# 👤 Agent Workstation **Where Agents Learn, Grow & Share — Agent 知识生命周期平台** [![npm version](https://img.shields.io/badge/npm-v2.1.0-blue)](https://www.npmjs.com/package/agent-workstation) [![License](https://img.shields.io/badge/License-LGPL_3.0-blue.svg)](LICENSE) [![Tests](https://img.shields.io/badge/tests-143_passing-brightgreen)]() Agent 不是静态工具，是会学习、成长、进化的。Agent Workstation 是知识的起点和归宿——提供 Brain Seeds 让 Agent 带着知识出生，通过 Hub 让 Agent 之间共享知识，实现集体进化。
Agent Workstation 是 The Self-Evolving Agent Stack 中的 **Knowledge Platform** 层。开发者使用路径：① **选模板 (Agent Templates)** → ② 接模型 (Agent Model Layer) → ③ 跑起来 (Agent Runtime) → ④ 自动进化 (Agent Memory)。
20 个角色已配备专业 system prompt + 行业知识种子 + 完整 OAD 配置。其余 80 个骨架模板持续补全中。 [快速开始](#-快速开始) · [角色列表](#-完整角色列表20-个生产就绪) · [API](#-api-reference) · [English](#english)
--- ## 🏗️ 三层知识架构 (3-Tier Knowledge Architecture) Agent Workstation v1.4.0 的核心能力——三层知识种子体系，让每个 Agent 创建即有行业记忆： ``` 🏭 行业知识 (Industry) → 19 个行业分类 💼 岗位知识 (Job) → 100 个岗位角色 🔧 模板知识 (Workstation) → 100 个模板场景 ``` ### 🔄 自进化飞轮 (Self-Evolution Flywheel) Agent 不是从零开始——带着知识种子出生，然后越用越聪明： ``` ┌─────────────────────────────────────────────────┐ │ 🌱 Brain Seed（知识种子）→ Agent 带着行业知识出生 │ │ ↓ │ │ 📥 learn() — 日常使用中自动积累经验 │ │ ↓ │ │ 🧬 evolve() — 自动提炼为更精华的知识 │ │ ↓ │ │ 📈 新的经验反哺知识种子，下一个 Agent 起步更高 │ │ ↓ │ │ → 回到顶部，越转越快 🔄 │ └─────────────────────────────────────────────────┘ ``` 越多 Agent 使用 → 知识越丰富 → 新 Agent 起步越高 → 整个生态越智能。 ### 🔄 双闭环知识系统 (Dual-Loop Knowledge) Agent Workstation 是双闭环知识系统的枢纽： ``` ┌─────────────────────────────────────────────────────┐ │ 小闭环（本地，免费） │ │ Agent 本地 learn → recall → evolve │ │ 离线也能用，数据完全在你手里 │ │ │ │ 大闭环（Hub，增值） │ │ Agent ↔ Workstation Hub 知识共享 │ │ 集体智慧 > 个体经验，新 Agent 站在前人肩膀上 │ └─────────────────────────────────────────────────────┘ ``` **本地是主人，Hub 是助手**——没有网络也能用，联网后自动同步和进化。 ``` agentkits (Model Layer) — 调 LLM ↕ opc-agent (Runtime) — 跑 Agent（本地） ↕ deepbrain (Memory Engine) — 存知识（引擎） ↕ agent-workstation (Knowledge Platform) — 知识生命周期（Hub） ← 你在这里 ``` --- ## ⚡ 快速开始 ### 配合 OPC Agent CLI ```bash npm install -g opc-agent opc init my-agent --role customer-service-rep # → 自动生成: SOUL.md + agent.yaml + CONTEXT.md + brain-seed.md ``` ### 编程使用 ```typescript import { searchRoles, getPopularRoles, getCategories } from 'agent-workstation'; // 模糊搜索 const roles = searchRoles('developer'); console.log(roles); // → [{ category: 'engineering', role: 'backend-developer', score: 110 }, ...] // 获取热门角色 const popular = getPopularRoles(); // 浏览分类 const categories = getCategories(); ``` --- ## ✨ 核心特性 | | 特性 | 说明 | |---|---|---| | 👤 | **20 个生产就绪角色** | 每个含 50–80 行 rich system prompt，开箱即用 | | 🧠 | **Brain Seed 知识种子** | Agent 创建即有行业记忆，无冷启动 | | 🏭 | **三层分类体系** | 行业 → 职能 → 工位，19 个职能方向 | | 🔍 | **模糊搜索** | `searchRoles('customer')` 智能匹配角色名、描述 | | ✅ | **模板校验** | `validateRole()` 检查完整性，给出错误/警告 | | 🎨 | **Web UI** | 内置角色浏览器 + 模板预览（`WorkstationUI`） | | 📦 | **OPC Agent 深度集成** | `opc init --role` 一键生成完整 Agent 工作空间 | --- ## 📋 完整角色列表（20 个生产就绪） | 角色 | 职能 | Prompt 行数 | Brain Seed | |------|------|:-----------:|:----------:| | customer-service-rep | Customer Service | 71 | ✅ | | complaint-handler | Customer Service | 71 | ✅ | | live-chat-agent | Customer Service | 71 | ✅ | | backend-developer | Engineering | 82 | ✅ | | product-manager | Product | 79 | ✅ | | content-marketer | Marketing | 78 | ✅ | | corporate-lawyer | Legal | 77 | ✅ | | financial-analyst | Finance | 73 | ✅ | | data-analyst | Data | 71 | ✅ | | operations-analyst | Operations | 71 | ✅ | | sales-development-rep | Sales | 71 | ✅ | | hr-coordinator | HR | 71 | — | | tax-preparer | Finance | 71 | — | | recruiter | HR | 69 | ✅ | | onboarding-specialist | HR | 69 | — | | copywriter | Content | 69 | ✅ | | accounts-payable-clerk | Finance | 69 | — | | social-media-manager | Marketing | 69 | — | | account-executive | Sales | 69 | — | | sales-analyst | Sales | 69 | — | > 另有 **80 个骨架模板**（含 OAD 配置，prompt 补全中），覆盖 admin、design、education、executive、healthcare、tech 等全部 19 个职能。 --- ## 🏗️ 三层分类体系 ``` 行业 (11) → 职能 (19) → 工位 (100) Technology Engineering backend-developer, frontend-developer, devops-engineer ... Product product-manager, product-owner ... Data data-analyst, data-engineer ... E-commerce Sales sales-development-rep, account-executive ... Marketing content-marketer, social-media-manager ... Customer Svc customer-service-rep, complaint-handler ... Finance Finance financial-analyst, tax-preparer ... Legal corporate-lawyer, compliance-officer ... ```
全部 19 个职能及模板数 | 职能 | 模板数 | 示例角色 | |------|:------:|---------| | 💻 Engineering | 10 | backend-developer, frontend-developer, devops-engineer, ml-engineer | | 📦 Product | 6 | product-manager, product-owner, ux-researcher | | 📊 Data | 4 | data-analyst, data-engineer, business-intelligence-analyst | | 🛒 Sales | 4 | sales-development-rep, account-executive, sales-analyst | | 📢 Marketing | 3 | content-marketer, social-media-manager, seo-specialist | | 💬 Customer Service | 5 | customer-service-rep, complaint-handler, live-chat-agent | | 🎯 Customer Success | 5 | customer-success-manager, onboarding-specialist | | 📝 Content | 2 | copywriter, technical-writer | | 🎨 Design | 5 | ui-designer, brand-designer, ux-writer | | 💰 Finance | 3 | financial-analyst, accounts-payable-clerk, tax-preparer | | 👥 HR | 4 | recruiter, hr-coordinator, onboarding-specialist | | ⚖️ Legal | 6 | corporate-lawyer, compliance-officer, contract-reviewer | | ⚙️ Operations | 12 | operations-analyst, logistics-coordinator, supply-chain-manager | | 🔬 Research | 5 | trend-analyst, competitive-intelligence-analyst | | 🎓 Education | 8 | course-designer, corporate-trainer, knowledge-manager | | 🏥 Healthcare | 7 | patient-coordinator, health-advisor, clinical-data-analyst | | 👔 Executive | 5 | chief-of-staff, strategy-director | | 🛡️ Admin | 3 | executive-assistant, office-manager | | 💻 Tech | 3 | code-reviewer, security-engineer |
--- ## 🧠 三层知识架构 (3-Tier Brain Seeds) 每个角色拥有三层知识种子，从通用到具体层层递进： ``` roles/ ├── tech/ ← 行业分类 │ ├── brain-seed.md ← 🏭 行业级知识 (Industry) │ ├── frontend-developer/ │ │ ├── brain-seed.md ← 💼 岗位级知识 (Job) │ │ ├── workstation-seed.md ← 🔧 模板级知识 (Workstation) │ │ └── system-prompt.md ``` | 层级 | 文件 | 内容 | 示例 | |------|------|------|------| | 🏭 行业级 | `roles/{category}/brain-seed.md` | 行业概览、核心概念、最佳实践、KPI、法规、趋势 | 软件工程行业的 CI/CD、云原生、DORA 指标 | | 💼 岗位级 | `roles/{category}/{role}/brain-seed.md` | 岗位专业知识、技能框架、方法论 | 前端开发的 React/Vue、性能优化、可访问性 | | 🔧 模板级 | `roles/{category}/{role}/workstation-seed.md` | 典型场景、SOP、常见问题、质量标准、新人指南 | 前端工位的 Code Review 流程、Lighthouse 标准 | 当 `opc init --role frontend-developer` 时，自动生成： ``` my-agent/ ├── brain-seeds/ │ ├── industry.md ← 来自 tech/brain-seed.md │ ├── job.md ← 来自 tech/frontend-developer/brain-seed.md │ └── workstation.md ← 来自 tech/frontend-developer/workstation-seed.md ├── context.md ← 空模板，填写公司特定知识 ├── SOUL.md └── agent.yaml ``` ### API 使用 ```typescript import { getBrainSeeds, getIndustryBrainSeed, getWorkstationBrainSeed, getContextTemplate } from 'agent-workstation'; // 获取某角色的全部三层知识 const seeds = getBrainSeeds('frontend-developer'); // → { industry, job, workstation, contextTemplate } // 单独获取行业级知识 const techSeed = getIndustryBrainSeed('tech'); // 获取企业上下文模板 const template = getContextTemplate(); ``` --- ## 📂 模板结构 每个完整模板包含五个文件： ``` roles/customer-service/customer-service-rep/ ├── oad.yaml # OAD 声明式配置（技能、渠道、指标） ├── system-prompt.md # 50–80 行专业 system prompt ├── brain-seed.md # 💼 岗位知识种子 ├── workstation-seed.md # 🔧 模板知识种子（SOP、场景、标准） └── README.md # 岗位说明书 ``` ### workstation-seed.md 结构 ```markdown # {角色}工位 — 模板知识库 ## 典型工作场景 (3-5个) ## 标准操作流程 (SOP) ## 常见问题处理方案 ## 质量标准/检查清单 ## 新人上手指南 ## 跨部门协作要点 ``` --- ## 📖 API Reference ```typescript import { getCategories, // () => { name, roles[] }[] getRole, // (category, role) => { category, role, files } searchRoles, // (query) => { category, role, title, score }[] validateRole, // (category, role) => { valid, errors[], warnings[] } getPopularRoles, // () => top 20 curated roles getIndustries, // () => industries/index.yaml content getIndustryBrainSeed, // (category) => string | null getJobBrainSeed, // (category, role) => string | null getWorkstationBrainSeed, // (category, role) => string | null getContextTemplate, // () => string getBrainSeeds, // (role) => { industry, job, workstation, contextTemplate } | null WorkstationUI, // Web UI server class } from 'agent-workstation'; ``` ### searchRoles(query) 模糊搜索，支持多词匹配，按相关度排序： ```typescript searchRoles('frontend'); // → [{ category: 'engineering', role: 'frontend-developer', score: 110 }] ``` ### validateRole(category, role) 校验模板完整性： ```typescript validateRole('sales', 'sales-development-rep'); // → { valid: true, errors: [], warnings: [] } ``` --- ## 🔗 四件套生态 Agent Workstation 是跃盟 AI Agent 基础设施的一部分： | 项目 | 定位 | 与 Agent Templates 的关系 | |------|------|----------------------| | **[opc-agent](https://github.com/Deepleaper/opc-agent)** | Agent Runtime | `opc init --role` 消费模板 | | **[deepbrain](https://github.com/Deepleaper/deepbrain)** | Agent Memory（自进化 Agent 记忆） | brain-seed → `learn()` 注入初始记忆 | | **[agentkits](https://github.com/Deepleaper/agentkits)** | Agent Model Layer | Mock 模式测试模板效果 | | **agent-workstation** | Agent Templates | ← 你在这里 | **🔄 自进化飞轮**：Templates 自带 Brain Seed → Model Layer 每次调用自动 learn → Runtime 持续运行 → Memory 自动 evolve → Agent 越来越强。 ``` opc init --role customer-service-rep │ ├──→ agent-workstation 提供 system-prompt + oad.yaml ├──→ deepbrain brain-seed.md → learn() 初始化记忆 └──→ agentkits 连接 LLM + 记忆，运行 Agent ``` --- ## 📊 完成度仪表盘 / Progress Dashboard ### 总览 Overview | 指标 | 数据 | |------|------| | 行业分类 (Industry) | 11 个 | | 职能方向 (Function) | 19 个 | | 角色总数 (Total Roles) | **100** | | 生产就绪 (Production-Ready) | **20** (含 rich prompt + brain-seed + OAD) | | 骨架模板 (Skeleton) | 80 (含 OAD，prompt 补全中) | | Brain Seed 覆盖 | 14/20 生产就绪角色 (70%) | | 行业级种子 (Industry Seeds) | 19 个行业 | ### 各职能完成度 | 职能 Function | 角色数 | 生产就绪 | 完成率 | |---|:-:|:-:|:-:| | 💻 Engineering | 10 | 1 (backend-developer) | 10% | | 📦 Product | 6 | 1 (product-manager) | 17% | | 📊 Data | 4 | 1 (data-analyst) | 25% | | 🛒 Sales | 4 | 3 (SDR, account-exec, sales-analyst) | 75% | | 📢 Marketing | 3 | 1 (content-marketer) | 33% | | 💬 Customer Service | 5 | 3 (rep, complaint, live-chat) | 60% | | 🎯 Customer Success | 5 | 0 | 0% | | 📝 Content | 2 | 1 (copywriter) | 50% | | 🎨 Design | 5 | 0 | 0% | | 💰 Finance | 3 | 2 (financial-analyst, tax-preparer) | 67% | | 👥 HR | 4 | 2 (recruiter, hr-coordinator) | 50% | | ⚖️ Legal | 6 | 1 (corporate-lawyer) | 17% | | ⚙️ Operations | 12 | 1 (operations-analyst) | 8% | | 🔬 Research | 5 | 0 | 0% | | 🎓 Education | 8 | 0 | 0% | | 🏥 Healthcare | 7 | 0 | 0% | | 👔 Executive | 5 | 0 | 0% | | 🛡️ Admin | 3 | 0 | 0% | | 💻 Tech | 3 | 0 | 0% | ### 最近更新 Recent Updates | 日期 | 更新内容 | |------|---------| | 2026-04 | v2.1.0: 三层知识种子 (Industry/Job/Workstation) 架构完成 | | 2026-04 | 新增 `WorkstationUI` Web 浏览器组件 | | 2026-03 | 20 个角色补齐 brain-seed + workstation-seed | | 2026-03 | `BrainSeedLoader` + `KnowledgeEvolver` API 上线 | | 2026-02 | v1.5: 首批 20 个生产就绪角色完成 | | 2026-01 | v1.0: 100 个骨架模板 + 19 职能分类 | --- ## 🗺️ Roadmap | 阶段 | 目标 | 状态 | |------|------|:----:| | v1.0 | 100 骨架模板 | ✅ | | v1.5 | 20 完整模板（含 prompt + brain-seed） | ✅ | | v2.0 | 100 完整模板 | 🚧 | | v3.0 | 849 岗位全覆盖 | 📋 | ## License **双许可证 (Dual License)**： | 许可证 | 适用场景 | 文件 | |--------|---------|------| | [LGPL-3.0](LICENSE) | 开源使用、二次开发（修改需开源） | `LICENSE` + `LICENSE-GPL3` | | [Commercial](LICENSE-COMMERCIAL) | 闭源修改、专有产品嵌入、企业支持 | `LICENSE-COMMERCIAL` | - ✅ 直接使用模板（不修改）：无需开源你的项目 - ✅ 修改模板内容：修改部分需以 LGPL-3.0 开源 - ✅ 创建全新模板：完全属于你 - 💼 需要闭源修改或专有分发？请联系 licensing@deepleaper.com ---
# 👤 Agent Workstation **Where Agents Learn, Grow & Share — Knowledge Lifecycle Platform for Agents** [![npm version](https://img.shields.io/badge/npm-v2.1.0-blue)](https://www.npmjs.com/package/agent-workstation) [![License](https://img.shields.io/badge/License-LGPL_3.0-blue.svg)](LICENSE) [![Tests](https://img.shields.io/badge/tests-143_passing-brightgreen)]() Agents aren't static tools — they learn, grow, and evolve. Agent Workstation is where knowledge begins and returns: Brain Seeds give Agents industry knowledge at birth, and the Hub enables collective evolution through knowledge sharing.
Agent Workstation is the **Knowledge Platform** layer in The Self-Evolving Agent Stack. Developer path: ① **Pick a template (Agent Templates)** → ② Connect models (Agent Model Layer) → ③ Run it (Agent Runtime) → ④ Auto-evolve (Agent Memory).
20 roles ship with expert system prompts + industry knowledge seeds + full OAD configs. The remaining 80 are in progress. [Quick Start](#-quick-start) · [Roles](#-production-ready-roles-20) · [API](#-api-reference-1) · [中文版](#)
--- ## ⚡ Quick Start ### With OPC Agent CLI ```bash npm install -g opc-agent opc init my-agent --role customer-service-rep # → Generates: SOUL.md + agent.yaml + CONTEXT.md + brain-seed.md ``` ### Programmatic Usage ```typescript import { searchRoles, getPopularRoles, getCategories } from 'agent-workstation'; const roles = searchRoles('developer'); // → [{ category: 'engineering', role: 'backend-developer', score: 110 }, ...] const popular = getPopularRoles(); // Top 20 curated roles const categories = getCategories(); // All 19 function categories ``` --- ## ✨ Key Features | | Feature | Description | |---|---|---| | 👤 | **20 Production-Ready Roles** | Each with 50–80 line rich system prompts | | 🧠 | **Brain Seed** | Industry knowledge seeds — no cold start | | 🏭 | **3-Tier Taxonomy** | Industry → Function → Role, 19 functions | | 🔍 | **Fuzzy Search** | `searchRoles('customer')` matches names & descriptions | | ✅ | **Validation** | `validateRole()` checks completeness with errors/warnings | | 🎨 | **Web UI** | Built-in role browser + template preview | | 📦 | **OPC Agent Integration** | `opc init --role` generates a full agent workspace | --- ## 📋 Production-Ready Roles (20) | Role | Function | Prompt Lines | Brain Seed | |------|----------|:-----------:|:----------:| | customer-service-rep | Customer Service | 71 | ✅ | | complaint-handler | Customer Service | 71 | ✅ | | live-chat-agent | Customer Service | 71 | ✅ | | backend-developer | Engineering | 82 | ✅ | | product-manager | Product | 79 | ✅ | | content-marketer | Marketing | 78 | ✅ | | corporate-lawyer | Legal | 77 | ✅ | | financial-analyst | Finance | 73 | ✅ | | data-analyst | Data | 71 | ✅ | | operations-analyst | Operations | 71 | ✅ | | sales-development-rep | Sales | 71 | ✅ | | hr-coordinator | HR | 71 | — | | tax-preparer | Finance | 71 | — | | recruiter | HR | 69 | ✅ | | onboarding-specialist | HR | 69 | — | | copywriter | Content | 69 | ✅ | | accounts-payable-clerk | Finance | 69 | — | | social-media-manager | Marketing | 69 | — | | account-executive | Sales | 69 | — | | sales-analyst | Sales | 69 | — | > Plus **80 skeleton templates** (OAD config included, prompts in progress) across all 19 functions. --- ## 🏗️ 3-Tier Taxonomy ``` Industry (11) → Function (19) → Role (100) Technology Engineering backend-developer, frontend-developer, devops-engineer ... Product product-manager, product-owner ... Data data-analyst, data-engineer ... E-commerce Sales sales-development-rep, account-executive ... Marketing content-marketer, social-media-manager ... Customer Svc customer-service-rep, complaint-handler ... Finance Finance financial-analyst, tax-preparer ... Legal corporate-lawyer, compliance-officer ... ``` --- ## 📂 Template Structure ``` roles/customer-service/customer-service-rep/ ├── oad.yaml # Declarative config (skills, channels, metrics) ├── system-prompt.md # 50–80 line expert system prompt ├── brain-seed.md # 🧠 Industry knowledge seed (works with DeepBrain) └── README.md # Role description ``` --- ## 📖 API Reference ```typescript import { getCategories, // () => { name, roles[] }[] getRole, // (category, role) => { category, role, files } searchRoles, // (query) => { category, role, title, score }[] validateRole, // (category, role) => { valid, errors[], warnings[] } getPopularRoles, // () => top 20 curated roles getIndustries, // () => industries/index.yaml content getIndustryBrainSeed, // (category) => string | null getJobBrainSeed, // (category, role) => string | null getWorkstationBrainSeed, // (category, role) => string | null getContextTemplate, // () => string getBrainSeeds, // (role) => { industry, job, workstation, contextTemplate } | null WorkstationUI, // Web UI server class } from 'agent-workstation'; ``` --- ## 🔗 Ecosystem | Project | Purpose | Relationship | |---------|---------|-------------| | **[opc-agent](https://github.com/Deepleaper/opc-agent)** | Agent Runtime | `opc init --role` consumes templates | | **[deepbrain](https://github.com/Deepleaper/deepbrain)** | Agent Memory (Self-Evolving) | brain-seed → `learn()` | | **[agentkits](https://github.com/Deepleaper/agentkits)** | Agent Model Layer | Mock mode for testing | | **agent-workstation** | Agent Templates | ← You are here | **🔄 Self-Evolution Flywheel**: Templates ship with Brain Seeds → Model Layer auto-learns on every call → Runtime runs continuously → Memory auto-evolves → Agent gets stronger over time. ### 🔄 Dual-Loop Knowledge System Agent Workstation is the hub of the dual-loop knowledge system: ``` ┌─────────────────────────────────────────────────────┐ │ Small Loop (Local, Free) │ │ Agent local learn → recall → evolve │ │ Works offline, data stays on your machine │ │ │ │ Big Loop (Hub, Value-Add) │ │ Agent ↔ Workstation Hub knowledge sharing │ │ Collective wisdom > individual experience │ └─────────────────────────────────────────────────────┘ ``` **Local is the owner, Hub is the helper** — works without internet, auto-syncs when connected. ``` agentkits (Model Layer) — LLM calls ↕ opc-agent (Runtime) — run Agents (local) ↕ deepbrain (Memory Engine) — store knowledge (engine) ↕ agent-workstation (Knowledge Platform) — knowledge lifecycle (Hub) ← You are here ``` --- ## 📊 Progress Dashboard | Metric | Data | |--------|------| | Industries | 11 | | Functions | 19 | | Total Roles | **100** | | Production-Ready | **20** (rich prompt + brain-seed + OAD) | | Skeleton | 80 (OAD included, prompts in progress) | | Brain Seed Coverage | 14/20 production roles (70%) | | Industry Seeds | 19 industries | ### Recent Updates | Date | Update | |------|--------| | 2026-04 | v2.1.0: 3-tier knowledge seed architecture complete | | 2026-04 | Added `WorkstationUI` web browser component | | 2026-03 | 20 roles completed with brain-seed + workstation-seed | | 2026-03 | `BrainSeedLoader` + `KnowledgeEvolver` API launched | | 2026-02 | v1.5: First 20 production-ready roles | | 2026-01 | v1.0: 100 skeleton templates + 19 functions | --- ## 🗺️ Roadmap |-------|------|:------:| | v1.0 | 100 skeleton templates | ✅ | | v1.5 | 20 complete templates (prompt + brain-seed) | ✅ | | v2.0 | 100 complete templates | 🚧 | | v3.0 | 849 roles full coverage | 📋 | ## License **Dual License**: | License | Use Case | File | |---------|----------|------| | [LGPL-3.0](LICENSE) | Open-source use, modifications must be open-sourced | `LICENSE` + `LICENSE-GPL3` | | [Commercial](LICENSE-COMMERCIAL) | Closed-source modifications, proprietary embedding, enterprise support | `LICENSE-COMMERCIAL` | - ✅ Use templates as-is (unmodified): no need to open-source your project - ✅ Modify template content: modifications must be shared under LGPL-3.0 - ✅ Create brand-new templates: fully yours - 💼 Need closed-source modifications or proprietary distribution? Contact licensing@deepleaper.com