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.

Bancada completa na barra lateral com renderização e edição de arquivos, terminal, Git e subagentes; plugins de terceiros podem registrar novas abas.

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.

Visão gratuita para agentes somente-texto: cadeia de visão integrada sem chave, além de ferramentas de pixel (perguntas e respostas, grounding, recorte, diff de pixels, cores, OCR, rastreamento SVG, recorte de objetos, capturas de tela); cole uma imagem para usar.

Runtime de agente open source compatível com CMA para qualquer modelo, com ferramentas MCP, sessões em sandbox, auditoria, replay e um console local. Inclui um pacote nativo para o DeepSeek Harness 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.

Memória persistente supervisionada por LLM para agentes de IA — recuperação baseada em grafo, conhecimento entre sessões, binário único. Funciona com DeepSeek Harness, Claude Code, OpenClaw e qualquer runtime de agente.

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.

Ponte de busca na web para agentes somente-texto: pergunte à web ou ao X e receba evidências estruturadas em JSON (busca, fetch, citações).

Marketplace de plugins do DSH: navegue, instale e atualize com um clique, na GUI web do DeepSeek Harness, todos os plugins do topic:dsh-plugin do GitHub.

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

Busca criada para agentes: cobertura multilíngue em web, acadêmico, código, compras, finanças, notícias e enciclopédias.

Integração profunda com o Mnemon: memória local em três camadas (Runtime Memory, Documents recuperáveis e Memory Spaces supervisionados).

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.

Importe históricos de chat com fidelidade total de 13 agentes de codificação (Claude Code, Codex, ChatGPT, Cursor, Gemini, opencode e outros) como sessões retomáveis do DeepSeek Harness, com exportação reversa de volta para o Claude Code.

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