Plugins

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.

DeepSeek Harness Default System Prompt Management Plugin: Browse, search, and override the final system prompt assembled into each session round within the Web GUI "Settings".

Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。

Session-aware sandbox escalation compatibility plugin for DeepSeek Harness/DSH第三方模型会话沙箱升级兼容插件

DeepSeek Harness bundle registering one skill that turns long-form production (academic papers, industry analysis, business commentary) into a 9-role pipeline: T1 literature / T2 data / T3 case scouts running in parallel, T4 analyst, T5 writer, T6 critical companion, T7 auditor, T8 finalizer run by the coordinator, T9 peer reviewer — across 6 phases with triangular evidence verification, a 26-check M-gate (25 scripted checks plus one human checkpoint), a G0-G16 audit including a Chinese AI-trace gate, peer-review scoring with journal matching, and 4 human checkpoints. Installs with `dsh plugin add lunheng-article-pipeline` (package.json#dsh.bundle.patch plus a lib/index.js entry that registers the skill); ships role cards for T1-T9, templates and 36 zero-dependency verification scripts, with five-language READMEs.

DeepSeek Harness port of Claude Code Game Studios (CCGS v1.1.2, MIT): 76 skills, 49 agents, hook bridge.

Native interactive answers, editable cards and on-demand UI skills for DSH.

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.

While vibe coding, save an answer you may need later, use Side Chat for a question that suddenly comes up, or open a related conversation for deeper work without losing focus on the current task.

MCP server manager for DeepSeek Harness: add, edit, enable/disable, restart and delete MCP servers from Settings → MCP 管理, with JSON export/import, four mcp_manager_* model tools and an HTTP API; install via npx, npm or cross-platform scripts.

Role-based LLM retry & fallback strategies.

Free model provider plugin for DSH with 20+ models including Gemini, MiMo, GLM, etc.

Continual self-evolution: versioned, auditable, rollback-safe harness state (prompts, memory, skills, subagent specs) refined from session trajectories, with review gates and hot-reloaded skills.

Disciplined engineering workflow system for AI coding agents: planning, TDD, auto-fix loops, codebase knowledge graphs, and multi-agent wave execution. Needs codebase-memory-mcp (pip install "codebase-memory-mcp>=0.10.8,<0.11.0"); /scan stops without it.

Full-screen terminal client for DeepSeek Harness built on pi-tui: session replay/resume, streaming responses, collapsible tool cards, in-terminal approvals and questions, model/preset/permission/plan/goal management, shell mode, and a trajectory ledger.

Second model passively reviews each turn and injects notes.

Injects one system-prompt section so the agent's chain-of-thought, planning and tool-invocation reasoning stay in Simplified Chinese. Zero external dependencies - clone and link-install from any local directory, no npm build or publish required.

Pair a second model that passively reviews each turn and injects notes.

dsh · dsh-plugin · deepseek · deepseek-harness · deepseek-harness-plugin · ai-companion · desktop-pet · character-card · local-first · privacy · jingling · 鲸灵

Galgame generator: give it a script document plus character/background/BGM/animation assets in the workspace (img_human/, img_bg/, audio/, img_cg/) and it builds a playable visual-novel web page with configurable save slots (`[存档 N]`, default 9), speaker-following sprites with multi-pose variant switching (`[表情]`), opening/ending/CG animations (`[op]`/`[ed]`/`[cg]`), BGM play/stop/volume control, and if-line branching.

Role-based LLM retry & fallback strategies.

Role-based LLM retry/fallback strategy.

Port of ponytail: an always-on lazy-senior-developer coding persona with intensity levels, persistence of the default level, and review, audit, debt, gain and help skills for DeepSeek Harness.

Automatic context compression for DeepSeek Harness: compresses tool outputs before they reach the model and keeps every lossy compression reversible via CCR retrieval tools.