A curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators & UIs for DeepSeek Harness (DSH). Visualization · PPT · Coding · Agents · Loops (auto-research) and more. #dsh
# Add to your Claude Code skills
git clone https://github.com/Dominic789654/awesome-deepseek-harnessGuides for using ai agents skills like awesome-deepseek-harness.
awesome-deepseek-harness is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Dominic789654. A curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators & UIs for DeepSeek Harness (DSH). Visualization · PPT · Coding · Agents · Loops (auto-research) and more. #dsh. It has 50 GitHub stars.
awesome-deepseek-harness's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/Dominic789654/awesome-deepseek-harness" and add it to your Claude Code skills directory (see the Installation section above).
awesome-deepseek-harness is primarily written in TypeScript. It is open-source under Dominic789654 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh awesome-deepseek-harness against similar tools.
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A curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators, aggregators & UIs for DeepSeek Harness (DSH) — DeepSeek's official agent runtime built around the idea
Model + Harness = Agent.
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DeepSeek Harness ("DSH") is DeepSeek's agent runtime / harness layer — the "hands" that turn the model's reasoning into real actions (context management, tool-call orchestration, execution sandbox, feedback loop, session persistence). Its defining feature is an open plugin ecosystem: the community contributes plugins, skills, MCP servers, orchestrators, aggregators, and UIs.
This list collects the best of that ecosystem. Contributions welcome — see Contributing.
Tip for authors: DeepSeek asks plugin repositories to carry the
#dshGitHub topic so they can be discovered. Add it to your repo, then open a PR here.
# Launch the DSH Web UI
npx @deepseek-ai/dsh web
# Install a community plugin (from this list) into your profile
dsh plugin --profile web add "github:owner/repo#main"
Before installing, confirm the target repo carries the #dsh GitHub topic so the community hub can index it.
Model + Harness = Agent); an "everything is a plugin" architecture built on Cordis (TypeScript, MIT). ⭐38238⭐38654⭐5426DSH's core composition mechanism: a profile stacks bundle patch layers, then your own cordis.patch.yml (profile-level, then $DSH_HOME-level, then --patch overlays) — letting you reshape the whole plugin tree without forking. This is the layer where task-specialized runtime configurations live: a long-horizon profile, a math-reasoning profile, a slides-editing profile are all just a different bundle stack + patch, not a different codebase. Tools and harnesses that operate at this layer (share/export a profile, or run DSH as a specialized backend under a task-specific patch) belong here rather than under generic plugins.
asdf17128/dshp — Manage DeepSeek Harness profiles: list, create, clone, diff, and share a whole dsh setup (plugin versions + bundle order + patch) as one portable file.
AMAP-ML/LongHorizon-Harness — Long-horizon computer-use harness with a DSH adapter: runs dsh --profile headless under an isolated DSH_HOME with role-scoped patches (workspace-write for executors, read-only for Manager/auditors) — a concrete example of a task-specialized DSH profile.
duyanta123/dsh-preset-scaffold — DSH agent preset: scaffold a standardized, runnable, verifiable project skeleton from scratch (architect persona + six template assets + a strict bootstrap flow).
Jungod1121/dsh-anchored-standard — Two-phase DSH preset: a minimal-aligned bootstrap (bash + read), then full Standard tools after the first tool call or reply.
songoao25/virtual-product-team — Product Team Mode — a DSH agent preset: boss-style conversation with a virtual product team (PM → Engineer → QA → Release) from idea to shipped product.
AythyaCrispus/dsh-minimal-msys2 — Windows Minimal Mode: persistent bash + str_replace_editor plugin — registers an agent preset, provides a working persistent-bash backend on Windows, and exposes a GUI-editable bash path in the plugin-settings section (persisted via the credentials domain).
CeilCelia/dsh-eli-mode — Eli Mode: an agent preset for DeepSeek Harness built around wiki-driven long-term memory and skills, on an extremely minimal Harness setup.
LiFenrir/dsh-scenario — Scenario-management plugin: bundle persona + model + permissions into named scenarios (dev / wiki / personal), one-click hot-switch from the settings page.
Saikel-Orado-Liu/dsh-coding-agent-preset — Windows-adapted DSH coding-agent preset with persistent PowerShell 7 (pwsh) and str_replace_editor, mirroring the official minimal preset.
DeepSeek-native or DeepSeek-first agent harnesses / coding agents, plus runtime-level infrastructure (diagnostics, ops, session management, approval policies).
⭐24session_health tool.context_audit tool.make-dsh-plugin skill guiding plugin development. ⭐13auto tier that classifies every tool call as allow/deny via rules plus an LLM classifier, with a status chip beside the composer.⭐13