DeerFlow 2.0 (SuperAgent Harness) as a DeepSeek Harness (dsh) plugin — a Lead Agent that decomposes tasks into sub-tasks and dispatches them to pluggable skills (research, data-analysis, slide, web, image, video) with web search/crawl, sandboxed Python, reliability middleware, and cross-session memory, packaged per the deepseek-harness plugin spec.
Bridge the official computer-use engine (@oai/sky) into DeepSeek Harness as native tools: enumerate apps and windows, capture window screenshots that work when the window is occluded, read the accessibility tree, and perform real input (click, type, key combos, scroll, drag) in Windows GUI apps.
Superpowers for the DeepSeek Harness: registers the Superpowers skills as a dsh skill catalog and injects the using-superpowers bootstrap into the system prompt.
Temporary fix for the DSH 0.1.7 Windows ACL sandbox failing on non-system-drive workspaces (grantWrite / SetNamedSecurityInfoW Win32 5) — restores workspace-write commands without touching any system ACL.
Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:masknull/dsh-acl-sandbox-patch
Enhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)
Third-party, complete DeepSeek Harness agent over the Agent Client Protocol (ACP) — a superset of the official automation-only @deepseek-ai/dsh-acp: streaming, tool calls, sessions, slash commands, agent presets, config options. npx one-command, offline archive, works with Zed / VS Code ACP / Claude Code.
Inject Context for DeepSeek Harness (DSH): persist your own context entries and inject them as a standalone 'Remember:' row — right after the system prompt, before your message — per turn or once per session (per-entry 'Every turn' switch). Simple/Advanced datasets, native Settings editor, standalone manager page.
Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:polohot/dsh-adrian-inject-context
dsh plugin bundle porting the rpiv advisor subsystem: an on-demand zero-parameter advisor() tool that forwards the full session to a separately-configured reviewer model and returns a plan, correction, or stop signal.
Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NexusAgentX/dsh-advisor
Expert market inside DeepSeek Harness — browse expert cards, install one as a user agent preset, then chat in a session on that preset. · DSH 专家市场:逛一逛,点一下,装好,开聊。
Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pbwheel/dsh-agency-market
Find the right plugin, then get started
Search by task
Use a feature keyword or category, then sort by recent updates or GitHub stars.
Explore capabilities
Read the description, AI analysis and original README to understand what a plugin does.
Check and install
Review compatibility, dependency ranges and instructions, then copy the available install command.
Questions about DSH Hub
What is DSH Hub?
DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
Does inclusion mean a plugin is tested and compatible?
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
How do I install a plugin?
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.