Plugins
Browse, filter, and install DeepSeek-Harness plugins.
174 plugins found
dsh-skills-anywhere
noteflowai/dsh-skills-anywhere
Live skill provider that adds skills from 60+ other agents' directories (Claude Code, Codex, Cursor, Gemini CLI, Copilot), Claude Code plugin marketplaces, and any git repository of skills to the dsh catalog without copying or symlinking; deduplicates, repairs frontmatter, renames name collisions, and ships a CLI (list, add, sync, doctor).
pptwise
liustack/pptwise
Stable, editable PPTX generation for AI agents — semantic IR in, native DrawingML out
unified-agent-memory
noelune/unified-agent-memory
One shared Obsidian vault for every agent: dependency-free Python core (search/promote/adjudicate/forget), vault template, dsh plugin (memory_search/show/submit/status).
dsh-plugin-session-import
huguangyu666/dsh-plugin-session-import
Import claude-code / codex / reasonix / zcode chat history into dsh sessions: workspace binding, tool calls preserved, oversized-session protection, zcode compaction restore.
SpecWave
cyning12/specwave
ICVO coding-standards kit for DeepSeek Harness (formerly dsh-coding-kit): a bundle plugin that registers tools on load and injects the standards only when apply_coding_standards is called, plus a P0 gate CLI (npx spec-wave) with G1-G7 process commands, skills install, host apply, and IDE-block refresh.
dsh-learning-mode (plugin)
chplus0/dsh-learning-mode
Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).
TMCRA-Agent-Memory (deepseek-harness-local)
reshuibuduo/tmcra-agent-memory
Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.
TMCRA-Agent-Memory
reshuibuduo/tmcra-agent-memory
Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.
dsh-claude-cli
katsos/dsh-claude-cli
LLM provider that runs the locally installed Claude Code CLI as the model backend, so requests go through an existing Claude subscription instead of a metered API key; native tool calls are bridged over MCP.
dsh-oh-my-claude
lcestou/dsh-oh-my-claude
Claude Code CLI as an LLM provider for dsh: live model list, per-session resume, approval relay, images, a memory/rewind/changes panel, and workspaces on remote SSH boxes.
Project-Memory-Agent (dsh-plugin)
lovedolove/project-memory-agent
DSH bundle plugin that mounts 8 Project Memory skills, bootstraps memory architecture on first use, and registers codebase-memory bridge tools.
logicprobe
amethystluna/logicprobe
Claim-verification skill that checks design documents and plans against codebase facts, escalating behavioral claims to executable logic-primitive verification for state machines and data models, with before/after regression, domain constraints, and concurrency risk mining.
deep-structural-analysis-skill
tetckx/deep-structural-analysis-skill
Multi-lens structural analysis skill: adversarial-first analysis across 16 lenses in 4 categories with 10 structural tools, confidence calibration, and fact-bound layered output.
dsh-cc-ecosystem
bcy2020/dsh-cc-ecosystem
Load Claude Code assets into DSH at runtime — skills, slash commands, rules, permission rules (deny/ask/allow), subagents and hooks from .claude/ plus Claude Code plugins (plugin.json / marketplace / skills / agents / MCP), via a memory-IR parse layer that keeps .claude as the source of truth with no writes back. Six installable packages: loader, skills, permissions, agents, hooks, mcp.
dsh-import-agents
chang-tong/dsh-import-agents
Import pi / opencode / codex / claude-code sessions, chat history, and agents into DeepSeek Harness — one-click Sync button, slash commands, session-start migration prompt
dsh-plugin-claude-bridge
yytbit/dsh-plugin-claude-bridge
Bridge Claude Code's memory, skills, and configuration into DeepSeek Harness — zero migration, full compatibility
deepseek-vl-support
limccn/deepseek-vl-support
Give DeepSeek (text-only) models vision in Claude Code, Codex, and Agent Plugins clients: describe images via any OpenAI-compatible vision endpoint.
screenshot-feedback-hook-mcp (dsh-plugin)
lkh081231/screenshot-feedback-hook-mcp
Adds a take screenshot tool plus two optional automatic capture points, putting the screen into the conversation as an image block; requires an image-capable model.
l123-harness
reatcat/l123-harness
Three-tier agent memory harness: L1 always-on CLAUDE.md, L2 index, L3 detail skeleton with templates, a gate that blocks writes to protected files without a one-time approval token, zero-judgement event logging, weekly distillation, and a TDD execution-loop skill.
mattpocock-skills-dsh-zh
gongyijie85/mattpocock-skills-dsh-zh
Matt Pocock's 25 skills fully translated to Chinese (technical terms kept in English with glosses).
dsh-learning-mode
chplus0/dsh-learning-mode
Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).
dsh-code
unlinearity/dsh-code
Claude-Code-style TUI bundle for DeepSeek Harness
AgentForge
lixiuxiu559/agentforge
One repository that installs as both a Claude Code plugin and a DSH plugin: six engineering skills (research, architecture scouting, implementation orchestration, three-axis diff review, complexity audit, mutation testing) plus one agentforge tool dispatching five subagents.
friendlilink
friendliai/friendlilink
FriendliAI serverless LLM adapter for DeepSeek Harness — OpenAI-compatible chat completions with dynamic model discovery and reasoning support