Plugins

Pause / resume / cancel the in-flight conversation task from the composer area: forced pause interrupts immediately and remembers the interrupted tool, safe pause lands after the tool or reasoning finishes, resume asks for confirmation, and the default pause granularity is configurable in the settings.

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models. Within a turn it supports skeletonized information compression with a low original-text retrieval rate; at the tail of a turn it supports a turn-tail intent summary implemented purely by content substitution; context content stays safe, and the whole process runs inside the official JSONL compression.

Requirements interview before work starts: judges whether a request is clear, asks focused questions when it is not, in strict mode denies editing tools until the user confirms a four-part summary in chat, and keeps confirmed preferences in two-layer memory.

Terminal coding agent for DeepSeek Harness with a full-screen alternate-screen UI, turn-aware session navigation, and a gated /ship workflow that takes one-line requirements through specification, TDD, and rerun acceptance checks.

Global Chinese mode: a compact pill switch beside the composer that injects a language requirement into any preset's system prompt (complete personas excepted); reply, thinking and tool output each toggle between Chinese and English, and anchored presets are supported.

Runtime requirement drift guard that keeps long-running DSH agents aligned with the user's approved goal, constraints, and decisions.

Adds one draggable desktop pet to the DSH web GUI: a whale girl called Big Fat Fish (nickname Jingjing), with eight switchable colour skins and a personality. She eats rice, is clever but lazy, and is a tsundere: too many rapid clicks and she lies down and refuses to react for a while, calling her fat annoys her and she insists she is not, and the nickname Jingjing pleases her. She also remembers you between sessions: three fat-calls today and she greets you cold, three nickname-calls and she greets you warm, coming back after half an hour earns "I was not waiting for you", and the first few meetings she is shy - so the counters reset each local midnight and are stored in a state file the plugin owns. After ten quiet minutes she drifts to a corner, which is visual only and never moves the position you chose. The eight PNGs are bundled with the plugin and served by the plugin itself, so there are no third-party requests. NOTE - the artwork carries an OleapCrow mark and was supplied by the repository owner, the eight skins are recolourings of that one drawing, and the plugin has not been installed against a live DSH host.

Free OpenCode Zen models in DeepSeek Harness, anonymous by default with an optional Zen key. The catalogue is read from Zen's official model list at runtime, and anonymous requests are adapted to the free tier's request checks, documented with dated measurements.

Splits New Session in the DSH web sidebar into two modes: a 日常聊天 row opens a session on the `daily` agent preset the plugin installs into the harness home (persona, web search and fetch, ask-user and compaction — no files, shell, plan mode or subagents), inside its own daily-chat workspace whose sidebar region lists only those chats, while 开始工作 keeps the shipped coding agent; the built-in New Session button is hidden and every other New Session entry point follows the active mode, which is remembered in localStorage.

Sidebar session search that builds its own index instead of reusing DSH's full-text one: title to content toggle in one entry, results grouped per session with the strongest snippet and user/reply/tool tags, plus watermark-based incremental sync, archive-driven pruning of archived sessions, and a shadow rebuild that never blocks the live index.

A governed swarm of six specialist DSH agents — orchestrator, planner, knowledge-base bridge, developer and two reviewers — turns a requirement into a strict phase pipeline where every delivery must prove itself with structured evidence before the next phase may start; reviewers are read-only, code merges only after a review pass, and an append-only event log gives full replay and audit on a live kanban board. Its design draws inspiration from the Hermes Agent kanban.

Engineering workflow agent preset for dsh: five gated phases (requirements clarification, plan approval, TDD, parallel subagents, verified finishing) with six workflow skills adapted from obra/superpowers.

Data asset orchestration engine that chains suite tools into preset pipelines (masking, cleaning, inventory, packaging, attestation, AI dataset health check, government inspection, circulation assessment), with incremental and scheduled processing.

Data lineage tracking tool, mapping the full lifecycle of data to meet source legality requirements.

Registers a `deepseek-web` provider that drives your own signed-in chat.deepseek.com account as an extra model in DSH, and also embeds the DeepSeek web app inside the DSH window: a right-sidebar tab, plus a draggable and resizable whale floating window whose position and size are remembered across restarts (the window follows the ball while you drag it). Sign-in is one-time and synchronized in both directions - signing in or out in the settings page or inside the panel updates the other side, so a restart does not ask again. The provider side needs no Open Platform API key: the sidebar footer lists your Web conversations, Fork to Workspace opens an independent Harness session that never writes back to the original conversation, native search stays on for the `default` model, and `/clean` is a session toggle that sends only the human text. Fork of y-wi/dsh-deepseek-web, kept working on current DSH 0.2.x (widened peer ranges, `ctx.settings.configure()` plus `.volatile()` config fields, renamed client icons, SSE errors surfaced as real errors instead of poisoning the session history). Installing it alongside the upstream dsh-deepseek-web is not supported: both register the same deepseek-web provider. Use only for personal convenience: reusing a web login from a third-party client may violate DeepSeek's terms of service and carries account risk (rate limiting, suspension, ban); the authors accept no responsibility for any consequences.

Old conversation is folded into short summaries by a side model before the window fills (on-disk ledger survives restarts and re-anchors after host compaction), so long sessions stop getting more expensive every turn — one real full-day session: 6 folds replaced 209 old messages and the live context stayed in the tens of thousands of tokens. The session model picks the model per subtask across six pools (economy/mechanical/main/hard/vision/review); or pick Auto and a small intent classifier routes each message itself, switching only past a confidence threshold to keep prompt caches warm. A three-line watermark ends in an automatic four-step handover (fork backup, handover doc, compact, wake) without losing in-flight subagents; /ctx-pause, /ctx-resume and /ctx-handover keep it manual when wanted. Optional Agent Teams mode adds teammates and a shared task board; /vision gives text-only models eyes via the vision pool; tiered verification sends bigger diffs to a tester plus an independent reviewer. Settings UI, READMEs and language preferences cover the same 11 languages. Bundles three skills: read-only MySQL/Redis verification, commit-message generation, and a requirements/design document convention.

Message-level full-text search across DSH sessions via an FTS5 trigram index (user / assistant / steering / tool with per-kind filters), deduplicated results across fork/continued sessions, read-only context preview with auto-scroll to the focused message, one-click jump to the real session, and incremental/full index rebuild with health check; zh/en i18n follows the Host locale service.

RSS/Atom subscription tools (list/add/remove/fetch/check/search/opml_import/opml_export/health) with cross-feed keyword search, cursor-based incremental fetch and OPML import/export, persisted to settings. A step-by-step first-run guide (3 steps) now opens inside its settings panel.

Honcho memory bridge: auto-syncs every conversation turn to a self-hosted Honcho service, with recall/search/remember/context/status tools, context injection on session start, and a visual settings panel.

Memory Lake as a persistent memory layer for dsh: memory_search, memory_remember, and memory_forget tools over the memorylake CLI, a session status line, and guided setup/diagnostic skills, sharing one ~/.memorylake identity and memory set with the Claude Code and Codex plugins.

Cross-session memory vault: remember / recall / forget tools, per-turn prompt injection, and a settings-page entry browser.

Real browser tools for DeepSeek Harness: browse and extract web content, fill forms, manage multiple tabs, and execute multi-step tasks, with incremental DOM, session isolation, screenshots, action-result checks, and archived evidence recall.

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.