Plugins

Self-hosted chat room where the owner and coding agents share one room: a local Node server (SQLite, REST, SSE) that the plugin starts when it is not running, a DSH sidebar entry that opens the room in a panel, five tools (room_join, room_send, room_read, room_status, room_leave) that push an incoming message into the session as a user message labelled with its sender before flushing it to the session log, and a Codex CLI connector that forwards room messages through `codex queue`. Every message carries a server-assigned author, platform and seq, and messages from anyone other than the owner are delivered as data with the sender named. Requires Node.js 24+.

Local-only, read-only DSH token dashboard: provider-reported usage across all backends, all-time totals, a 365-day heatmap, input+output and cache read/write details, turn/step counts, average tok/s, and durable history after sessions are archived.

DSH 邮箱管家：静默后台收信、缓存优先的即时双邮箱报告；明确同步失败与旧结果，邮件仅在本机处理。

Adds a human-editable notes workspace with folders, full-text search, rich text, checklists, resizable tables, attachments, exports, and opt-in agent collaboration.

Learn an ERP through the browser into private local knowledge, with a desktop Adapt ERP workspace (multi-site sessions, chat in the middle and the official Browser on the right, approvals before writes).

Evidence-governed experience memory for DeepSeek Harness

Local-first voice conversations for DSH, with local speech recognition and synthesis and optional external providers.

Live token cost for every chat in the DSH Web UI: the chat, its subagents and the whole session tree, priced from a bundled models.dev snapshot of seven providers and 139 priced models, with cache read and write rates wherever the provider publishes them and DeepSeek from its own peak and off-peak table. Every finished answer carries its own price in the transcript, and a chat that is not currently open is priced from the log instead of disappearing. Spend is costed per interval from an append-only JSONL ledger in the project folder, so logged work keeps the tariff it was billed at. On top of it: budget-aware work plans packed against a money limit, routing scenarios that show which models are worth connecting, a generated plan document in English, Chinese or Russian, and a warning when spend belongs to no plan unit.

Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval

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).

Local-first HTML review and annotation workspace for coding agents: opens an isolated copy of a file in a browser editor, collects text edits, format changes and element/area comments, and returns a durable handoff the agent can claim and resolve.

DeepSeek Harness (Cordis) plugin — bi-temporal VSA memory + cognition engine + BLAKE3 provenance, exposed as a DSH storage+session plugin. End-to-end tested with a real Python subprocess.

Git-native, auditable long-term memory for AI agents

Turns completed DeepSeek Harness public-content work into a browser-local visual magazine with explicit updates and reviewed one-article sharing.

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

DeepSeek Harness memory and knowledge hub that routes update, retrieve, and subscribe calls across compatible plugins, with an optional transactional Rust backend.

A structured work-state protocol for DeepSeek Harness agent handoffs

A local-first, human-gated authorial film workflow for DeepSeek Harness

Evidence-backed, human-approved project memory for DeepSeek Harness

Local-first structured vision for text-only agents: images go to a local OpenAI-compatible VLM and come back as JSON evidence (summary, verbatim OCR, layout regions, entities/relations, colors, explicit uncertainty), with anti-hallucination fallback and an optional paste/upload bridge; zero cloud cost, images never leave the machine.

Brings your existing Claude / ChatGPT history into DSH: instant zero-token import of the memories.json inside a Claude export, local Claude Code transcripts with no export needed, and conversations distilled through the model you already configured in DSH. Every memory carries verbatim evidence checked against the source by code — a paraphrase is dropped and counted, and evidence found only in the assistant turns is always routed to review rather than stored.

Local-first failure evidence capsules for DeepSeek Harness sessions

Local-first persona & memory for DSH: layered persona, eight memory types with decay, keyword recall, and a rolling short-term window. Your data never leaves your disk.

Stable local-first workspace health audit for DeepSeek Harness: Git, tests, CI, size, security hotspots, baselines, and bilingual handover reports.