Plugins

强度表是 DSH Web 开源插件：设置页按模型统计 token 用量（环形图、热力图、趋势），数据仅来自本地日志。一条命令安装，重启即用。 dsh-strength-meter: a DSH plugin. Settings shows per-model token usage (donut, heatmap, trend), local logs. One command, restart.

DeepSeek Harness plugin: serve LLM calls with the OAuth tokens your local Codex CLI and Claude Code already hold, instead of a separately configured API key.

DeepSeek Harness (dsh) 右侧账户计量小框：多账户（DeepSeek / Kimi 等）余额 + DSH 内消费统计，当前接入账户高亮，消费口径标注「DSH 消耗」，设置页可视化账户配置。A right-side account meter for the DeepSeek Harness Web GUI: per-provider balance, DSH-local spend, active-account highlight and a visual account edito

Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes

DeepSeek Harness bundle that exposes Model Context Protocol (MCP) servers — stdio, streamable HTTP and legacy SSE — as native Harness tools, with a settings UI, live status, auto-reconnect, and backup/restore via local files or WebDAV.

Install iHow Memory as a local-first shared memory plugin for DeepSeek Harness.

Local JSONL run traces for DeepSeek Harness sessions

Privacy-first Markdown and self-contained HTML sharing for DeepSeek Harness sessions

DeepSeek account usage monitor (HP/MP) — sidebar module with balance and token usage bars; WeChat scan login via bundled CLI (login-cli.mjs), hourly visible-only sync, and real-time local token increments.

Password gate for dsh-web: opening the web port requires a username/password login; account credentials are stored salted+scrypt-hashed and AES-256-GCM encrypted in a local config file under $DSH_HOME. Host-only cordis plugin, no dsh source changes.

DeepSeek Harness plugin: multimodal tools (image/audio/video/document understanding, transcription, image generation) via Gemini API or the local Antigravity CLI.

Password + CIDR gate for DeepSeek Harness web / DeepSeek Harness 局域网密码门禁

Use a local TraeX coding agent as a DeepSeek Harness model provider over ACP.

DeepSeek Harness community Bundle for local, evidence-backed Agent Memory

The pet that grows with your agent: 5 evolution stages earned from real signals (verified rules, completed sessions, tool calls, compactions), agent-state mirroring, and one-click growth share cards. Zero dependencies, 100% local.

Installation safety gate for DSH plugins: antivirus-style scan of install scripts, permissions, secrets and network callbacks on local directories or npm tarballs, returning a BLOCK/WARN/PASS verdict before "dsh plugin add".

Verification-driven self-evolution loop: failure logs become verified AGENTS.md rules; in-session plugin (evolve_learn / evolve_apply / evolve_touch / evolve_recall), tool-verify gate, rule lifecycle, local recall.

S3-compatible backend for the spill seam: oversized tool output goes to object storage (S3, MinIO, R2) with hashed session prefixes and unguessable keys, instead of the agent's local disk.

Ecosystem trend dashboard (行情面板): snapshot the dsh-plugin topic and the awesome list into local history, then report weekly trends — new plugins, star gainers, category heat, awesome coverage — plus a keyword radar for new plugins and star surges.

Workflow tools for the local aflare binary: generate, validate and run local-first deterministic YAML workflow DAGs (WAL crash recovery, Saga compensation) through the local aflare binary, with 300+ templates built in.

Hands repetitive text and vision labor (OCR, image analysis, comparison) to a locally running Unsloth Desktop (Unsloth Studio) server through unsloth_run and unsloth_vision tools; pure HTTP client, never spawns or owns processes.

Hands repetitive text and vision labor (OCR, image analysis, comparison) to a local KoboldCpp (llama.cpp) server through koboldcpp_run and koboldcpp_vision tools, with on-demand server lifecycle management.

Lokale OCR für angehängte Bilder über die integrierte Windows-Engine (Windows.Media.Ocr): Nur der erkannte Text wird an das Modell gesendet, niemals die Bild-Bytes; der Vision-Passthrough ist opt-in.