Plugins

Private local file attachments for DeepSeek Harness with native images and bounded document reading.

Hub de memória e conhecimento do DeepSeek Harness que roteia chamadas de atualização, recuperação e assinatura entre plugins compatíveis, com um backend Rust transacional opcional.

Um protocolo estruturado de estado de trabalho para transferências de agentes do DeepSeek Harness

Um fluxo de trabalho cinematográfico autoral, local-first e com controle humano, para o DeepSeek Harness

Memória de projeto respaldada por evidências e aprovada por humanos para DeepSeek Harness

Visão estruturada local-first para agentes somente texto: as imagens vão a um VLM local compatível com OpenAI e voltam como evidência JSON (resumo, OCR literal, regiões de layout, entidades/relações, cores, incerteza explícita), com fallback anti-alucinação e ponte opcional de colar/enviar; custo zero em nuvem, as imagens nunca saem da máquina.

Traga seu histórico existente do Claude / ChatGPT para o DSH: importação instantânea sem tokens do memories.json dentro de uma exportação do Claude, transcrições locais do Claude Code sem necessidade de exportação e conversas destiladas pelo modelo que você já configurou no DSH. Cada memória carrega evidência literal verificada contra a fonte por código — uma paráfrase é descartada e contabilizada, e evidência encontrada apenas nos turnos do assistente é sempre encaminhada para revisão em vez de armazenada.

Cápsulas locais de evidência de falha para sessões do DeepSeek Harness

Long-term memory for DeepSeek Harness, read-only as of 0.1.0: a scribe_recall tool that reads a plain-markdown memory room, path rules that refuse directory traversal, Unicode smuggling and NTFS alternate data streams, and a bounded index whose truncation is always reported rather than silent.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.

Chat agent for a DeepSeek Harness session: create characters and write their personas, keep several archive threads per character, undo or rewind the locally stored transcript, and record story beats in an event book.

Local file recall: indexes the folders you choose into one local SQLite database, so 'where did I put that file?' is one query instead of a disk walk. Caches, VCS and program folders are pruned per directory; each folder keeps its own incremental anchor, so a folder added later is backfilled in full. Read-only: it never modifies, moves or deletes your files.

dsh 插件：本地蒸馏器——扫描全部历史会话，挖出「用户纠错 → agent 改对」片段，脱敏后蒸馏成微调数据对（JSONL）、技能草稿与 AGENTS.md 规则补丁，带人工审核队列

Records scoped workflow rules and correction reminders with bounded evidence, local settings, and optional Brain Hub integration.

Project-scoped local memory with review-before-recall, source references, reversible consolidation, and a portable Cordis service; the Harness adapter provides search and settings, with optional Brain integration.

Polaris Memory: local-first project memory plugin for DeepSeek Harness. Uses per-project .dsh-memory.json; provides memory_read/recall/write/update/delete tools, /memory command and settings UI, with tiered injection (resident user profile + scene-triggered memories with P1/P2/P3 importance), semantic recall (IDF + synonym layer), and a hard-guard mechanism for bottom-line memories (detect deny-semantics -> authorize -> block AI deletion; user can confirm-override).

本地优先的 Harness 运行遥测插件：记录请求、模型、工具与插件生命周期指标（延迟、Token、成本、错误、缓存），默认不采集内容。Local-first Harness telemetry plugin for DeepSeek Harness. npm 包 dsh-local-telemetry（dsh-telemetry 名已被第三方占用）。

Approval-gated workspace instructions and memory for DeepSeek Harness

dsh-plugin: quality-first topic memory for dsh — a topic keeps the starting question, conclusion, impact and dependencies, not the process; local-first git-traced OKF bundle, budgeted LLM-free injection

Local-first control plane for managing multiple DSH runtimes, profiles, presets, sessions, plans, and knowledge references.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

Adds a /dshpp slash command that reports session and token usage, cache-hit rate, and estimated cost from harness session logs; the repo also ships a CLI and local web console for lifecycle, provider, session, and plugin-security management.

Local-first DeepSeek Harness plugin marketplace with GitHub and dshfind providers