Plugins

Sondages à embranchements dans l’UI Web : outil ask_survey avec routage par option, insights au survol, diagrammes Mermaid, modèles de réponse en un clic et progression mise en réserve, reprenable.

Gestion de l’avancement de laboratoire/projet pour DeepSeek Harness : 16 outils agent progress_* (CRUD d’éléments, tableaux quotidiens, comptes rendus journaliers, recherche globale, vue d’ensemble, Gantt, commentaires, import/export) et onglet « 进度 » dans better-sidebar hébergeant l’interface Web d’origine. Données dans `.progress/progress.json` du projet de session.

Envoie automatiquement l’avancement des conversations vers Tencent IMA (note quotidienne et base de connaissances Work), selon le workflow local Claude Code ima-upload.

Plugin DSH autonome regroupant 21 outils de gouvernance du cycle de vie en lecture seule : classification des tâches ; validation de l’état, du plan et des preuves ; précontrôle et agrégation des portes ; audits de mise en production et d’installation ; analyse du contexte et de l’avancement ; chemin critique ; rapprochement à la reprise ; aperçu des modifications qui refuse toujours l’exécution. S’installe depuis npm sous `@240xu/dsh-tech-lead`.

Sondages ramifiés dans DSH Web GUI : `ask_survey` propose un routage par option, des informations au survol, des diagrammes Mermaid, des modèles de réponse en un clic et la reprise de la progression enregistrée.

Compétence tableau de bord multi-agents pour DeepSeek Harness — rapports d'état, suivi des tâches, visualisation de progression.

Compagnon baleine déplaçable avec progression locale, succès, skins et suivi d'activité respectueux de la vie privée.

Comptabilité personnelle pour DeepSeek Harness : enregistrez dépenses et revenus (unitaire ou par lot), listez, statistiques mensuelles et annuelles avec tendances, budgets avec progression et alertes de dépassement, restauration après suppression logique, rapports CSV et HTML autonomes. Zéro dépendance, JSON local.

Outils de fichiers S3, FDS & FTP pour DeepSeek Harness : 8 outils d'agent (list, stat, mkdir, delete, move, copy, download, upload) — mutations gardées par approbation, jobs de transfert avec progression et annulation.

Rick and Morty pour la web GUI dsh : skin à trois looks (vert portail C-137 / blouse de labo / bleu Meeseeks) plus un animal de bureau compagnon avec six personnages, répliques bilingues, humeurs pilotées par l'agent, caresses en combo, et panneau de progression

Tableau de bord en temps réel des étapes, de l'ETA et du coût pour les tâches dsh headless : transforme le flux d'événements de session opaque en une grille multitâche vivante (plugin cordis + tableau de bord local autonome, sans appel d'API).

Découverte d'outils à la demande par agent et divulgation progressive des schémas.

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.