Plugins

Adds image_generate and image_library tools that pick reference images from four local libraries (characters, outfits, scenes, props), expand situation, expression, pose, shot and light keyword presets into the prompt, and call the 65535 async task API or any OpenAI-compatible images API, showing the result in the conversation; a settings page manages the libraries and turns an uploaded image or a text description into a three-view reference sheet. With dsh-daily-schedule installed, an image without a specified outfit uses what the character is wearing in the current schedule entry.

Expert-mode agent preset for DeepSeek Harness (v0.9.2, npm dsh-expert-mode, bilingual EN/ZH): a chief coordinator plus 17 domain-expert subagents with automatic task delegation. Features: taskboard scheduler (file-system task state machine pending/ready/running/done/failed, dependency DAG, atomic claim, retry, crash recovery), quality gates (5-stage pipeline for high-risk tasks: requirement clarity, implementation, verification, independent review, integration, with 2-round rework limit), Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (~28% token savings), expert persistence, inter-expert file message bus (direct P2P comm, zero coordinator relay), cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance, backend, DevOps, database, QA, security.

Scheduled cron tasks, background automation and agent execution for DeepSeek Harness.

Host-resident cron engine with a web jobs board and a timer_agent tool: fires real agent sessions on schedule, continuing a pinned session for context or starting fresh ones in a chosen project workspace.

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.

Host-level proactive wake-ups for DeepSeek Harness: the model schedules its own alarms (once, recurring interval, or cron, with optional random jitter), cold sessions are woken on time by session resume, model-initiated follow-ups are gated by quiet hours and a daily delivery budget, silent wake turns end with proactive_reclaim and fold out of model context as tombstones, declared schedule files glob-sync JSON schedules into host alarms idempotently, min_idle_seconds defers wakes until the destination session quiets down, and a web panel (settings section plus per-session tab, SSE live refresh) manages alarms and wake history — the heartbeat engine for AI companions and roleplay characters with their own daily routines and world evolution.

Scheduled tasks: run a prompt on cron schedules, each run opens a new agent session to do the work, with workspace binding, manual run, session auto-naming, and a fullscreen task management page.

Per-project scheduled prompts run as fresh headless agent sessions, with one-time, interval, and cron schedules plus durable run history.

Session bridge for DeepSeek Harness: drive other real DSH sessions straight from your prompt — create top-level sessions in any workspace, message or steer any session, wait for replies and stream them segment-by-segment (chain-of-thought included), resume offline sessions, find sessions across workspaces, run a background watchdog that monitors and schedules a main task (nudge when stalled, correct drift, cancel when stuck), and archive sessions with one command.

Cross-session memory plugin for DSH (v0.6.1, npm @asherliner/dsh-memory-connect): auto-extraction, SQLite FTS5 indexing, RRF semantic recall injected into the system prompt every turn, scheduled maintenance, LLM-powered consolidation via ctx.llm, context explosion prevention, and global Soul identity via ~/.dsh/soul.md. v0.5.0 added temporal context graph (valid_from/valid_until/supersedes, append-only corrections via reviseMemory), trust model (recalled history injected as untrusted reference, current instruction always wins), turn-end summarization. v0.6.0 added local semantic embeddings (BAAI/bge-small-zh-v1.5 via embed_server.py, cosine + RRF fusion with FTS5, no cloud calls, ~232 msgs/sec on CPU). v0.6.1 fixed ~ expansion in path config. Zero-config install.

Adds Delete to the DSH sidebar session menu, moving the session — and its whole descendant tree when it has subagents — into a recycle bin that relocates the directory on disk (an atomic rename, never a copy), plus a sidebar bin panel with title and full-text search, workspace filter, sorting, per-session chat-log viewer, restore and permanent delete. Deleting also clears the workspace slot, the pin, the archive flag and the projection-cache row, so a restore puts the session back at its original sidebar position; permanent deletion also clears the schedules bound to it and removes the emptied project directory. Verified on DeepSeek Harness 0.2.1-rc.2, with a whole-profile residue scan coming back clean.

Host-side unattended job scheduler: runs one-shot agent tasks or shell commands on cron, interval, or one-time schedules, with persisted at-most-once dispatch state, overlap/misfire policies, and bounded run history.

Cron scheduler with a sidebar UI: run shell, Python or Node scripts, skills, or agent tasks on a schedule, with push notifications and session archiving.

Office workspace & session dashboard: a floating 6-column sprite panel visualizing workspaces, sessions, token usage and subagents, plus Agent Mail and an office log tab. Feishu/Lark views (message feed, meeting schedules, transcripts) additionally require the `@larksuite/cli` tool installed and authenticated separately.

Bridges DeepSeek Harness to LINE: runs its own signed webhook server, sets up a Cloudflare Tunnel (quick URL or an API-token tunnel), keeps the LINE webhook endpoint pointed at the current tunnel, and gives each LINE user a separate session with a chosen persona, plus optional scheduled check-ins. Requires a LINE Messaging API channel (Channel ID and Channel Secret); only allow-listed LINE users, or users approved from the pending queue, can talk to the bot.

Data asset orchestration engine that chains suite tools into preset pipelines (masking, cleaning, inventory, packaging, attestation, AI dataset health check, government inspection, circulation assessment), with incremental and scheduled processing.

Paper-style sticky notes, paper notes, calendar, drawing and a reusable prompt library inside DSH

Scheduled reminders and delayed send for DSH: /later delivers what you type as yourself at the time you pick, while the timer panel (or /schedule) posts a reminder row — even with the page closed. (scheduled send / reminders / delayed send)

Off-peak message scheduler: turn on valley mode and the composer queues your messages until DeepSeek off-peak hours (half price), then auto-injects them into the session and gets replies. Native-look composer, hotkeys (Enter queue / ⌘+Enter send now / Esc exit), per-session toggle persisted across restarts.

Owner workbench for independently connected family WeChat assistants, per-member project and tool permissions, scheduled services and delivery status; API acceptance does not confirm receipt.

Browse Xiaoheihe posts on a schedule, with optional persona-based comments and replies, QR login, and browsing history.

WeChat personal assistant that manages Apple Calendar and Reminders with confirmation before writes and sends scheduled WeChat messages, for macOS 14+ on Apple Silicon.

Edge breathing border showing DeepSeek peak/valley hours, with flowing light and scheduled push reminders.

Proactive multi-model scheduling plugin: multi-source signal intake with dedup and urgency ranking, a four-way execute/defer/dismiss/ask-user decision engine, DAG plan generation with parallel model execution, quality reflection with automatic retry and model switch, long-term memory for task patterns and lessons, and strategy evolution via genetic algorithms with sandboxed evaluation and canary rollout.