DeepSeek-Harness-for-VS-Code
NEXTINDIE
DeepSeek Harness for VS Code: @dsh chat participant, sidebar & standalone chat, plan mode, goals, subagents, turn-level Git rollback, workspaces/jobs/settings panels, 13-language UI.
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。
71 个项目,匹配「mod」
NEXTINDIE
DeepSeek Harness for VS Code: @dsh chat participant, sidebar & standalone chat, plan mode, goals, subagents, turn-level Git rollback, workspaces/jobs/settings panels, 13-language UI.
PerryLink
Claude Code outputStyles for DeepSeek Harness - session-scoped, durable, runtime-switchable model output styles (/style command, output_style storage domain, systemPrompt injection)
zimodzh
An Agent Skills skill for developing DeepSeek Harness (DSH) plugins(开发 DSH 插件的 Agent Skill)——插件/服务/事件/工具/LLM 适配器/打包安装的标准。Works with Claude Code, Codex, DSH, VS Code Copilot & any compatible agent.
evoelsewhere
Evoflux is an open-source, local-first workspace where AI agents build software, conduct deep research, automate browser tasks, and collaborate in parallel. Connect any model, keep control of your workspace and data, and take complex work from idea to completion—all in one place.
k-ying
DeepSeek Harness 内嵌 VSCode 编辑器插件:嵌入完整 code-server,agent 写文件时自动弹出红绿 diff 跟随(edit sync / file locking / follow mode)
BOWLUNA
Edit a DeepSeek Harness (dsh) custom mode: system prompt, base mode, and plugin switches.
dat-lequoc
Kiro provider for DeepSeek Harness with Builder ID login, live model discovery, and reasoning effort controls
grunmin
Enhanced ACP (Agent Client Protocol) server for DeepSeek Harness (dsh) — drop-in bridge for the Zed editor: block-level streaming, usage/stat telemetry, model & reasoning-effort switching, permission presets, session resume & archive. Install: dsh plugin add
jarvis-intelligence
Public distribution surface for jarvis — local-first code intelligence MCP server (SCIP navigation + Zoekt search). Installer, Claude Code / Codex / Cursor plugins, and prebuilt binaries.
PerryLink
Laya decision engine as a first-class Cordis service and model-visible tools for DeepSeek Harness.
TH060419
GatherThread 共序:本地 AI 编程 Agent 多人联机协作、实时共享上下文。Self-hostable collaboration for local AI coding agents, Codex Desktop connector & DeepSeek Harness plugin.
dhb861832993-star
PBR 3D model preview plugin for DeepSeek Harness — GLB/GLTF game art with textures, material channel inspector, orbit controls. pbr3d fence + pbr_render tool.
xiaosu19
Codex, adaptive Codex PTC, and optional Codex Harness agent presets for DeepSeek Harness, with published benchmarks
yoke233
Prime Agent-inspired persistent RLM control plane for DeepSeek Harness Code Mode
KannaKuron
PTC 模式基础上的创造模式:DSH 插件,合成 Code Mode 工具编排 + 自引用 Cordis 工具与 preset 创作指导,物化为 'ptc-cordis' 用户 preset
liangyou09
AI-native terminal & SSH client — Harness launches DeepSeek / CodEx / Claude agents on PowerShell 7 in TUI or embedded Web UI, plus SFTP, serial/Telnet and a built-in MCP server.
morluto
Contribution research for agents: check repository guidance, related work, code context, and validation before writing a patch.
AmethystLuna
AI 编程助手声明核查插件:状态机、协议、数据模型与并发声称的可执行逻辑原语验证(代价、概率、期限、组合、UML 审查、前后回归、导出),含 dsh 原生工具与 Agent Skills。 | Claim verification for AI coding agents — executable logic-primitive checks for state machines, data models and concurrency: cost, probability, deadlines, composition, UML review, before/after regression, export. Native dsh tools + Agent Skills.
Leawind
一个面向 Minecraft 模组开发的 DeepSeek Harness Agent 预设
adithyanraj03
A DeepSeek Harness plugin that puts graft — a prebuilt graph of every symbol, its file:line span, and who calls what — in front of both you and the model.
cyanseek
Deterministic fault injection and autonomous resilience tests for DeepSeek Harness tools
Leeaoyin
Structured, reusable skill modules for AI coding agents — covering engineering workflows, reliability evaluation, and production readiness.
allmodels-io
Real-time voice input and spoken answer summaries for DeepSeek Harness.
leeyoung1
DeepSeek Harness advisor plugin: pair a fast executor with a stronger reviewer model