Plugins

Deploys the qq-bridge engine to a remote host over SSH and wires it into DeepSeek Harness: environment check, config generation that keeps credentials out of the repo, systemd units for the bridge plus daily-archive, today-sync and watchdog timers, and four tools to check, configure, deploy and inspect the install. Adds a lite reply mode that calls the DeepSeek chat completions API directly, switchable persona cards, image and video understanding, and keyword search over archived group chats.

Let Agents directly control independent local DSH instances with zero intrusion—no plugins or components required on the target. Isolated environments enable autonomous configuration and testing, while Agents with different models and personalities can chat, role-play, or form nested control chains. Supports conversational setup, user-like operations, incremental reading, saved references, and remote session/workspace search.

A fake-ip-aware ctx.web fetch provider that takes over the stock http provider id: a hostname is accepted when every DNS answer is a placeholder inside the proxy's fake-ip block (198.18.0.0/15 by default), so web_fetch works under mihomo/Clash TUN mode without disabling fake-ip or setting proxy environment variables. IP literals and private, loopback and reserved destinations stay blocked.

dsh-ecolink DSH 适配层:直读本地记忆池、pre-step 注入(打分+预算+会话去重)、#记忆名 过滤,打通网页端记忆生态

Wraps Python virtual environment management commands: reduces the network and permission problems agents hit when managing environments through terminal commands, works across operating systems, and routes installs automatically through mirrors and local proxies. The tools are strictly confined by the granted read/write permissions.

Browses Bilibili on your behalf and actually takes part: search videos, like, coin, send danmaku, post comments, reply to other people, and keep replying when someone answers back. Reads the video's Bilibili AI subtitle (or transcribes the audio locally when there is none) so its comments talk about what the video really says, and it reads that same content before choosing whom to reply to. Instead of copying other people's sentences, it distills rules about how to sound like a person and gets less AI-ish the more it runs. Skips videos it already browsed, de-duplicates replies per thread, and after too many rounds with the same person in one comment section it reviews whether the exchange has any substance -- if it looks like two bots complimenting each other, it says one last line and stops replying to that person there. Checks whether each comment is genuinely public or only visible to your own account, can scan any time window (last hour / day / 3 days / all) and lists the ones others cannot see, warning you on the overview when replies got folded. Six-tab settings panel where every change takes effect immediately with no restart, a manual run that queues behind the background listener instead of being refused, and an environment self-check that tells you exactly what to install. Requires Python 3 for the Bilibili actions; the built-in check lists any missing packages.

Removes the inherited ELECTRON_RUN_AS_NODE variable from the environment the open-in-app package hands to launched editors, so the desktop host's "Open in ..." launches stop failing with HTTP 502 launch-failed; app.asar is untouched.

Use Windows and native Linux DSH sessions in one Windows window, with WSL environment switching and bidirectional system tools.

Configuration UI for the official OpenViking memory plugin: connection and user-key setup, local connection diagnostics, a per-session memory toggle in the composer, memory isolation that keeps recall inside the current topic, and recall tuning for score threshold, injected item count, query expansion and excluded URIs.

PC environment diagnostics & port control board: zero-dependency inspection of system, CLI toolchains, active listening ports with hover-to-kill release, and model key readiness. No external calls, zero plaintext secrets.

Cron job board: schedules local scripts or dsh session tasks (fresh or pinned sessions) by cron expression, with centralized environment-variable management, run logs, and concurrency and timeout control.

Cross-session memory with governance, self-evolution and an approval-gated write path for DeepSeek Harness. Heat-ranked recall, environment conventions, forgetting lifecycle, supersession chains, poisoning defense, auto-distillation, and an open measureme

Injects WSL distro, Linux path mapping, /mnt/c CRLF and git caveats, and NODE_USE_ENV_PROXY into the system prompt.

Web chat entry for DeepSeek Harness: a sidebar button opening chat.deepseek.com in a dedicated desktop window under dsh-desktop, with in-webview fallback for plain web environments.

Runs the agent's filesystem, bash and PTY terminals inside a Docker container by providing the `ctx.fs` and `ctx.subprocess` seams, so cwd, environment and background processes survive a harness restart.

兰亭 CLI 命令工具化 + L0 守卫：记忆面 9 工具 + 质量面 6 工具（defineTool 注册，spawn venv _cli.py）+ 直写/直调守卫

Tested-curation lab for DSH plugins: every entry passes real install/static-scan gates in an isolated environment, with full logs and reproduction commands (Chinese-first).

Docker tools for agents: ps/images/logs/inspect/exec/manage/health with JSON output, env-configurable CLI path, approval-gated exec and zero runtime dependencies.

Offline diagnostic for DSH: 19 checks across env, profile, and session state, with a settings "Doctor" panel and a read-only JSON API.

Use SSH hosts and WSL distributions as remote DSH workspaces, with environment setup, model configuration porting, and the remote interface embedded locally.

Bilibili live-room danmaku for DSH: read live chat, send messages only after explicit confirm, hang out in a room in the background, optionally let the model decide whether to reply, and optionally transcribe stream audio to text; no video understanding. Setup needs a Python 3 venv with the bundled requirements plus Bilibili cookies; transcription additionally needs ffmpeg and a Whisper engine.

NURBS BRep solid modeling studio with natural-language input, live 3D viewport (measure/wireframe/fit), STEP export, and agent tools driving NVIDIA usd-brep through a managed CPython venv. Needs CPython 3.12; usd-brep wheels cover 64-bit Windows and Linux only.