Plugins

Adds an icon button to the composer that optimizes the current draft prompt through the active model.

Local-memory lifecycle for the official Hindsight plugin on DSH desktop: one-click start/stop of the hindsight-embed daemon, auto-start on boot, stop on exit, hides the uv.exe console window, and installs the vault/models to another drive.

Prompt optimizer for the DSH composer. One click runs rewrite then self-review rounds over the draft with per-round diff preview, and a rejected result rides into the next round as a prior attempt. Five fixed re-run directions (more concise / more detailed / more technical / restructure / stronger acceptance); a 164-role library ships in the package, roles recommended by draft or picked explicitly; matched installed skills fold into the meta-prompt under exact-name constraints; results save to a prompt library (browse, insert, re-optimize, two-step delete); mechanical acceptance criteria carry an executable check-command template; output language follows the agent UI language.

DSH plugin: mark messages as invalid so an operator annotation digest steers what a compaction checkpoint absorbs. Cache-preserving: appends after the cached prefix, never rewrites history.

Save reusable prompt snippets with categories and {{placeholders}}; manage them with /snippet commands (add, list, rm, optimize) and insert into the composer from a draggable dock panel, with one-click AI refinement through the default model.

Redraw the left-hand workspace sidebar to add color highlighting, sorting, status indicators, and system notifications. You can also switch back to the original sidebar, which likewise implements some of these features.

Adds an Optimize prompt control next to the composer send button that rewrites the draft into a structured prompt (plain, sections, or role-task-goal) streamed from the session model, with Use, Undo, Copy and Close.

Prompt optimizer for the composer: a button in the tool row rewrites your draft through a model channel you already configured, streaming into a panel that floats above the composer without taking up layout. Your draft changes only when you click Accept — and Accept is refused while the answer is still streaming, so a half-finished reply can never be written back. It asks first when the draft carries @ references or attachments, which a whole-draft replace would flatten into plain text. No global keyboard shortcuts, and no API key ever reaches the browser: the host half makes the call.

Per-session control of which skills and MCP tools/servers the model can see (built-in tools are untouched): default shows everything, auto asks the model each turn what to keep, smart picks from your saved groups, or tick groups by hand, with a switcher under the composer and fail-open to full visibility on any error. The default state is auto, which adds one model call per turn (the session model unless judgeModel is set).

Prompt optimizer inside the DSH composer. One click rewrites the current draft with the model you already selected: it classifies the scenario (paper / agent task / daily question / English writing), returns a compact three-check diagnosis panel (is acceptance testable? missing information or capability? raising depth or widening scope?), and lets you pin a scenario manually. The draft is replaced in place, with no extra chat turn.

Agent enhancements for DeepSeek Harness Desktop: prompt history, one-click optimize with undo, next-prompt prediction, conversation and tracked-file restore, model bill, context details with compact, Auto routing, and per-provider DeepSeek balance.

Rewrites the composer draft into a tighter prompt in one click and restores the exact original in another, running on Harness's own models by default or any OpenAI-compatible endpoint, with an editable polishing prompt.

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.

Adds a ✦ button below the DSH composer — and on the new-conversation screen — that rewrites the current draft into a more complete prompt with a single call to the configured default model, keeping the original intent and language, and replaces the draft in place without sending it.

A prompt optimizer in the composer input tool row: pick a category and a template, then ✨ rewrites the draft in place with one-click undo. Pick from the Basic, Context and Image categories; you can cancel a run, and it shows elapsed time and token usage. Ships 15 templates covering task-instruction rewriting, step planning, safety-research framing, system-prompt role cards, and text-to-image / image-to-image prompts; context templates read the recent turns of the session for coreference resolution. Calls go through the host model service, and a settings section exposes the model and the budgets. Output guards check that user-written constraints survive, warning rather than auto-retrying. Adapted for dsh 0.1.7 and 0.2.

Refine prompts with guided questions and editable previews using Harness AI or native Codex across Web, desktop and TUI, applying drafts only after user confirmation.

One-button prompt optimizer: rewrites the composer draft via a configurable strategy, with an editable template, few-shot examples, pinned models and reasoning effort.

Rewrites the draft in the DSH composer into a clearer, more executable prompt through the harness's own LLM routes, showing an original/optimized comparison before you adopt it.

Reasoning-effort gear presets for third-party models: 16 vendor/model presets with per-mode custom wire values, written into dsh-llm-pi-ai with pre-write validation and per-rule rejection; per-model switching between OpenAI Chat Completions, OpenAI Responses and Anthropic Messages with automatic route regrouping; plus a composer Optimize button and a settings section that rewrite the input text with a model you pick.

DSH 运行时看护层：在 agent 生命周期的关键点做防护，保证任何停止都有明确原因，不让异常静默变成正常结束。

Multi-agent task decomposition, DAG workflow orchestration, and prompt caching optimizer for DeepSeek Harness.

Allows deepseek harness to think dynamically like human,automatically judge the difficulty of tasks with suitable thinking chain.

Adds a composer button that optimizes the current prompt or designs the next one from the current session and project context.

Improve the current chat draft before sending with a confirm-before-apply comparison.