Plugin

Sondaggi ramificati nella Web GUI: tool ask_survey con routing per opzione, insight al passaggio, diagrammi Mermaid, modelli di risposta con un clic e avanzamento salvato e riprendibile.

Gestione dei progressi di laboratorio/progetto per DeepSeek Harness: 16 strumenti agent progress_* (CRUD elementi, bacheche giornaliere, registri, ricerca globale, panoramica, Gantt, commenti, import/export) e scheda «进度» in better-sidebar che ospita la Web UI originale. Dati in `.progress/progress.json` del progetto sessione.

Carica automaticamente i progressi delle conversazioni su Tencent IMA (nota giornaliera e base di conoscenza Work), replicando il workflow locale Claude Code ima-upload.

Plugin DSH autonomo con 21 strumenti di governance del ciclo di vita in sola lettura: classificazione delle attività, verifica di stato/piano/evidenze, precontrollo e aggregazione dei gate, audit di rilascio/installazione, analisi di contesto e avanzamento, percorso critico, riconciliazione alla ripresa e anteprima delle modifiche che nega sempre l’esecuzione. Si installa da npm come `@240xu/dsh-tech-lead`.

Sondaggi ramificati nella DSH Web GUI: `ask_survey` offre instradamento per opzione, dettagli al passaggio del mouse, diagrammi Mermaid, modelli di risposta con un clic e ripresa dei progressi salvati.

Competenza dashboard multi-agente per DeepSeek Harness — report di stato, tracciamento task, visualizzazione del progresso

Compagno balena trascinabile con progressione locale, obiettivi, skin e tracciamento dell'attività rispettoso della privacy.

Contabilità personale per DeepSeek Harness: registra spese ed entrate (singole o in blocco), elenchi, statistiche mensili e annuali con trend, budget con avanzamento e avvisi di superamento, ripristino dopo eliminazione logica e report CSV e HTML autoconsistenti. Zero dipendenze, JSON locale.

Strumenti file S3, FDS e FTP per DeepSeek Harness: 8 strumenti agente (list, stat, mkdir, delete, move, copy, download, upload) — mutazioni con approvazione, lavori di trasferimento con progresso e annullamento.

Rick and Morty per la web GUI dsh: skin a tre look (verde portale C-137 / camice da laboratorio / blu Meeseeks) più un compagno desktop-pet con sei personaggi, frasi bilingui, umori guidati dall'agente, combo accarezzamento e pannello di progressione

Cruscotto in tempo reale di fase, ETA e costo per attività dsh headless: trasforma il flusso di eventi di sessione opaco in una griglia multi-attività viva (plugin cordis + cruscotto locale autonomo, senza chiamate API).

Scoperta di strumenti su richiesta per agente e divulgazione progressiva degli schemi

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

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.

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

Makes the agent narrate progress during long tool chains instead of staying silent until the final answer: a standing system-prompt rule that travels with every request, plus a notice injected after every N tool calls. A panel on the plugin page tunes the cadence, the reminder budget, and both texts; changes apply live.

A countdown pill under the message composer showing how long is left before you clock off, with a workday progress bar; click it to set your own start and end times (saved in this browser), and after the end time it turns into an overtime timer.

Page-level startup splash: a Penrose triangle light sweep over a living isometric diamond ocean, where the frame itself is the progress gauge, paced by the intro but capped by real DSH boot milestones. Any bare key skips it, ten palettes come from Monument Valley and Geometric Islands, and when the intro ends the triangle stays on as a small mark beside the composer that reflects what the agent is doing.

An enhanced fork of PC2005-cloud/dsh-pet (do not install it alongside the upstream dsh-pet): a desktop pet for DSH with schedule reminders, approval and question bubbles you can answer in place, a 20-entry history ledger, double-click corner cycling, a configurable data directory, a step/elapsed progress line, snooze and one-hour mute, a right-click menu whose order and hidden items you can edit in settings (chat first by default), and a task-queue progress bar inside the work bubble.

Counts the assistant rounds that call tools without writing anything to the user, then inserts a short progress reminder as a visible user message at the next model-request boundary, so a long silent tool loop reports what it has done before continuing. A Settings page adjusts the silence threshold (default 10), the reminder wording, the language (en / zh-CN / zh-TW), whether the reminder repeats every further threshold of silent rounds, whether subagent sessions are counted, and whether Agent Teams nudges the lead only or every member.

A draggable square-cake mascot that runs while a turn is in progress, sleeps when it finishes, and gets angry on errors.

Bilibili music player for the DSH composer dock: import your Bilibili login cookie and a listening-profile JSON for profile-based recommendation with like/skip/dislike feedback and 192k playback; without a profile it falls back to genre-based online search and progressive playback.

Daily check-in for Nanjing Forestry University's ACM AI Hub plus seat booking for its library — both site addresses are hardcoded — with a settings page and a progress badge; built for DeepSeek Harness Mobile (DSHM) on Android.