DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件，打造 DeepSeek Harness 生态的一站式目录。
32 个项目，匹配「tea」
loopx-project
A control plane with a durable state kernel for long-horizon agents and teams. Keep work moving and improving across sessions, with less human attention.
NanmiCoder
AgentTeams plugin for DeepSeek Harness
toolclub
Persistent multi-model workflow teams for DeepSeek Harness — dynamic lead planning, bounded DAGs, per-agent model/tools, Run Center and Token insights.
wowyuarm
dsh-agent-team gives DeepSeek Harness agents that don't reset: durable Members with their own memory, notes, and skills across sessions, rollovers, and restarts. You set the direction; agents coordinate through Channels and Tasks.
rootkiller6788
A pluginized microkernel architecture for building, orchestrating, and extending multi-agent systems in DeepSeek Harness.
PerryLink
RETIRED 2026-10-05 — the official DeepSeek Harness now ships native continuable subagents (subagent with backgroundMode: continuable, plus send_message / interrupt_agent / list_agents / job_*). Use those instead.
Co-Engram
Self-evolving team memory
yangdcm
Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out. 12 role subagents, 9 gated phases, shared-workspace artifacts, zero runtime dependencies.
Lee-Hilex
基于 MinerU 的 DeepSeek Harness 多模态文档解析插件：PDF/Word/PPT/Excel/HTML/图片 → 结构化 Markdown（免 Token 的 Agent 轻量解析 / 精准解析双 API 模式）
joekytc
Run multi-agent task pipelines on DSH like a team — plan, execute, review, and deliver code through a visual kanban with provable completion.
Ottohere-Mourn
Teach once, replay anywhere — harness-agnostic Teach-by-Demonstration engine (Record → Compile → Replay → Verify) with OpenMausBot and DeepSeek Harness integrations.
EternalNight996
🧑💼为 DeepSeek Harness Web 主窗口添加「工作角色」页签 + 「像素办公室」浮层：内置 508 张完整角色卡（The Agency 255 + agency-agents-zh 253），支持搜索 / 中英切换 / 分部分类选人；Canvas 2D 像素小人可站立、打字、踱步，浮层可拖动折叠缩放，选人即入列；闲聊台词可接 AI（内置或外部接口，20 字内中文）。npm 双面包 + cordis 组合补丁层（dsh.bundle.patch），一条命令安装，不改 dsh 源码，重启不丢。
MimicHunterZ
DSH plugin for agent-driven span compaction: compress chosen conversation spans into self-written checkpoints instead of the official head-anchored full-context sweep.
ishuowang
Native DSH rooms for connecting independent Sessions and provider-backed AI members—without bundled roles or scenarios.
PerryLink
RETIRED 2026-10-05 — the official DeepSeek Harness now ships the Agent Teams subsystem (dsh-experimental-agent-team). Use native Agent Teams, or a better-adopted alternative such as @nanmicoder/dsh-agent-teams.
Ready22Race
team-task for DeepSeek Harness (dsh): long-horizon multi-agent tasks — reviewed plan DAG, runtime-owned settlement, event-log truth, resident reconciler
azazo1
DSH host plugin: drop the pending prompts a fork inherits, so a fork child answers the prompt you send it instead of the source session's queue.
2507483326
一个增强deepseek harness 的 多成员协作插件
Mlte0907
TeamsX for DeepSeek Harness - durable multi-agent teams (captain, members, dependency-aware tasks, mailboxes) with an all-SVG activity panel
libinyam
DeepSeek Harness multi-expert bundle: expert teams as user-authorable data directories, each auto-registered as a routable skill (engine and roster separated).
wxxb789
Multi-agent orchestration and LLM model routing for DeepSeek Harness (DSH): semantic AI agent profiles, exact model routes, declarative teams and strategies, and bounded subagent delegation - a TypeScript plugin that adds no second runtime.
9931666
Crossfire (针锋) for DeepSeek Harness: put a settled result on the stand, let red-team experts attack it from chosen dimensions, and adjudicate every single defect yourself. The machine only finds flaws; the human always owns the verdict.
BOWLUNA
Multi-instance ComfyUI orchestration for DeepSeek Harness: give the agent a live view of every GPU in the farm and dispatch each generation job to the idlest instance instead of always hitting the busiest endpoint.
LeslieWylie
A project-agnostic multi-agent collaboration protocol for the DeepSeek Harness: loop guards that stop runaway agent loops, a six-field handoff format, risk-tiered review routing, and a fixed verify→commit→push→review→close sequence. One skill instead of the same rules copy-pasted into every agent's instructions.