, and optional LLM extraction.

Boot-time watchdog for DSH web: detects broken plugins, disables them persistently so the UI opens, with quarantine audit, automatic probe recovery, and one-click restore.

Auto maintenance and resilience for DeepSeek Harness: startup self-diagnosis, automatic repair of missing directories, scheduled configuration backups with rotation, one-click restore, smart-start port detection, plugin-change self-check with automatic rollback, startup failure rescue, and a health watchdog that restarts a stuck-but-alive instance. Ships as a Cordis plugin plus a standalone CLI.

A self-evolving plugin for DeepSeek Harness: it observes how the agent runs, proposes improvements to its own assets via the LLM, validates each proposal inside a sandboxed trial agent, and applies only verified mutations — with a versioned ledger and automatic rollback on regression.

Combine text, vision, and image-generation APIs into one Mix model with automatic routing: text-only requests go to the chat model, user images and agent screenshots go to the vision model, follow-ups keep using the same session image, and agents can generate or edit images with session-scoped call history.

A settings-panel skin manager that auto-discovers installed Web UI skins, switches between them in one click, and maintains the profile patch automatically.

Persistent local token-usage accounting for DSH Web with automatic history discovery and compact provider/model details.

Real-time token billing for DSH web: official DeepSeek CNY pricing with automatic peak/off-peak switching, hourly price sync from the official site, visual custom model prices, and multi-currency fallback.

DSH balance and quota card showing up to 3 recently used providers. Supports DeepSeek, Moonshot, Kimi For Coding, OpenAI Codex, and OpenCode Go, with auto-discovery, quota windows, reset times, color-coded status, dragging, and automatic refresh.

The model switch for DSH: point it at any OpenAI-compatible endpoint, with curated free/cheap DeepSeek provider presets and automatic fallback when a free tier rate-limits you.

HeartFlow (心虫) AGI layer-1 discriminator gate as a DSH plugin: 47-dimension rule-based text checking (heartflow_check tool) plus automatic output supervision at tools/post-execute, fail-closed when engine missing.

Vector + graph memory backend: observe/remember/search/recall tools against a local memoria server, fusing HNSW semantic recall, FTS5 keyword search, and knowledge-graph signals via RRF ranking, with automatic turn-end persistence and per-agent namespace isolation.

Gaokao countdown blackboard: counts down the days to the gaokao on a desktop blackboard widget that collapses into a slim bar on double-click, and quizzes random knowledge cards while the agent works; open Markdown knowledge-card framework — drop .md files under subject/category folders and they load automatically, with cross-links, favorites, priority subjects and importing your own knowledge base.

Project documents and long-term memory as plain Markdown in a dedicated Obsidian vault: six mem_* tools (search, read, write, log, brief, admin), one budgeted recall injection at the first step of a session, and automatic distillation of completed turns. Obsidian does not need to be running, and the vault stays readable with the plugin uninstalled.

Web reading tools for text-only agents. Five read-only tools: web_fetch (any URL rendered as clean Markdown or plain text), web_links (inventory of a page's links), web_feed (RSS 2.0 / Atom entries), web_headers (HTTP status, response headers and redirect chain without downloading the body, HEAD with automatic GET fallback), and web_table (HTML tables extracted as structured rows with header detection and colspan/rowspan grid expansion). Transport is Node fetch plus a zero-dependency HTTP proxy implementation (CONNECT tunnelling, absolute-URI requests, NO_PROXY with suffix/wildcard/IPv4-CIDR matching, Proxy-Authorization). Zero runtime dependencies.

Feeds every dsh prompt into the local agent-feedback-loop feedback-memory pipeline — captures dissatisfaction, reviews it offline into reflections, and attaches the compiled recurrence-rule context back to the turn, never blocking a prompt. Requires the agent-feedback-loop runtime; running agent-feedback-loop install afterwards wires existing dsh profiles automatically.

Team knowledge base for offline knowledge sharing (FDE box scenario): browse, full-text search and refinement entry points; raw material is queued automatically and distilled into wiki pages by a serial bot session (Karpathy LLM Wiki pattern: immutable raw, two-step refinement, log stream, monthly lint).

Configurable send and newline keys, a composer context menu with three sources (leave it to DSH and other plugins / browser menu / plugin-styled custom menu), a quick-command panel with categorized prompt lists where each prompt can append on every send or only on the first message of a session, a create-and-move row at the bottom of each category, a prompt optimizer that rewrites the draft with a separate model call, settings-panel size memory, and automatic x-opencode-session header injection for OpenCode routes. Prompt lists live in a global ~/.dsh/quick-prompts.json that is independent of the session and the project.

Automatically retrieves time-of-use pricing data (with Beijing Time) and notifies users during peak periods to reduce costs.

给每次 AI 对话装一根 Token 保险丝：为每条用户消息设置独立总预算，统一约束输入、缓存、思考与回答。A per-conversation total-token safety fuse for DeepSeek Harness, with a whale slider and automatic reset on the next user message.

Multi-channel notifications for DeepSeek Harness: registers a send_notification tool and a settings page fanning out to NotifyX, WeCom app webhook, WeCom group robot, email (Resend), SMTP, DingTalk, Feishu robot; plus browser notifications and automatic notification on task completion and blocking events.

Explicit cross-session work state for DeepSeek Harness: goals, decisions and next steps captured automatically from host events or via a model-visible work_state tool, inspectable with /checkpoint.

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

Instance manager for DSH Web: a Mini Utility Dock panel that lists every local dsh web instance the machine can see (port, PID, uptime, live session count, resident memory, version), starts a new instance on an automatically picked free port in 3080-3129 or on a port you name, opens a row in a new tab, and stops one or all of them through that instance’s own graceful shutdown (appExit). Rows also show what each instance is serving, and read-only instance logs and session summaries are one click away. Where a peer is configured, the same panel lists and queries instances on other machines over a bearer-authenticated link. Every route is loopback-guarded, and a browser-facing action must additionally pass the host’s own browser authentication.