Plugins

Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.

Generate validated, self-contained interactive architecture, workflow, sequence, data-flow, and lifecycle diagrams from repositories or system descriptions.

iPolloWork HyperFrames Video Studio and 27 editable video templates as a native DeepSeek Harness conversation view.

Swaps the filesystem and bash providers for a mirage virtual workspace: file tools and shell commands run over mounted resources (RAM, S3, Redis, Slack, Gmail, Notion, Postgres) instead of the host disk, with per-mount read/write/exec modes, per-command sandbox routing (monty, pyodide, quickjs in process; docker, e2b, daytona remote), and installed CLIs (git, gh, slack, linear, ntn, gws, or one you register) as head words in the virtual terminal.

Établi complet en barre latérale avec rendu et édition de fichiers, terminal, Git et sous-agents ; les plugins tiers peuvent enregistrer de nouveaux onglets.

Bridges DeepSeek Harness lifecycle status, errors, and approval requests to a locally running OpenPets desktop companion.

AgentRQ task manager for DeepSeek Harness: create, manage, and auto-pull AgentRQ tasks without leaving the harness

Software-engineering method pack for coding agents, with skills for baseline-first planning, systematic debugging, prompt hygiene, verification before completion, and repair/retirement tracking.

Runs local security audits of AI API relays and LLM proxies from DeepSeek Harness, producing Markdown reports for prompt injection, model substitution signals, tool-call rewriting, error leakage, stream integrity, and profile-gated Web3 risks.

Vision gratuite pour les agents texte seul : chaîne de vision intégrée sans clé, plus des outils pixel (questions-réponses, ancrage, recadrage, diff pixel, couleurs, OCR, tracé SVG, détourage, captures d'écran) ; collez une image pour l'utiliser.

Runtime d'agent open source compatible CMA pour n'importe quel modèle, avec outils MCP, sessions en sandbox, audit, relecture et une console locale. Inclut un bundle DeepSeek Harness natif via MCP stdio.

Tool catalog for agents: search ~2,600 external endpoints (SEO and SERP, backlinks, social, people and company enrichment, ad libraries, scraping) by the task you want done, read each one's parameters and per-call price, then call it with the credential injected server-side. Ships the skill plus an MCP row that stays disabled until TREG_TOKEN is set.

Mémoire persistante supervisée par LLM pour les agents IA — rappel basé sur un graphe, connaissances inter-sessions, binaire unique. Fonctionne avec DeepSeek Harness, Claude Code, OpenClaw et tout runtime d'agent.

PLUR memory for DeepSeek Harness — engrams injected straight into the prompt, no tool call required

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

The Engramory curated-memory discipline as an installable plugin ([npm: dsh-engramory](https://www.npmjs.com/package/dsh-engramory)): a deterministic 200-line / 25 KB cap on the `MEMORY.md` index via `ctx.tools.guard()` — growth denied, a shrinking rewrite always passes — plus the protocol registered as a runtime skill. The store is plain markdown, one file per fact, shared with Claude Code, Codex, Kiro, and OpenClaw.

Pont de recherche web pour les agents texte seul : interrogez le web ou X, obtenez des preuves JSON structurées (recherche, récupération, citations).

Marché de plugins DSH : parcourez, installez et mettez à jour en un clic, depuis l'interface web de DeepSeek Harness, tous les plugins du topic GitHub dsh-plugin.

Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.

Recherche conçue pour les agents : couverture multilingue sur le web, l'académique, le code, le shopping, la finance, l'actualité et les encyclopédies.

Intégration approfondie de Mnemon : mémoire locale à trois niveaux (Runtime Memory, Documents consultables, Memory Spaces supervisés).

Profile-wide DSH governance and routing bundle with configurable compaction calls and scoped local semantic memory; compatible with DSH 0.1.0-rc.6 and 0.1.0-rc.7.

Importez fidèlement l'historique de chat de 13 agents de code (Claude Code, Codex, ChatGPT, Cursor, Gemini, opencode et bien d'autres) en tant que sessions DeepSeek Harness reprenables, avec export inverse vers Claude Code.

Comparez plusieurs skills sur la même tâche et choisissez le gagnant.