Plugins

Select text in a committed DSH response to open an independent, persistent, read-only multi-turn Topic bound to source-session evidence and project files while the source Agent keeps running.

Dual-brain Chrome automation: registers the browserpaw skill and browserpaw_session tool to connect with the local BrowserPaw host (127.0.0.1:12306 via bridge-token), driving Chrome without losing logins.

SkillRoute by JEStats: skill routing for DeepSeek Harness agents.

Connects DeepSeek Harness to Multisim MCP for circuit generation, simulation, diagnostics, design optimization, and experiment report export.

DeepSeek Harness (dsh) bundle wiring SkillRoute's skill router into your agents.

DeepSeek Harness (dsh) bundle wiring SkillRoute's skill router into your agents.

Tencent CodeBuddy model provider for DeepSeek Harness that signs in with browser OAuth instead of an API key, lists the CodeBuddy model catalog with the context, output, tool-calling, reasoning and image capabilities of each model, keeps multiple accounts with automatic failover to the next usable one, shows remaining quota in the composer with a token and credit usage panel, and completes automatable CodeBuddy growth tasks per account with an execution log. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-codebuddy`.

Long-term cross-session markdown memory with an LLM-Wiki structure and a SOUL.md persona, injected at session start (by default only after the first user message and only in the active session), plus remember/recall/consolidate/forget workflows, an embedded memory skill, pack/unpack migration tooling, and an idle-time first-person recall nudge that surfaces real memories in a companion voice. Also gives the store observability and upkeep it lacked: a per-file boot-block budget that keeps the index routing table from being truncated, automatic last_access stamping so salience decay actually works, a read-only memory health dashboard (size, freshness, lint-parity checks), a declarative index compiler (pages declare summary:, one command re-lines the index), an interactive memory graph (page links plus shared tags, draggable, wheel zoom), structured queries (tag/type/salience/hot/stale filters), cross-link suggestions for pages that have no relationship yet, and a `checkup` report that ends in a prioritised action list. The boot payload was also cut by ~23% by moving operational detail into the on-demand skill. Its settings section now carries its own navigation mark (a brain half wired to a node cluster, since the shell offers no icon slot to plugins) and a feedback entry that opens this repository. Requires DSH session format v4 (official DeepSeek Harness 0.1.7+): injected messages declare the producer-owned source kind plugin:memory. v0.11 added a bilingual settings panel whose copy and sidebar label follow DSH language setting (中文「记忆」/ English "Memory"); v0.12 added the shared cross-plugin speech floor, a context-sensitive tone section and a weekly growth recap; v0.13 declares its DSH compatibility via engines.dsh (official 0.2.1-rc.5 series; older hosts are refused by the gate), adds a "Review now" button (POST /api/memory/control, action growth-now) that sends one growth recap immediately while still respecting the speech floor, panel accessibility (aria labels, status and alert roles, focus-visible rings), and the public PROACTIVE-PROTOCOL.md. v0.14 adds per-session memory: a composer chip with a dropdown (this session / workspace default), the /memory on|off|status command, and a settings-panel switch all flip the same gate — off means no boot injection, no digest/recall nudges and no last_access stamping for that session (nothing is deleted); disabledWorkspaces lets whole projects default to off, and session choices persist for 7 days. v0.15 adds a Basic soul (quick forging) card: my name / what I call you / baseline persona, saved into a managed block inside SOUL.md (the rest of the file is left untouched) and marks BOOTSTRAP complete; existing chat-forged souls are echoed from the SOUL text, and the boot block now asks the agent to remind the user to forge first when no soul exists yet. v0.16 turns the memory graph into an interactive 3D sphere (Canvas, zero dependency): drag to rotate, wheel to zoom, drag nodes to arrange them in 3D, double-click empty space to reset, auto-spin (reduced-motion aware); hover or click a node to instantly light up its neighbours (displacement+duration click threshold), and colours adapt to light/dark panel themes. v0.17 adds graph search (ranked matches, the camera flies to the hit and lights up its neighbours), Reveal in Finder / Copy path for any node (the host command is awaited, and the absolute path is copied automatically when reveal fails), Windows support (path-variable expansion, CRLF parsing with style-preserving writes, explorer /select, argv and exit-code handling, case-insensitive workspace matching), plus a much shorter README with real screenshots. v0.18 (issue #8) adds a boot snapshot mode: session freezes the boot block for the session so mid-session memory writes no longer invalidate the prompt-prefix cache (the volatile recent-log tail now rides in its own late context segment), with live kept as the default; double-clicking a memory node now opens the note in the DSH right sidebar (falling back to Finder/Explorer). v0.19 makes the plugin compatible with DSH 0.2.2-rc.2: the agent registry is read with agents.roots() when available and falls back to agents.list() on rc.2, and every agent/created listener is exception-guarded — on rc.2 an unguarded throw there rejects agent registration and no session can be created, so rc.2 users must upgrade to 0.19.2 or newer (0.19.5 is latest). Settings, dashboard and composer chip keep working on both the legacy and the rc.2 host APIs.

A Honkai: Star Rail "Firefly" theme with wallpaper/video backgrounds, firefly-green neon palette, transformation boot animation, ambient particles, BGM, typewriter SFX, and context-aware emote easter eggs.

Claude Code-inspired Auto Memory meets Codex-inspired Session consolidation, bringing simple, transparent, and context-efficient long-term memory to DeepSeek Harness.

Manage MCP servers and skills from a panel in the DSH sidebar: edit rows in the profile or global cordis.patch.yml, toggle them, check whether an HTTP server answers, scan Claude Code / Codex / Cursor / Gemini configs and import the servers they declare, and browse, create, edit, enable or delete skills by rewriting the user-invocable policy in SKILL.md.

China A-share financial data MCP server for the harness: 11 fin_data__* tools (quotes/K-lines/financials/calendar/special-data/announcements/EDB/reconcile/funds/indices) over THS free official REST (primary) + AKShare (fallback) + Wind (exclusive domains), with observable degradation, context-budget compression (result-side -72.2% measured), and an offline 10-year market-data lake; BYOK.

Project memory for dsh with native task-system integration: session todos and file reads auto-condense into cross-session task records (task↔file links), so workflows are switchable and resumable without re-contextualizing. Read-time memory (no upfront scan): extracts code symbols, summarizes docs, and cross-links docs↔symbols; optional TS semantic enhancement (auto on when TS installed). Experience notes auto-dedup. Every recall includes a traceable citation. Pure JS, single dep, works out of the box, silent operation, zero overhead.

Adds an optimize button beside the composer that analyzes and rewrites the prompt draft with SSE streaming, conversation-context awareness (template vs intent-polish strategies), an edit-continuity memory chain, undo, and model routing with fallback and a connectivity test.

Two-way Codex↔DSH bridge: skills from ~/.codex/skills, session import with workspace attach, live MCP mirroring of mcp_servers, and a Codex-side reverse MCP installer.

Match context windows for configured DSH models in one click, show capacity sources, and support selective bulk configuration, manual editing, and continuous synchronization.

Local-first code knowledge graph for coding agents: 10 MCP tools for layered context compression, DAG planning, incremental AST indexing, a cross-session skill flywheel, diagnostics, and graph artifact import/export.

Evolving memory infrastructure for DSH — evidence, time, context, and correction for long-term continuity — backed by a local Python 3.11+ memory service (fastapi/uvicorn/pydantic, started automatically as a python3 subprocess).

MCP bridge that lets ChatGPT Web create, view, continue, and supervise DeepSeek Harness agent sessions and goals while preserving DSH's native approval, sandbox, and workspace security model.

aginxbrowser plugin for DeepSeek Harness: fetch JS-rendered / Cloudflare-protected pages as clean markdown, aggregated web search (Baidu/Sogou/WeChat and 11 more), and indexed interactive sessions (click / type / scroll / eval / screenshot) against a host

DeepSeek Harness plugin for dsh-baton: adding it is the whole install. Switched on, it registers the dsh-baton MCP server for Claude Code and Codex, then takes the baton over a local, owner-only control socket, runs it in a specific session through the ho

Token optimization for DeepSeek Harness with searchable MCP tool discovery and lazy loading, configurable compaction controls and status reporting, tool-output reduction, long-text vision summarization, and opt-in conversation archiving with paginated retrieval.

Hosts QQ chats as DeepSeek Harness sessions: one QQ conversation maps to one DSH session that survives restarts, per-speaker tool permissions, three-layer memory with nightly consolidation, optional QQ-number binding that ties openids to QQ numbers so memories survive a bot or AppID change (binding is voluntary, never required, and never guessed from nicknames), four-section personas, context compaction, a ten-page sidebar panel, and a setup wizard that installs the Roost kernel and ai-chat plugin. Anyone in a paired QQ group can chat with the bot by default; only the owner gets the full local toolset.

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.