プラグイン

小説執筆のガードレール:20個の novel_* ツールがファクト台帳の一貫性、段階および章のゲート、決定論的メトリクスによる機械監査、提案のみのリビジョンを強制し、右パネルのワークベンチが閲覧、TTS 再生、研磨、校正、継続性チェック、バッチ起草を扱い、バイパス エンジンが内部ステップを主対話の外で実行します。

composerでのワンクリックプロンプト強化。下書きを構造化プロンプト（役割と目標、実行可能な手順、出力形式、受け入れ基準、エッジケース）へ書き換え、変更前/後プレビュー、差し戻し、undoを提供します。意図は決して変更せず、要件を捏造しません。

Think行とツール呼び出し行を赤い失敗件数付きのフローティング要約ピルに折りたたみ、ライターに親しみやすいチャット表示を実現します。

MCP経由でDSHからAItelierパイプラインを実行：39ツール（読み取り22、書き込み17）で多段階SkillFlowパイプラインを生成、実行、検査、編集、エクスポート、インポート。ステップはDSHセッションではなくAItelierで実行され、run_idでポーリングされ、エンジン強制のチェックポイントで停止してanswer_checkpointで応答し、ステップごとのトレースとステップ出力を後に読み取れるよう残します。add_provider / map_model / edit_roleは個々のロールをローカルまたは安価なエンドポイントに向けます。aitelier-pipelinesスキルをバンドル。

セッション実行の分析: ステップ数、ツール呼び出し、失敗、繰り返し操作、token 使用量、検証シグナルを text/Markdown/JSON レポートとして出力。

DeepSeek Harness の明示的なセッション間ワーク状態: ホストイベントまたはモデル可視の work_state ツールから自動的に取得される目標、決定、次の手順。/checkpoint で確認可能。

DSH WebクライアントにReadingタブを追加し、プロセスのステップとライブ推論をソース順に表示し、成功したターンを最終回答に折りたたみ、元のタブ、コンポーザー、ツールをそのまま保持します。

1 つのセッションの実行を、ターン、LLM ステップ、ツール、スキル、サブエージェント、コード変更、テストのインタラクティブな DAG として描画する Graph タブを追加します。ライブステータス、再試行の集約、クリティカルパス、トラジェクトリとの連携を備えます。

メモリプロトコル強制プラグイン: opencode-memory MCP サーバーをブリッジし、ツール呼び出し前に memory_weave を強制し、ターンを自動取り込み、エージェント手順にメモリコンテキストを注入します。

Model-autonomous context compaction for DeepSeek Harness: a mind_map tool surveys the agent context surface (stable seq ids, roles, token weights, clear-boundary markers, the clear-mind playbook), a clear_mind tool replaces a chosen conversation-history span with a model-written checkpoint through the native compaction transaction, call and result pairs self-collapse into one-line tombstones, and a proactive reminder nudges the model when the context grows long or a turn runs too many steps.

A GitHub-connected visual git manager for DeepSeek Harness: guided GitHub-Flow steps, commit graph with PR/CI badges, one-click GitHub login, PR and issue management, and structured git tools for the agent. Renamed from gitcompass in 2.0.0.

Adds a sidebar tab that folds a session into user turns (input, tool steps, output) with one-click jump back into the conversation.

Always-on ADHD-friendly output shaping: one system-prompt section makes replies action-first with numbered steps and concrete time estimates; adhd_on / adhd_off / adhd_status tools persist the mode across restarts.

Session manager panel under Settings → Plugins: list all sessions with title, cwd, agent preset, updated time, turns and steps, expand a row to view message history, delete non-running sessions, and export a session as JSON or Markdown via a browser Blob URL.

Feishu/Lark channel that drives DeepSeek Harness agents from chats: streaming rich cards with live thinking and tool steps, per-turn cost metering at DeepSeek peak/off-peak rates, one-tap approval cards, model-gated image intake, and QR onboarding without a public endpoint.

Publishes a project plan the agent writes: ordered steps in a panel docked to the right of the frame, and the framework graph as an auto-laid-out diagram in its own centre tab, downloadable as SVG or PNG. Charts are rebuilt from the session log, so they survive restart and resume.

ターン、モデルのステップ、ツール呼び出しを yiTrace へエクスポートするテレメトリバックエンド。

A newspaper-style front page for a session you left running, as a Conversation View tab beside Chat and Trajectory: a per-turn timeline (duration, steps, tools, tokens, outcome), file churn counted per file, where the wall clock went and how much of it was the model rather than tools, which single turn ate the spend, failures nobody retried quoted with their failing command, and a context-pressure gauge measured against the routed model's own declared capacity. The briefing is folded from the durable session log and never generated by a model, so it costs no tokens, cannot hallucinate, and is byte-identical for the same log and clock; it appends nothing to the session and reaches no model, and it reports a pending approval without ever answering it. Pages are offered only when they have content, and the tab refreshes itself on turn settle and on a two-speed poll backed by a metadata-only tail probe.

Windows-native computer use for DeepSeek Harness: two tools drive and read any desktop app. One batch call runs find, click, type, key, read, wait and screenshot steps in a single engine pass, so a task whose steps are known up front costs one model round trip; reading returns window text rather than an image, and input and capture prefer UI Automation patterns, Win32 messages and offscreen PrintWindow so the user's focus and pointer stay untouched.

Notification sounds for dsh-tui: distinct tones for conversation done / user question, focused vs unfocused terminal, 9 selectable sound groups, master volume 0-150% in 5% steps, settings section, zh/en

Plan-and-execute orchestration over ReactLoopAgent — turns a goal into reviewable steps with a web UI plan card.

Code management panel for the DSH web UI that handles everyday Git in five steps: ① env check auto-detects git/gh/ssh and one-click installs missing tools (gh mirror download sources speed up installs, Windows included) with check-update; ② SSH ed25519 key generation / connection tests plus one-click 443 config to bypass blocked port 22, with the Gitee personal token configured here; ③ repo status, side-by-side diffs, stage/commit, branch switching, history with revert/cherry-pick, one-click repo creation and push, auto-ignoring >100MB files; ④ lists all repos of your account for one-click clone; ⑤ five-step npm publish wizard. GitHub / Gitee dual-platform, with the UI switching between 中文 and English live.

Periodic prompt injection for the DeepSeek Harness Web GUI: every N model invocations (conversation turns and tool-call steps both count) the plugin injects a user-configured prompt as a model-visible user message; the first injection happens at conversat

First-run health check for DeepSeek Harness: verifies Node/pnpm/dsh toolchain, home, profile, API key (names only, never values), workspace writability and npm registry, then prints actionable next steps — CLI plus an agent-callable quickstart tool, dsh-firstrun/v1 reports, zero runtime deps.