プラグイン

DeepSeek Harness のワークスペースセッションを「类别｜主题」の形式でリネームして整理し、アーカイブ・リネーム・レビューの提案をレポートします。

DSHでChatGPT/Codexサブスクリプションを利用。画像生成とWeb検索をサポート。

DSH用のファイルブラウザWebアプリ：ホストWebサーバーで配信されるReactフロントエンドとREST API、現在のセッションワークスペースで開く /dsh-agfs コマンド、browse_files モデルツールを備えています。

DeepSeek Harness のエージェント機能を MCP サーバーとして公開し、外部の MCP クライアント(例: Hermes)から Harness を操作してコーディングタスクを実行できるようにします。Hermes が頭脳、Harness が手足という構成です。

Pi 拡張機能を、エージェント単位の DeepSeek Harness プラグインとして実行できます。

DeepSeek Harness 向けの、Symphony 互換のマルチプロバイダータスクオーケストレーター兼ダッシュボード。

AI エージェント向けの、安定した編集可能な PPTX 生成——セマンティック IR を入力し、ネイティブ DrawingML を出力します。

Ship DeepSeek Harness to your own VPS: one command (or a form in DSH Settings → VPS Deploy) installs a zero-dependency login gateway, automatic HTTPS through Caddy, systemd supervision and one-click DSH upgrades.

Keeps a project's documentation in step with its decisions on DeepSeek Harness: the same append-only decision log and derived design snapshot, kept fresh in-process instead of by a hook process.

Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.

Live2D session view with realtime voice: continuous voice input, streaming TTS, subtitle translation, multi-model catalog, standalone entry / Live2D 实时语音会话视图：连续语音输入、流式 TTS、字幕翻译、多模型目录、独立入口

One-command VPS deployment for DeepSeek Harness: a zero-dependency login gateway with automatic HTTPS that proxies the native web UI, a token-protected setup wizard, and one-click DSH upgrades with automatic rollback; as a plugin it adds Settings → VPS Deploy with version, upgrade and gateway status, or the one-command setup when DSH is not yet on a VPS.

Deterministic project actions shared by people and agents: one actions.json, a right-sidebar run panel, and agent tools.

Meeting rooms for DSH sessions: joining a room grants the right to convene and the duty to attend, and a session belongs to at most one room. Convening forks each participant in with its own completed-turn context and with its tools stripped, a moderator that carries no context chooses the speakers, and every turn is appended to disk as it is spoken. After adjournment each participant receives its own minutes as a user turn and resumes work.

Clusters arXiv, first-party lab, official artifact, hardware-vendor, and opt-in X signals into versioned release evidence bundles, then gates claim-level reproduction on commands, artifacts, metrics, and verifiers.

DSH plugin: shows the DeepSeek account balance at the bottom of the sidebar, with a configuration card in settings.

Adds an Explain button to the approval card: one model call returns exactly three lines reading the pending operation, covering what it does, which files or system state it reads, writes, modifies or executes, and a risky/attention/safe verdict with a one-sentence justification. It also renders the detail area for `write` and `edit` calls, which the shipped renderer leaves blank because it only reads a `command` field.

DeepSeek Harness 向けのエンドツーエンドな TypeSafe Jev（System One 意思決定モデル）：jev_decision（choice/score/noul、並列、型付き回答＋確信度）、API キーとスイッチ用の「設定 > プラグイン」カード、会話中のすべての意思決定（回答、確信度、レイテンシ、コスト）を表示するインラインツールビュー、自動ガード（決定論的検査＋Jev のリスク／ループ検査）、ローカルの /jev ダッシュボード、オンライン検証ベンチマーク（27 のラベル付き質問で 96.3%、jev-latest で中央値約 283 ms、2026-09-21）。設計上正直であり、実際の API のみを使用してモックへのフォールバックは行いません。

Animated DSH Web pet with model-adaptive output pacing, tool-state reactions, replaceable character packs, and a bundled skill for creating or extending pet animations.

Blocks an agent from reading, searching, writing, or editing chosen files and directories, keeping their contents out of the conversation — including sensitive-word files whose text can make later provider requests fail with a 400. Rules are picked from a file/directory browser on the plugin page.

Fronts stdio MCP servers with three router tools (list_capabilities, describe_tool, call_tool) so schemas load on demand instead of riding every request; shapes every tool result through a deterministic output ladder that archives the original first (retrieve_spill reads it back); prices tool groups in tokens and can hide built-in groups per agent. Bridges to a standard-library Python router, so Python 3.9+ is required.

Simulated life context for DeepSeek Harness: every turn injects the past 24h of simulated life events from the workspace .life/ directory (sliding-window filter, session-level deduplication with delta updates, world summary) as a collapsed context notice, and the life_react tool lets the agent record feelings, thoughts and actions back into its life log for the next round of world evolution — turning a DSH agent into a roleplay character with a persistent daily life.

Compaction fallback for compaction-basic: when its LLM summary throws, comes back empty or cannot fit the window, the span is compiled deterministically with a seq pointer on every line (vendored dsh-compaction-instant compiler). Adds recall and search tools, /recall and /context commands, an idle trigger at 45% of the window and an on-disk span archive. The engine mounts as one row in the agent preset (docs/dsh-integration.md).

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.