Plugins

Revisa todos los archivos que el agente escribió en una sesión desde la cabecera de la sesión, con hunks por archivo y las escrituras rechazadas contadas aparte de los cambios.

Organiza las sesiones del espacio de trabajo de DeepSeek Harness renombrándolas como 类别｜主题 e informando sugerencias de archivo, renombrado y revisión.

Aplicación web de explorador de archivos para DSH: frontend de React y API REST servidos por el servidor web anfitrión, un comando /dsh-agfs que se abre en el espacio de trabajo de la sesión actual y una herramienta de modelo browse_files.

Notas adhesivas de workspace para DSH, guardadas como múltiples archivos Markdown bajo el workspace actual.

Panel de progreso de descargas: descargador de URLs, seguimiento de transferencias por shell/SSH del agente y monitoreo de caja negra del crecimiento de archivos en el espacio de trabajo, mostrado en un panel flotante y arrastrable con bytes en vivo, velocidad, porcentaje y tiempo estimado.

Copia de seguridad, restauración y actualización del ecosistema del espacio de trabajo entre dispositivos, mediante la CLI de uagent-sync.

One private Feishu group per DSH workspace with real-time two-way message synchronization.

Multi-workspace manager: bind a docs anchor plus ordered code-project repositories into one session, injecting their absolute paths, a recursive file index, a server/client endpoint index and optional coding standards, and syncing writable directories into the sandbox.

Drive DSH from anything that speaks HTTP: 47 routes (REST + SSE) for workspaces, sessions (create/prompt, live SSE generation, history, stats, todos, cancel, ask-user Q&A), models and the global default model, providers, agent presets, settings namespaces, skills, and workspace files including resumable chunked upload — plus an OpenAI-compatible /chat/completions, a built-in OpenAPI 3.0 spec and an interactive request page. It only injects the host webServer and tools, so it rides on the DSH webserver (default prefix /api/v1) or its own port with optional API-key auth, and it ships a skill that teaches the DSH agent to call the API.

DSH plugin that registers the ai-eight-honors-eight-shames skill: eight checkable working rules for coding agents (verify before calling, confirm ambiguity, cite evidence, reuse before creating, test before claiming done, follow local conventions, separate fact from inference, keep changes reversible) plus a ninth rule that logs each user request and the change made in report files at the workspace root.

Drive your local DSH from WeChat: a self-hosted iLink bridge over a persistent ACP session (context lives in DSH and is resumable), phone conversations grouped into the desktop workspace, with image recognition, file messages (Excel/Word/PDF, parsed by the agent itself) and voice transcripts. Access defaults to strict (only registered devices are served); the phone channel's permission preset is wide by design - see the README security section before sharing the bot.

Tiny local vector memory via Ollama embeddings and ~/.dsh/vecmem (workspace namespaces; optional IM crumb via vecmemOnReply).

Sandboxed ripgrep / fd / ast-grep under allowRoots (defaults include ~/.dsh/im-workspace).

DSH plugin that registers the ai-eight-honors-eight-shames skill: eight checkable working rules for coding agents (verify before calling, confirm ambiguity, cite evidence, reuse before creating, test before claiming done, follow local conventions, separate fact from inference, keep changes reversible) plus a ninth rule that logs each user request and the change made in two fixed report files at the workspace root.

A CodeGraph tool scoped to the session's own indexed project, resolved from its workspace directory. One MCP server is launched through npx per project root and shared by every session working there; a project indexed mid-session is enabled without a restart, and the managed child process is reaped when the harness exits.

Self-contained personal portfolio and investment-research workspace for DSH with local registration, asset import and allocation views, market and news tracking, a research library, and optional user-configured AI briefs; ships a Windows runtime and stores data locally.

Native-feeling session manager: bulk archive/restore/hard-delete, two-stage force-stop with auto-resume, and instant copy-workspace-path.

Workspace checkpoints per tool call: records every file mutation inside the workspace (excluding .git and node_modules by default), including changes made by shell commands rather than by write/edit, and stores the previous content of each changed path in a content-addressed store kept outside the workspace. Restores have two modes — undo one record, or return to a point in time — with a line-level diff preview, a dry run by default, and a rescue record written before every restore so the restore itself can be undone.

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.

Installer and configuration base for a five-plugin DSH assistant suite: probes the Python, WPS and workspace environment, installs the sibling plugins shipped in the same repository, and generates the workspace baseline (instruction layer, memory seed, skills, settings); it also contributes its own settings section and its own host-side setup and check logic.

Reads .mcp.json from the .dsh home and from the agent workspace, mounts every mcpServers entry into DSH, and adds an MCP tab in the Web UI for listing, adding and unloading servers.

Per-project memory for DeepSeek Harness. Three Markdown files per workspace — PROJECT.md, DECISIONS.md and SESSIONS.md — are auto-created on the first step of any session in that workspace, re-read from disk and re-injected only when they change (and re-injected if compaction dropped them), and written back by classification through a memory_checkpoint tool, with a bounded end-of-turn nudge when a turn did work but recorded nothing. memory_read and memory_search read the live log and the archive, the latter over a zero-dependency BM25 index. The session log is capped at 200 entries with the overflow moved to SESSIONS-archive.md — never injected, but visible, readable and searchable, and restorable one entry at a time. Settings page: a workspace list with a path filter, read-only tabs for the three memory files plus the archive, reload, export/import of one workspace's memory as a JSON bundle, a two-step clear, a panel that rewrites or removes the AGENTS.md instruction block, and a PROJECT.md staleness reminder. A composer status chip shows that workspace's sync state and creates the files on click. Zero dependencies — no vector store, no embeddings, and no model calls.

Conversation enhancements: a history-input overlay (Alt+Up with workspace/session/global/prompt scopes), recall of unapplied interjected messages, conversation forking with fork-family version switching, and optional auto-resend after forking (off by default).

Session workspace file manager: adds a "Files" tab to the conversation area to browse the current session workspace directory tree and manage it in place (upload, download, mkdir, rename, delete, search), with files mentionable into the composer for the agent to process.