Plugins

DSH 插件：让智能体有一份自己的记忆库——一张只追加的 CSV，稳定读写，闲时能整理。每个智能体每轮自动拿到标签字典（systemPrompt.section，函数值），由模型判断该不该记、每维取什么值，并提供 memory_write / memory_recall 两个工具。界面上有条目表格、维度筛选、搜索导出，以及备份 / 恢复 / 合并。零依赖，全部落本地文件。安装时会探测各智能体的 MEMORY.md 并写入一段受控说明（标记块、幂等、块外一个字节不碰、挂载自愈）。

Draws workspaces and conversations as a 3D star map in the stock panel slot: eight layouts (spiral, rings, armillary sphere, solar system, double helix, irregular web, cubic lattice, radial tree), eight colour themes, a memory-library map of instruction files, skills and skill calls, star-to-star fly-throughs, and a 中/EN switch. Links are drawn only where a workspace owns a conversation or one conversation descends from another.

Superpowers skills for the DeepSeek Harness (dsh): a full engineering methodology served through dsh's own filesystem skill provider, with an always-on bootstrap.

Routes DeepSeek Harness model API requests through a system, custom or SOCKS proxy; requests outside the configured domains stay direct.

Backup, restore and machine-migration for DSH: packs skills (which live outside ~/.dsh, in ~/.agents/skills), plugin manifests, core config, memories, todos and optionally sessions into a tar.gz with a sha256 sidecar, then imports it on another machine as a three-way merge against a baseline, listing per-file differences instead of overwriting changes made there. Credentials never enter an archive (filename deny-list of 27 names plus 7 private-key suffixes plus a content gate, enforced again on the import side), every import writes a pre-restore snapshot first, and an archive can be uploaded to any WebDAV server and pulled back on the new machine. Also includes scheduled backups, a read-only viewer for individual files, and an in-panel cloud card; no npm runtime dependencies (packing uses the system tar).

DeepSeek Harness plugin: restart without losing work. It waits until every conversation is idle, restarts the host, and picks the interrupted work back up instead of dying with it; where a supervisor already manages the host it asks that supervisor, and it never starts a second host next to a running one. It also fixes a common one: stale login cookies pile up on every launch until the request header overflows and the host will not start; the plugin clears them before each restart. Every restart is preceded by a snapshot of the configuration and the installed plugins - 2 are kept by default, up to 10 are allowed, and old or incomplete ones are pruned. That snapshot is never applied automatically: the plugin does not watch the host and does not restore anything on its own; it is only there for you to look at, or to roll back by hand. When the work is done it counts down and powers the machine off, so nobody has to stay up at night. It works on the Windows desktop client, and on a hosted dsh web instance - verified on WSL with systemd; Windows-hosted web, WSL without systemd, and native Linux are untested.

Model-linked characters and a shared world for DSH, with separate editable personas and memories, optional AI diaries and sleep consolidation, Chinese/English controls, task-aware desktop pets, themes and usage statistics; updates preserve user customizations. Supports Windows, Linux and macOS; see the guide for each system's installation requirements. Diaries and consolidation consume tokens. Before installing or updating, we recommend closing visible desktop pets and bubbles; open files may cause installation to fail. Codex and OpenAI API account queries have been user-validated; other sources await user validation and feedback.

Adds one system-prompt section that keeps private words out of formal deliverables and, every few of them, leaves a short note at the end.

Drop-in successor to the now-deleted corrinehu/dsh-workbuddy-connect, keeping its package name, config row id and provider ids so an existing install upgrades in place. Also fixes the 400/11128 channel check by neutralising the DSH identity sentences and scrubbing the product name from system messages, and reads the real Windows client and bundled CLI versions instead of a compiled constant, unlike the functy and community forks. Verified 2026-10-21 on Windows, WorkBuddy 5.8.3, DSH 0.2.1-rc.2.

Claude Design System theme for DeepSeek Harness: warm-grey surfaces and a clay accent, refined composer, sidebar, code blocks and Markdown, localized edit/write cards with workspace-relative paths, and an ASCII ocean on the blank-session page with three whale colour modes.

Reports Codex reset probabilities and schedules in the DSH composer, with opt-in system notifications for completed resets and a read-only status and history tool.

Separate font slots for content, code and terminal text, plus an interface font, an interface-size stepper and an inline-code size stepper, with line-height and letter-spacing controls. Typography only — it never touches colour.

DSH hardware sandbox plugin: assemble a 3D scene of ESP32 / BME280 / PIR / LED components with protocol- and voltage-checked port wiring, run real Python project code in the loop against simulated I2C/GPIO hardware with fault injection, let networked device simulators report over HTTP to a real backend (validated end-to-end against a live seat-reservation system), observe a real device read-only and map its state onto the scene, and add support for new boards through data-driven pin definitions. Ships 16 hw_* agent tools plus a bundled SKILL.md.

A memory subsystem for DeepSeek Harness: full ontological memory (event/fact/rule three-ontology) plus a goal system (goal.js) — belief values written via Bridge trigger words, goal activation scored at read time (0.25 domain + 0.35 bridge + 0.40 sim) to recover goal/value long-range associations, journal ledger, episodic archive, low-confidence decay, memory_append/read/consolidate plus linghun_goal_update/get/state closed loop. Independent of the original dsh-linghun line. 16/16 on LoCoMo-Plus.

A daily journal the agent keeps: the journal_record tool appends dated todos and memories, with optional detail and tags, to one JSON file per day under the DSH home; the right sidebar draws those files as a month calendar marked per day by open todos, finished todos or memories, with checkable todos and the selected day's entries below; and the duty sentence it adds to the system prompt is editable from the calendar itself.

System-level desktop floating-window plugin for DeepSeek Harness (DSH): a global hotkey opens a floating window; the plugin supports workspace and session switching, approval and follow-up handling, and export of its own diagnostic logs for plugin troubleshooting.

Skill manager for DSH with a pack system. Installs skills as versioned packs and never overwrites files you have edited - upgrades skip your changes and report them. Also ships 6 built-in skills, a problem-grouped settings panel, and tools that let the agent read and write the skill library in conversation.

Monitor the account balance for 3rd-party services those AI agents often use, such as Tavily, SerpAPI, Firecrawl, Bocha, Tinyfish, etc. Optionally you can select to inject the account balance into the system prompt, so the agent can use the services accordingly.

A token-based DeepSeek Harness theme plugin with ten presets, custom colors, and system font pickers.

Native token-based themes for the DeepSeek Harness Web GUI, with custom colors and system font pickers.

A project-scoped memory plugin for DSH. Knowledge authoring and the plugin's own prompts are open to editing, so users can redesign the library structure and how the model is driven without changing a line of code. By default the library is built on one core idea: a project document you design yourself (a handoff by default) is the project entity; the plugin detects which project a session belongs to, binds captured knowledge to that project, and promotes what generalizes into theme and global layers. The most natural logic there is does the pre-filtering of knowledge, with controllable compression and archiving of context.

DeepSeek Harness (DSH) 推理等级自动选择插件：由 Jev System One 模型判断每条消息值多少思考量，按模型声明的等级自动推导档位，上下文信封让「继续」这类追问继承话题深度，低置信度向上取，任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.

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.

Maintained fork of dsh-approval-gate. A neutral operation whose confirmation count has reached the threshold auto-approves when the judge is unavailable, instead of prompting a human again; approver-facing explanations are generated in Chinese from the real sandbox mode, command and paths. Also carries deterministic hard-deny for credential exfiltration and system-path destruction, judge-input redaction, a judge model candidate chain, fingerprint-scoped allow rules, and an approval view with unified diff and one-click revert.