Plugins

AgentRQ task manager for DeepSeek Harness: create, manage, and auto-pull AgentRQ tasks without leaving the harness

Connects DeepSeek Harness to Postiz over MCP: list connected social media channels, fetch per-platform posting rules, and schedule, draft, or publish posts to X, LinkedIn, Instagram, Facebook, Threads, TikTok, YouTube, Reddit, Bluesky, Mastodon, Discord, Slack, Telegram and more; adds a postiz workflow skill.

DeepSeek Harness plugin that connects the agent to Postiz over MCP: list connected channels, fetch platform posting rules, and schedule, draft, or publish social media posts across 28+ platforms.

Lowtide (as in low tide) runs task batches automatically in off-peak hours — a highly customizable task framework with four execution strategies, L1–L3 semi/full-auto adjudication, in-place task editing and preflight checks, built on the Cordis microkernel, one build for both desktop and web.

lowtide: human-adjudicated off-peak batch task pipeline for dsh (peak/valley pricing aware)

Off-peak batch runner for DeepSeek Harness: users define tasks during busy hours — prompt, strategy, priority, workspace, locked files — and release them by hand; the plugin then runs the batch automatically inside user-defined off-peak windows. Each run passes five preflight checks (workspace, git HEAD, locked-file sha256, window fit, daily budget), supports four execution strategies (single / iterative / sampling / review) and three autonomy levels (L1 per-task, L2 batch, L3 full-auto), and closes the loop with a morning report containing diffs, actual spend and savings from a daily ledger aligned with official peak/valley pricing.

Bridges the MemOS memory service over MCP: the agent gets add/search/update/delete memory, multi-cube sharing, and a memory scheduler as mcp__memos__* tools.

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

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.

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.

Always-on AI teammate: hand it a recurring task in one sentence; dry-run rehearsal by default, snapshot before every real run, one-click rollback, CNY budget circuit-breaker, per-run cost transparency.

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.

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.

Proactive scheduling: an adaptive heartbeat plus a value network (urgency, relevance, interruption cost) decides when the agent should speak unprompted.

Host-level proactive wake-ups for DeepSeek Harness: let the model schedule its own alarms (once / interval / cron with random jitter), wake cold sessions on time, gate model-initiated follow-ups with quiet hours and a daily budget, and reclaim silent wake

Scheduled tasks panel for managing DSH agent and system crontabs with natural language input and execution logs.

Cron task scheduler for DSH: on schedule, automatically creates a new session and injects your prompt as its first message, with task history and manual run/stop controls. Also runs KNJ workflows: pick files directly (stored as persistent snapshots, re-handed to the workflow on every fire) or reference them by path. Its panel is registered in the settings page (settings.section), so no separate menu plugin is required.

Windows-only auto-updater for DSH Desktop: checks the official update feed, downloads and SHA-512 verifies the installer, then force-closes the app via a one-shot Task Scheduler job and installs silently (automatically by default), and after restart reinstalls profile plugins and restores their pre-update settings from a snapshot.

Local model scheduler for DSH on Windows 10/11 with DSH Desktop 0.2.x: a bundled console for engine/model import, VRAM estimation, load/close, and an OpenAI-compatible gateway.

Registers one tool, report_health, that answers whether a scheduled report job actually ran. It judges by side effects rather than exit codes: how old the newest report folder is, how many documents it holds, whether more than one report category is present, whether the audit ledger was synced recently, and how long ago the last log was written. Exits nothing, calls no model, and reads only local paths you can override by config or environment variable.

Keep this session working until a wall-clock deadline: one button in the composer picks 22:30, +90m, or tomorrow 07:00, and after every finished turn the plugin posts one continuation message so the session keeps working; nothing is posted once the deadline passes. Stops early on a round cap (400), three consecutive failed turns, or four consecutive rounds that called no tool; a manual stop button is always there. The last part of the watch switches to wrap-up wording, sized to at most half the remaining time so a short watch is not entirely wrap-up. Armings persist to $DSH_HOME/nightwatch.json via an atomic write and are re-adopted after a restart. No slash command is registered by default (enableCommand turns one on); the continuation message carries source.kind cordis-host-runner, not user.

Task Center for the DeepSeek Harness Web GUI: create and manage Host-wide scheduled and webhook tasks from the right sidebar, delivered into a new session in any workspace or into an existing session, plus a 任务管理 agent preset.