Plugin

Adds three tools that hand DeepSeek Harness downloads to the Rayburst aria2 engine — rayburst_download, rayburst_wait and rayburst_status. Requires the Rayburst desktop app (aria2-next) installed and running on the same machine; the plugin reads its aria2.conf for the RPC port and secret.

Local-first resume warehouse for DeepSeek Harness: package your work into reusable bullets, import an existing resume into a template, analyse a job description (including the school-tier preference it implies), assemble a tailored Chinese or English resume and export a PDF named position-name-school. The whole app ships inside the npm package — server/, web/, skills/, scripts/, requirements.txt, no git clone needed — and one tool starts, stops and health-checks it; the first start installs the dependencies into app/.venv. Needs Python 3.10+ and macOS or Linux (bash). Nothing leaves the machine except the LLM calls you confirm.

Fusion 360 for DSH: bridges the MCP server Fusion ships (read, execute, update, electronics) with every upstream schema kept byte-for-byte while the always-on tool surface drops 70 percent, adds an editable endpoint under Settings, and wraps a local hf.py modelling loop as nine hf_* tools (needs Python 3.10+ and a fusion-harness workspace).

For the DSH Go phone app (https://go.dshtui.com): watches the quiz screen and pushes each answer as a heads-up notification, using an optional local answer bank.

Local media toolbox for DeepSeek Harness: converts files between 27 video, audio and image formats, trims clips, extracts audio or video tracks without re-encoding, exports embedded subtitles to .srt, compresses images with a before/after preview, reads and rewrites metadata, and encodes or decodes Base64 — all through the ffmpeg already installed on the machine, so files never leave it. The same engine is registered as a media_toolbox tool agents can call.

Layered memory for AI agents: five verbs (wake/work/pit/tomb/close), core layer read every time, archive on demand. Plain markdown, four pages created on first run; survives restarts, model swaps and plugin removal.

Per-workspace personal knowledge base for DeepSeek Harness: each identity gets an isolated local library — import PDF, Word, Excel, Markdown, text, HTML and images, auto-chunk and embed into SQLite with FTS5 + vector hybrid retrieval, then ask questions in chat with numbered citations back to the source. Local-first, no cloud upload; vector embeddings need a local Ollama (default bge-m3), and without it retrieval degrades to FTS5 keyword search.

Runs Hindsight long-term memory on your own machine: after a one-time uvx --from hindsight-embed@latest hindsight-embed profile create server setup (~450 MB of Python dependencies) and with your own LLM key, the plugin manages the local memory server itself (health probe, start, stop, logs), registers ten hindsight_local_* tools for status, page search, page read, recall, remember and reflect, injects a knowledge-page index once per session, writes each finished turn back into the bank, and extracts facts with your own LLM key. Do not enable it alongside the official @vectorize-io/hindsight-coding-agents plugin: both read the same bank and would inject duplicate context. At session end it writes a handoff snapshot that the next session injects as previous progress. The data directory is configurable (dataDir) and scripts/relocate.mjs moves an existing install to another drive, creating directory junctions where the server hard-codes its paths.

Read-only persona injection for DSH: when a session opens inside your workspace, your persona files and the latest diary entries are prepended to the system prompt, and those source files are never modified. It keeps a short cross-session feed of recent messages under <root>/live/feed.json and can write a QQ hand-off file at <root>/live/web-for-qq.md; nothing is uploaded. Variable blocks (clock, recent actions, other sessions) are delivered as a per-step context message, so the prompt prefix stays byte-stable and keeps its cache.

PTC agent preset whose tools.guard refuses tool calls until the session holds an active goal and an in-progress todo.

Session manager and session settings for the DSH sidebar: sessions grouped by workspace with archive filters, title search, batch archive and a read-only transcript preview; global and per-workspace name, occupation and instructions injected into the system prompt; optional recent-only and hide-workspace filters for the sidebar.

One main session coordinates several root sessions: a /relay command and 14 peer_* tools for batched status reports, a version-line notice, task-board claims, handoff and wake, read-only session inspection, and a web panel. Phone notifications need the DSHA device bridge.

Wall-clock session and turn timing for the DSH Web GUI: a timer chip in the session header shows the session total, every finished turn shows its own duration above the action row, and a sidebar panel totals today, the last 7 days, the last 30 days or all sessions. The numbers are folded from turn/start and turn/end in the session log, so paging, compaction and restarts do not change them.

Cache-first context compaction with an optional adaptive economic policy, observation-only by default, without cache-hit or cost-saving guarantees.

Sync DeepSeek Harness sessions and workspace files to a private GitHub repository for cross-device handoff, with sync badges, search and bulk upload, independent local/remote delete, conflict "pick a side", and multi-device-safe index merging.

Adds a work-without-a-project option to the project picker, creates a dated working directory from the first message, and groups these sessions under a native Recent section.

Gives an agent tools to open foreground sessions, prompt them in queue or steer mode, read the transcript back, cancel a turn, and get the authenticated URL of the local web app.

Share a DSH conversation without making the recipient install anything — copy a 24-hour LAN link, export a self-contained web page they can open offline, or import a .dshchat file as a real resumable session when both sides run the plugin.

Adds two entries to the DSH web sidebar above the settings row: a batch picker that groups sessions by workspace, filters them by a search box and moves the selected ones into a recycle bin, and a recycle bin that restores sessions one by one or all at once, or permanently deletes them. The recycle bin keeps its own list in browser storage and hides its sessions by wrapping the host session-visibility check, so it does not use the host archive; a moved session keeps its log on disk until it is permanently deleted. Sessions that are currently running are refused and reported instead of being moved.

Injects your own text into the DeepSeek Harness system prompt as real system sections from a sidebar editor: each section lands after the persona, after the tool docs, or at the very end of the prompt, can be switched on or off, and can resolve {{variables}}; a preview runs the host's own assemble and render pass so you see the exact prompt the next request will send, with empty, duplicate, unknown-variable and oversize sections flagged.

Replaces the signed-in sidebar account name and avatar on this device only, without changing the account or uploading anything.

Adds lasting bots with their own name, photo, persona, memory, voice and model, a Bots panel in the sidebar, and a hidden helper subagent per bot that follows the conversation, searches ahead and leaves notes the bot reads; voice uses your own ElevenLabs, OpenAI, Groq, Mistral or Deepgram key. Interface and prompts in Brazilian Portuguese.

Give your agent an external emotion state machine: several axes (0-100) that drift over time and move when you speak to it. Each turn the plugin injects which band you are in plus which tags you may use. The numbers belong to the plugin: the model reads them from the injected prompt and can change them only through the plugin's own emotion tools, never by asserting a mood.

QQ protocol backend for DeepSeek Harness on Linux: boots LinuxQQ and NapCat with the engine (first run installs them, about 250 MB) and exposes a standard OneBot 11 endpoint.