Plugins

Persistent multi-model squads configured in Settings and selected in the Composer, with per-member model and tool policies. By default the lead Agent completes simple work itself and delegates only when the saved squad is needed; delegated work runs as a bounded DAG with optional review and repair. Run Center tracks retries and per-member tokens from official Harness usage events.

Adds a deepseek-web provider that uses chat.deepseek.com web models in DSH, with browser login capture, PoW request signing, SSE streaming, and prompting-based tool calls.

Complete reverse-skill pack (85 SKILL.md) as a DeepSeek Harness Cordis plugin: reverse engineering, authorized pentesting and security-research skill router.

PLUR memory for DeepSeek Harness — engrams injected straight into the prompt, no tool call required

Evolve skills, agents, prompts, code and plugins from inside DeepSeek Harness, with AgentDescent.

Single-bundle reverse-engineering and pentest security plugin: first-turn tool narrowing, domain routing, and 33 tools covering APK, web, native binary, protocol, malware and LLM samples — with unpacking, license-bypass and anti-analysis case playbooks, an H-CoT evaluation engine (semantic routing, /hcot command), a web workbench with a ledger-driven tool shelf, an on-disk case workflow (auto-persisted evidence chain, E-numbered validated findings, post-compaction resume), GitHub-based external tool discovery, and 361 on-demand reference docs.

在 dsh 里装上这个插件即可，无需登录、注册或填 API Key，就能使用包括 Muse Spark 1.3、MiMo V2.6 在内的前沿模型——完全免费，不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API key — the frontier models are just there, Muse Spark 1.3 and MiMo V2.6 among them. Completely free, with no usage cap.

Pi Host ABI compatibility engine: after one install, unmodified Pi extensions from npm mount as native DSH plugins with `dsh plugin add <pi-package>`. Verified end to end on stock DSH with pi-mcp-adapter (full MCP manager: OAuth, resources, prompts, MCP Apps, elicitation, sampling), @tintinweb/pi-subagents, pi-code, pi-hermes-memory and pi-background-tasks; `pi2dsh inspect` reports a package's compatibility before installing.

Multi-device remote access for DeepSeek Harness: continue an active session from your phone, tablet, browser, or another computer over an end-to-end encrypted channel (Noise IK + adaptive relay/WebRTC transport), with device authorization, ApiProxy-only remote capabilities, and read-only file preview via dsh-file-viewer — no shell, remote desktop, or write access.

Deterministic industry research reports for DeepSeek Harness — company and industry research flows produce structured, verifiable reports from staged evidence.

Project-scoped cross-session memory: seven-layer SQLite store (soul/user/project/fact/lesson/rules/topic) on node:sqlite, cache-friendly first-message injection plus per-message keyword hits, memory_remember/search/find_similar/read/update/project tools, and idle-window consolidation ("dream") with peak-hour suppression. Prompt texts ship as per-language data files — the framework supports multilingual users.

Native skin marketplace and lifecycle manager that discovers community skins, displays previews and compatibility status, and provides verified one-click or manual installation paths.

Long-term memory for DeepSeek Harness kept as plain markdown, one fact per file, readable in any editor. The `MEMORY.md` index has a hard 200-line / 25 KB cap enforced by `ctx.tools.guard()`: a write that would grow an over-cap index is denied, while a rewrite that shrinks it always passes, so an oversized index can be compacted step by step. The plugin never writes memories on its own — what is kept is decided by you and the model. The same store is also used by Claude Code, Codex, Kiro and OpenClaw.

图形学与3DGS、空间智能持续更新论文；AI Agent Skills for 3D Gaussian Splatting, NeRF & Computer Graphics Research. 800+ methods, 25categories, 12skills. OpenClaw / Claude Code compatible.

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

Model-driven context compression (Active Context Pruning) for DeepSeek Harness: the model decides when and what to compress.

Skills and optional MCP rows for eleven marketplaces: price comparison across Wildberries, Detsky Mir and Yandex Market, plus per-source search, product cards and reviews, including Ozon, Avito and AliExpress. The 14 skills load on install; both MCP rows stay disabled until RU_MARKETPLACE_MCP_DIR points at a local clone, which needs Python 3.12+ and uv.

Multi-machine remote workspace: manage many SSH hosts, pick a local or remote workspace in the native Add-workspace flow (system folder chooser / local path / remote dir browse), mirror a remote workspace to a real local folder, and operate it with rw_* tools. The picker is a centered modal that opens on the local tab and auto-fills `/` for remote paths, live-completing each directory level.

A whale-girl desktop pet for the DeepSeek Harness Web UI: pat-to-raise growth, work-state poses per tool type, 494 dialogue lines, 30 achievements, a growth diary, drag physics, theme sync and an accessibility mode. Chat-keyword sensing and API-balance care ship off and are opt-in; an optional weather mood calls Open-Meteo only after you name a city. No telemetry.

Non-commercial day/night whale-girl skin for official Harness rc.7: current no-viewport-frame layout, paired crystal-workshop and moon-tide scenes, chibi companions, translucent ornaments, and lightweight ambience.

Proactive associative memory for DSH: zero-prompt recall injected at a fixed boundary, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers and a PLAN whiteboard that survive context-window switches, water-level sensing with an auto-detected model window. Local Markdown storage, model-agnostic, zero deps; lexical 0GB floor with optional semantic tiers.

Adds a strip above the composer to recall sent-but-unread (steering) text messages before the model reads them.

Personal center for DeepSeek Harness: cross-session usage statistics, per-model cost estimation, global custom instructions, a global font-size adjuster, a data-driven desktop pet with bitmap & vector skins, and a conversation status overview, all local and offline.

Profile-wide DSH governance and routing with a Web Control Center for responsibility and evidence inspection, plus compaction, scoped semantic memory, safety continuity, and verified delivery; compatible with DSH 0.1.5-rc.1.