v0.5.1 · Apache-2.0
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).
v0.2.19 · MIT
General-purpose MCP connector, connection manager, plugin extension, and integration marketplace for DeepSeek Harness, initiated and maintained by Qichacha/QCC.
v0.1.10 · MIT
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
v0.5.8 · MIT
DSH plugin: connect to MCP servers, discover tools, and register them for direct model invocation with retry logic and statistics
v4.2.0 · MIT
Enables LLM to use a cli environment.
— · Apache-2.0
Give any AI agent the ability to code
v0.25.1 · no license
嘉立创EDA专业版(EasyEDA Pro)自动化:给 AI harness 装上画板的「手」—— 一套 typed 原理图/PCB 动作,CLI / Agent Skill / stdio MCP 三形态融合接入。承接嘉立创「不以卖板赚钱,以培养中国工程师为己任」 | EasyEDA Pro automation: the hands of your AI harness — typed schematic/PCB actions via CLI, Agent Skill and stdio MCP.
v0.1.53 · MIT
DeepSeek Harness (DSH) backup & restore plugin — export, import, migrate and sync your complete DSH configuration, plugins, MCP servers, skills and workspace. One-click migration to another machine.
v0.4.0 · MIT
Open-source quantum Agent workspace with a desktop client, Web UI, messaging, Qiskit/MCP tools, and scientific validation
v1.3.5 · MIT
The ultimate 2-way bridge between OpenAI Codex and DSH: bidirectional chat sync, live Skills mount & auto MCP mirroring.
v1.7.3 · MIT
Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.
v0.12.1 · MIT
Migrate Claude Code setup into DeepSeek Harness. Import skills, commands, agents, hooks, permission rules, and MCP config. Codex and OpenCode supported.
v1.0.0 · MIT
AI skills大全 mcp ai知识库 Agent 全维度 AI 资源百科,DSH插件 收录大模型、智能 Agent、RAG 检索增强、多模态、MLOps、AI 应用工具、AI面试集、Vibe coding 大全、零基础学习路线,持续更新前沿 AI 开源项目,开发者一站式 AI 导航库
— · MIT
Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it. Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 13 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
— · Apache-2.0
Open-source antivirus for AI agents: block risky tools, secret access, prompt injection, malicious packages, MCP servers, plugins, and skills at runtime.
v5.2.9 · MIT
Microi吾码 AI 开发 CLI 与多宿主 Plugin:服务器连接、Skills、MCP、V8 同步和低代码交付
v0.7.0 · MIT
Git-native slide format, Agent API, CLI, MCP server, and renderer
— · no license
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.
— · no license
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
— · no license
The complete collection of Kiro IDE configs, agents, skills, hooks, and MCP integrations for maximum productivity.
v0.1.0-rc.6 · MIT
DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge that lends the text-only harness vision and image generation.
v0.12.1 · no license
OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn
v0.2.5 · Apache-2.0
AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness.
v0.20.3 · MIT
Memory for coding agents — Claude Code, Codex, Cursor and 17 others. Indexes the sessions they already wrote to disk, including months from before you installed it, and recalls them in any of them. No LLM, no embeddings, one local Go binary.