Plugins

The generic New Session action opens a default-directory workspace instead of requiring a folder pick, and the workspace picker lists that workspace as a no-folder choice.

Continue Codex, Claude Code, Cursor, Grok, Pi, and ZCode work in DeepSeek Harness.

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

Tree view of a DSH conversation: editing an old message forks the thread, every version lives in one tree while the sidebar keeps a single entry, branches can be renamed, and a branch can be promoted to a session of its own.

Adds a Session without workspace entry to the DSH Workspace picker, creates isolated date-organized directories, and keeps started sessions resumable under Ungrouped.

Branch chip in the composer tool row that switches, creates, and refreshes workspace branches, commits a checked subset of changed files with a message the session's own model writes from the diff, and pushes the current branch.

Remote development launcher for DeepSeek Harness: provisions dsh on a remote host via SSH and connects from the local client, with LLM credentials proxied through a reverse tunnel so they never leave the local machine. Ships as both a standalone CLI and a dsh plugin with a session panel, /remote slash command and remote_* agent tools.

Git worktrees for DeepSeek Harness: five agent tools, a New Session picker that starts a session inside one, a sidebar tab for the uncommitted diff, a panel that unarchives or deletes archived sessions, and double-click rename. Removal refuses uncommitted or untracked changes and never removes the main worktree.

Splits New Session in the DSH web sidebar into two modes: a 日常聊天 row opens a session on the `daily` agent preset the plugin installs into the harness home (persona, web search and fetch, ask-user and compaction — no files, shell, plan mode or subagents), inside its own daily-chat workspace whose sidebar region lists only those chats, while 开始工作 keeps the shipped coding agent; the built-in New Session button is hidden and every other New Session entry point follows the active mode, which is remembered in localStorage.

Scopes system-prompt personas by workspace path or session id (exact, prefix, contains, regex), with an optional default persona for sessions nothing claimed, a 人设 tab on the conversation showing the prompt actually sent, import and export of the list, and a switch that refuses tool writes to the persona store.

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.

Merges other sessions' context into the current turn: evidence-weighted conflict resolution, retraction of claims whose premises were retracted, trust labelling that resists cross-session prompt injection, and budget-bounded packing. Ships a benchmark.

Live progress bar under the composer with a percentage and an estimated time left for the current DeepSeek Harness turn; the estimate re-anchors as the turn runs and never reads 100% until the turn ends, and the bar turns red when the turn fails or is interrupted.

Captain-led multi-agent teams that split a goal into tasks and dispatch them along an execution chain to members running in their own sub-sessions, each with its own model.

Generate images through a logged-in web ChatGPT session and download them to a local directory.

Shows a DSH session as a conversation canvas — every turn is a node, any turn forks a real child session, and a compacted context folds into one green node you can keep talking from; the left rail groups canvases by DSH workspace and renames them in step with the session titles.

Turns a plain-browser DSH session into the WhaleHarbor lite client: a standalone browser --app window with a client-style top bar and task notifications, while the full desktop installer downloads in the background (multi-source, SHA-256 verified) and an install prompt appears when ready.

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).

Session instruction anchor for DeepSeek Harness: the first step of a new session injects a freely composed instruction block as a plugin-sourced message, and it is re-anchored after a summarizing compaction, every N turns, or when metered context pressure crosses a threshold. An /anchor command re-anchors on demand without a model call; a settings page manages the paged preset library, injection order, re-anchor source and character limits.

In-process cross-session communication, peer session creation, and shared blackboard for DeepSeek Harness.

One-click Concise output style for DeepSeek Harness: results first, no filler, same work depth. Every final reply opens with a plain-language digest card (select text to copy), scoped per session, working in headless/CLI too, with /concise command, style.md overrides and a local API. Links and file paths inside the digest card render as clickable chips: URLs jump, local files open with the OS default app (v0.9+). A per-step pre-generation contract reminder (v0.11.2+) measurably fixes digest misses on audit-report/table-shaped replies.

Per-workspace MCP scoping for the DeepSeek Harness — decide which MCP servers a session may see from the directory it was opened in.

Codex-style per-session memory draft for DeepSeek Harness: one session one draft (rollout_summaries), restrained & passive (write only on explicit user request), layered disclosure (summary + registry), idempotent integration watermark. / 一会话一草稿记忆插件。

会话记忆 → OKF 知识沉淀插件:预测驱动的神经自我学习记忆系统。把会话中高价值内容按 OKF v0.1 规范沉淀为长期记忆,跨会话自动唤起。Session-to-OKF memory plugin with neuro-self-learning (predictive recall, uncertainty-driven capture, reinforcement feedback).