Plugins

Native DSH /side conversation tabs with a clean transcript and inherited context, hidden from the main session list using independent Session forks and the official chat UI, with timestamps, token usage, streaming and the command menu. Extracted from dsh-better-sidebar 0.29.0 (MIT); do not enable it alongside dsh-better-sidebar's own /side entry — the two command entries conflict, so stop one before using the other. Requires Windows DSH Desktop 0.2.1-rc.5 and dsh-delete-session for confirmed permanent cleanup.

Adds a prompt-refine button to the DSH composer and, when auto mode is on, refines the prompt before the agent starts by rewriting the text with recent session context through a side-channel model call, asks on the native question card when the rewrite cannot be decided, reports each stage as a command card in the chat, and keeps the original text when analysis fails.

A durable, user-owned session charter for DeepSeek Harness, designed to survive context compaction.

Loop guard for DeepSeek Harness: detects and stops repeated output mid-stream, prunes and compacts context, then automatically resumes the task without a restart.

DeepSeek Harness (DSH) plugin: edit a finalized assistant reply and its reasoning/thinking chain right in the conversation. A pencil action opens a single-message editor; edits become a plugin message projection, so the model and the UI only ever see your

dsh plugin: prefix-cache health guard. Separates prefix rewrites from ordinary context growth using the three disjoint usage buckets, and estimates the tokens re-billed at full price.

DSH-native skill intelligence cockpit: task decomposition, cross-domain multi-skill composition, skill authoring, local recommendations and safety scans for DeepSeek Harness.

FileKit — 在右侧「工作区文件」面板中右键操作、拖拽移动、编辑、复制引用与可恢复删除（.dsh-trash 回收站），变更自动告知 Agent；另含独立 FileKit 文件管理页与设置页。 · Workspace file operations for the DeepSeek Harness right sidebar: context menus, drag-to-move, editor, recoverable trash, Agent change notices, a FileKit

See what a conversation feeds the model, what your rules keep out, and what one click would change.

Conversation lock for the DeepSeek Harness sidebar: every conversation row gets a lock button, and a locked conversation blurs only the conversation area behind a password box while the sidebar stays usable. Re-locks on window blur, tab hide, page hide, or whenever the open conversation changes, and never pauses a running turn - the veil reports that background work continues. The password digest, lock flags, and preferences live in <DSH_HOME>/session-lock/state.json behind two same-origin routes guarded by a custom header, so clearing the page localStorage unlocks nothing; PBKDF2-SHA256 with a random salt, and a 30-second input lockout after five wrong attempts. Recovery is opt-in per machine: a Windows login password (enabled only after a real .NET PrincipalContext ValidateCredentials check against the local machine, so Microsoft accounts and passwordless machines keep it off) and a cooling period chosen while creating or changing the password (1/6/24/72/168 hours; expiry clears the password and releases every lock, and the correct password cancels the countdown). A settings section covers status, changing the password, lock new conversations, hiding locked titles, a three-position archive-restore policy (all / locked only / off, switching needs the password), lock everything, and unlock everything. Dialogs use the native dialog top layer, so a dialog opened from Settings is never covered by it. Requires DSH 0.2.0-rc.1 or newer; no build step.

Wire up Feishu/Lark from a four-step wizard that discovers your chats instead of asking for a 32-character id, creates the app by scan, and runs a nine-item live self-test that names the exact scope to enable when a check fails. It drives a companion MCP server of 25 tools, including ones that move local files into a chat and pull a message's attachments back to disk. The MCP server is a separate install: take dsh-feishu-mcp-<version>.mjs from the dsh-feishu Releases (or npx github:yinsang0910-star/dsh-feishu-mcp); until it is in place the self-test reports MCP as not mounted and no mcp__feishu__* tool exists.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Long-conversation memory for DeepSeek Harness (DSH): keeps settled decisions, user corrections and exact numbers, with their conditions and sources, available across compaction and restarts in 100-1000+ turn sessions; one small budgeted evidence block per model step, with enabled skill rules re-applied in the same block.

Take over context compaction on both the manual and the automatic path, each runnable by a compaction model (falling back to a second model, or used directly) or by a mechanical fold that builds the summary card locally with no model call; the fold goes through the same official compaction transaction, so the replaced events stay in the append-only session log under their sequence numbers. It adapts code from dsh-compact-saviour and takes the mechanical fold from dsh-ledger-compact (both MIT) — install it instead of dsh-compact-saviour, not alongside it.

Session board orb: live thinking and tool progress per session, task duration, context usage and 12h/30d usage stats; click through to any session.

Saves tokens in DeepSeek Harness sessions by reading any file by line range or symbol mention instead of whole, and by bounding oversized tool results while keeping a recovery path. Pruning happens at the source, not after content reaches the context. Measured 43.9% fewer prompt tokens in a modelled 30-step session.

Long-term memory kept as plain Markdown plus git: each session opens with a generated memory-context block assembled from a global store and per-project books (role card, user profile, current focus, routing table, recent logs), the plugin records which memory files the agent read and reminds it to extract conclusions while the day's log is unextracted, personas live in roles/<role>/SOUL.md role cards, and it ships a seven-tab settings page in the sidebar plus four skills. Requires Python 3.10+.

Static-context audit for a DSH home: a six-layer baseline (rules, memory, skills, tool surface, sessions, KB), broken-path checks for a markdown capability map, memory duplicate/stale/over-limit reports, SKILL.md description compression, and tool-surface plus cold-start static-context estimates recovered from session logs. Four read-only DSH tools; writes require --apply and are backed up first. Requires Python 3.10+ on the host (stdlib only; all four tools shell out to the bundled CLI).

Replaces the summarizing context compactor with a handoff note the model writes itself and a fresh window that keeps only the system prompt, the note, and the current turn.

Prompt enhancement for the DSH Web GUI composer: pick a style before generating (logic-only, structured, or concise), or supply or clear a custom system prompt in settings; a sparkle button or Shift+Tab rewrites the current draft through the harness model, streams the result into an inline preview (original vs enhanced) with a live thinking timer, fills it back with one click, keeps an undo bar, and offers settings for model route, temperature, length limits, context awareness, undo-bar behavior and shortcuts.

Native generation-time Mixture-of-Agents: every turn, reference models run the same session context in parallel as pre-run drafts and one aggregator executes with full tooling; config-as-model recipes, F mirror / R trimmed views, enforced subagent gating (dual-shape session indexing), derived per-recipe vision (vision refs relay image reads to text-only aggregators), tiered cadence with separate steering and patrol rosters plus frozen reuse between beats, degeneration guard dropping degenerate reference output, anonymized model face (failure notices carry no provider identity), and cache-friendly guidance placement (the rehearsal record is pinned where it was produced instead of appended to every request, so the cached prefix covers it and each step pays only for what was added since - on by default across every cadence).

Three things for DSH plugin development: reload the plugins whose files changed, restart the client when a reload cannot apply a change, and let the model trigger a reload itself. Reload uses DSH's own path, so untouched plugins keep running. Restart starts outside the client, so it completes even when the client is what gets replaced, and refuses while a session or job runs. Lightweight: no parameters, no added context, buttons off by default.

Adds handoff, context-decision and context-diagnose skills, self-contained context_pressure/context_history tools (peak tokens, compaction stats), per-route realWindows with windowSource evidence, routeKey, handoffAt forced-handoff line, and slash commands.

Rewrites the composer draft into a precise prompt with a configurable model and a fully editable rewriting instruction; reads the content behind @file, @folder and @session references for context and keeps the reference chips intact; offers a one-click undo that restores the text you wrote yourself, and places the button in either composer toolbar with an adjustable colour and size.