Plugins

Embeds a private local Sub2API gateway (Sub2API + PostgreSQL + Redis via Docker) into the DeepSeek Harness sidebar with automatic local login. Windows only, with Docker Desktop and its WSL2 backend already installed; the first start pulls about 250 MB of images and needs local ports 18080 and 18081 free.

Self-hosted SearXNG search provider: the bundled installer sets up and supervises a local instance on macOS/Linux/WSL (needs git and Python 3.11+), key-less and tracking-free; it probes the engines your network can reach and applies the recommended set in one click.

Slims PTC SDK tool definitions to plugin-level summaries and tool names, then returns the full visible tool pack when the model calls unwrap with an exact plugin ID, without changing scope or permissions.

Delegates independent tasks from DeepSeek Harness to the local OpenAI Codex CLI and returns the result to the current conversation. Provides four tools (task execution, status check, danger-mode toggle, enable/disable switch), enforces a real-path working-directory whitelist with symlink-escape protection, defaults to Codex workspace-write sandbox mode, passes the task body as a single argv argument to avoid shell injection, kills the whole Codex process group on timeout or cancel, and caps output length. Requires Node.js >= 20 and a Codex CLI build supporting codex exec.

Persistent Codex advisor threads for DSH sessions, with six native tools, a Codex trail, a sidebar status card, and explicit model/effort provenance. Requires a locally installed Codex CLI with app-server support and a logged-in ChatGPT/Codex account (the CLI is not bundled); tested on Windows 11 with DSH Desktop 0.2.1-rc.5.

Treemap disk usage map with linked cleanup suggestions, a reviewed trash plan, and an append-only audit log on macOS.

Per-Bot memory for Tobs Bots (requires DeepSeek Harness with @botharness/core; it ships off with no Bots listed, and after you list a Bot and set mode to on it works with no other service): a read-only local full-text index of that Bot's own past conversations (Chinese words found inside sentences), memory imported from other AI tools, a status tool, optional auto recall before a step in which a Human speaks, and a service for other plugins. Richer backends can be chosen at install, with a quote first and a daily token cap: a public fact store (memv2-lite), the official Graphiti graph, or both, fed from the Bot's own conversations.

Cross-session long-term memory for DSH: eight memory layers, four notebooks, hybrid SQLite FTS5/vector/graph retrieval, agent-driven automatic capture, write lifecycle hooks, optional write audit, project spaces, forgetting and a visual management page. Full FTS5/vector/graph retrieval needs the bundled Go service, which ships only as a Windows x64 prebuilt; on macOS/Linux, build it from source or the plugin falls back to Node SQLite without FTS5 and retrieval degrades.

A cross-workspace Library for DeepSeek Harness: agents record files, tools, environments, knowledge and work records so any later session can index, search and reuse them.

Adds a knowledge-base sidebar backed by the separately installed local Obsidian Quote service: select registered vaults or folders, retrieve read-only note excerpts and cited context, extract rules, generate project convention briefs, and view shared citation statistics.

Zhinao (second brain) for DeepSeek Harness: Markdown-authoritative layered memory (L1 long-term model gated by user confirmation / L2 knowledge with mandatory sources / L3 recent status under daily quotas), a local recall ledger explaining every injection, lifecycle engine with weekly review and a Web panel. First-run wizard initializes a blank brain, adopts an existing Zhinao directory read-only, or fills in only missing skeleton files; existing files are never touched.

Local searchable archive of DSH chat history: decodes the multi-frame zstd session logs (thousands of concatenated frames), extracts user and assistant text into SQLite, and exposes sync / search / stats tools. Idempotent imports, no external service, nothing leaves the disk.

Elysia's memory plugin for dsh. One shared, human-editable MEMORY.md across every session: two-disk mirror, history snapshots, cross-process write lock; entries tier between the main file and a searchable archive by hit frequency; retrieval is keyword co-occurrence plus BM25. Nine sections (persona, requirements, corrections, lessons, methods, requests, sessions, method library, ingested docs) plus a dedicated self-identity section for a character's own self-cognition, injected above the persona. Ships an opt-in memory pack (packs/elysia: 61,903-char identity + 2,482-char persona, distilled from 1,696 officially-confirmed voice lines and 112,175 dialogue lines — not written by hand, measured) that is off by default, backs up before writing, only touches identity/persona, and can be uninstalled. Also opt-in voice playback through a local GPT-SoVITS engine, a skills library, and a sticker library that sends a fitting sticker at the right moment.

Workspace artifact manager that sorts files into artifact, process, memory and material roles, with extra workspace roots, 12 file types, a year/month/day timeline, preview, rename, trash, zip archive and optional COS sync.

Sync DeepSeek Harness sessions and workspace files to a private GitHub repository for cross-device handoff, with sync badges, search and bulk upload, independent local/remote delete, conflict "pick a side", and multi-device-safe index merging.

Layered context management: at each turn end older tool output becomes a deterministic card, the model can fold older ranges into its own summaries in up to three tiers (compress), and every original is archived locally for decompress and search_context. Works alongside DSH-Mem0: superseded runtime-context snapshots (such as recalled memories) are never archived, carded or folded, and are replaced by a one-line placeholder at turn end when the prompt cache is already broken, when the saving outweighs the cache miss, or above 75% of the window; a strataBudget service (pressure, allowance, countTokens) and a strata/fold-landed event are provided for other context plugins; strata_status warns when DSH's automatic compaction is off or its official summary keeps failing. Its L1 layer, archive rotation, prune guard and preset takeover are forked from dsh-live-compact 1.0.6 (MIT); uninstall dsh-live-compact or billion-context first — they replace the same compaction rows and Strata will not take over while either is installed.

Passive recorder that replays the main agent and every subagent on one timeline, flags repeated calls, loops, recurring errors and truncated output, and writes an AI cause-and-effect review on demand.

Slumber Pavilion physically moves archived DSH sessions out of the load path into ~/DSH-Archive, and ships archive, read, restore and delete tools for them.

Feishu OAuth login reduces the need to distribute the DSH owner token while retaining token login; authorized users receive native owner session cookies with shared owner privileges, without per-user isolation.

Makes DSH's OpenAI Responses calls stateful: after the upstream confirms it stored a response, each turn sends only the newly added input items plus previous_response_id, and a stateless upstream is detected on the first response so every later request falls back to the full history.

Customize per-provider User-Agent headers and stream idle timeouts, set retry counts and intervals with visible progress, and optionally send bounded continuation messages after retries run out.

Merges your configured, runtime-registered and locally cached models into one panel, probes and minimal-request tests them, pulls each channel's upstream /v1/models catalog, and chains the keepers into named schemes. A virtual ModelPool provider fails over at request time with per-model cooldowns, exponential backoff, image-request avoidance for text-only models, and a 10-minute memory for rejected reasoning levels. Adds a token ledger by day and model with CSV export, and 21 regression probes. Not a fork of dsh-llm-fallbacks.

Adds a per-session Standard/Fast switch; when the administrator fills in provider, source and target URLs, a loopback proxy injects service_tier priority into matching Responses requests and forwards them to that target.

Runs one task through several configured models at once — in parallel or as a primary/secondary review — and returns each model's answer plus an aggregated digest.