[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72799":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":42,"readmeContent":43,"aiSummary":44,"trendingCount":16,"starSnapshotCount":16,"syncStatus":45,"lastSyncTime":46,"discoverSource":47},72799,"mcp-shrimp-task-manager","cjo4m06\u002Fmcp-shrimp-task-manager","cjo4m06","Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.","https:\u002F\u002Fcjo4m06.github.io\u002Fmcp-shrimp-task-manager\u002F",null,"JavaScript",2112,254,18,34,0,1,7,14,3,29.22,"MIT License",false,"main",true,[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"agent","ai","codeagent","coding-assistant","cursor-ai","cursorai","mcp","mcp-server","roocode","task-list","task-manager","tasks","thought-processes","windsurf","windsurf-ai","2026-06-12 02:03:08","[🇺🇸 English](README.md) | [🇩🇪 Deutsch](docs\u002Fde\u002FREADME.md) | [🇪🇸 Español](docs\u002Fes\u002FREADME.md) | [🇫🇷 Français](docs\u002Ffr\u002FREADME.md) | [🇮🇹 Italiano](docs\u002Fit\u002FREADME.md) | [🇮🇳 हिन्दी](docs\u002Fhi\u002FREADME.md) | [🇰🇷 한국어](docs\u002Fko\u002FREADME.md) | [🇧🇷 Português](docs\u002Fpt\u002FREADME.md) | [🇷🇺 Русский](docs\u002Fru\u002FREADME.md) | [🇨🇳 中文](docs\u002Fzh\u002FREADME.md)\n\n# MCP Shrimp Task Manager\n\n> 🦐 **Intelligent task management for AI-powered development** - Break down complex projects into manageable tasks, maintain context across sessions, and accelerate your development workflow.\n\n\u003Cdiv align=\"center\">\n  \n[![Shrimp Task Manager Demo](docs\u002Fyt.png)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Arzu0lV09so)\n\n**[Watch Demo Video](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Arzu0lV09so)** • **[Quick Start](#-quick-start)** • **[Documentation](#-documentation)**\n\n[![smithery badge](https:\u002F\u002Fsmithery.ai\u002Fbadge\u002F@cjo4m06\u002Fmcp-shrimp-task-manager)](https:\u002F\u002Fsmithery.ai\u002Fserver\u002F@cjo4m06\u002Fmcp-shrimp-task-manager)\n\u003Ca href=\"https:\u002F\u002Fglama.ai\u002Fmcp\u002Fservers\u002F@cjo4m06\u002Fmcp-shrimp-task-manager\">\u003Cimg width=\"380\" height=\"200\" src=\"https:\u002F\u002Fglama.ai\u002Fmcp\u002Fservers\u002F@cjo4m06\u002Fmcp-shrimp-task-manager\u002Fbadge\" alt=\"Shrimp Task Manager MCP server\" \u002F>\u003C\u002Fa>\n\n\u003C\u002Fdiv>\n\n## 🚀 Quick Start\n\n### Prerequisites\n- Node.js 18+ \n- npm or yarn\n- MCP-compatible AI client (Claude Code, etc.)\n\n### Installation\n\n#### Installing Claude Code\n\n**Windows 11 (with WSL2):**\n```bash\n# First, ensure WSL2 is installed (in PowerShell as Administrator)\nwsl --install\n\n# Enter Ubuntu\u002FWSL environment\nwsl -d Ubuntu\n\n# Install Claude Code globally\nnpm install -g @anthropic-ai\u002Fclaude-code\n\n# Start Claude Code\nclaude\n```\n\n**macOS\u002FLinux:**\n```bash\n# Install Claude Code globally\nnpm install -g @anthropic-ai\u002Fclaude-code\n\n# Start Claude Code\nclaude\n```\n\n#### Installing Shrimp Task Manager\n\n```bash\n# Clone the repository\ngit clone https:\u002F\u002Fgithub.com\u002Fcjo4m06\u002Fmcp-shrimp-task-manager.git\ncd mcp-shrimp-task-manager\n\n# Install dependencies\nnpm install\n\n# Build the project\nnpm run build\n```\n\n### Configure Claude Code\n\nCreate a `.mcp.json` file in your project directory:\n\n```json\n{\n  \"mcpServers\": {\n    \"shrimp-task-manager\": {\n      \"command\": \"node\",\n      \"args\": [\"\u002Fpath\u002Fto\u002Fmcp-shrimp-task-manager\u002Fdist\u002Findex.js\"],\n      \"env\": {\n        \"DATA_DIR\": \"\u002Fpath\u002Fto\u002Fyour\u002Fshrimp_data\",\n        \"TEMPLATES_USE\": \"en\",\n        \"ENABLE_GUI\": \"false\"\n      }\n    }\n  }\n}\n```\n\nExample configuration:\n```json\n{\n  \"mcpServers\": {\n    \"shrimp-task-manager\": {\n      \"command\": \"node\",\n      \"args\": [\"\u002Fhome\u002Ffire\u002Fclaude\u002Fmcp-shrimp-task-manager\u002Fdist\u002Findex.js\"],\n      \"env\": {\n        \"DATA_DIR\": \"\u002Fhome\u002Ffire\u002Fclaude\u002Fproject\u002Fshrimp_data\",\n        \"TEMPLATES_USE\": \"en\",\n        \"ENABLE_GUI\": \"false\"\n      }\n    }\n  }\n}\n```\n\nThen start Claude Code with your custom MCP configuration:\n\n```bash\nclaude --dangerously-skip-permissions --mcp-config .mcp.json\n```\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Other AI Clients\u003C\u002Fb>\u003C\u002Fsummary>\n\n**Cline (VS Code Extension)**: A VS Code extension for AI-assisted coding. Add to VS Code settings.json under `cline.mcpServers`\n\n**Claude Desktop**: Add to `~\u002FLibrary\u002FApplication Support\u002FClaude\u002Fclaude_desktop_config.json` (macOS) or `%APPDATA%\\Claude\\claude_desktop_config.json` (Windows)\n\u003C\u002Fdetails>\n\n### Start Using\n\n1. **Initialize your project**: `\"init project rules\"`\n2. **Plan a task**: `\"plan task: implement user authentication\"`\n3. **Execute tasks**: `\"execute task\"` or `\"continuous mode\"`\n\n## 💡 What is Shrimp?\n\nShrimp Task Manager is an MCP (Model Context Protocol) server that transforms how AI agents approach software development. Instead of losing context or repeating work, Shrimp provides:\n\n- **🧠 Persistent Memory**: Tasks and progress persist across sessions\n- **📋 Structured Workflows**: Guided processes for planning, execution, and verification\n- **🔄 Smart Decomposition**: Automatically breaks complex tasks into manageable subtasks\n- **🎯 Context Preservation**: Never lose your place, even with token limits\n\n## ✨ Core Features\n\n### Task Management\n- **Intelligent Planning**: Deep analysis of requirements before implementation\n- **Task Decomposition**: Break down large projects into atomic, testable units\n- **Dependency Tracking**: Automatic management of task relationships\n- **Progress Monitoring**: Real-time status tracking and updates\n\n### Advanced Capabilities\n- **🔬 Research Mode**: Systematic exploration of technologies and solutions\n- **🤖 Agent System**: Assign specialized AI agents to specific tasks ([Learn more](docs\u002Fagents.md))\n- **📏 Project Rules**: Define and maintain coding standards across your project\n- **💾 Task Memory**: Automatic backup and restoration of task history\n\n### Web Interfaces\n\n#### 🖥️ Task Viewer\nModern React interface for visual task management with drag-and-drop, real-time search, and multi-profile support.\n\n**Quick Setup:**\n```bash\ncd tools\u002Ftask-viewer\nnpm install\nnpm run start:all\n# Access at http:\u002F\u002Flocalhost:5173\n```\n\n[📖 Full Task Viewer Documentation](tools\u002Ftask-viewer\u002FREADME.md)\n\n\u003Ckbd>\u003Cimg src=\"tools\u002Ftask-viewer\u002Ftask-viewer-interface.png\" alt=\"Task Viewer Interface\" width=\"600\"\u002F>\u003C\u002Fkbd>\n\n#### 🌐 Web GUI\nOptional lightweight web interface for quick task overview.\n\nEnable in `.env`: `ENABLE_GUI=true`\n\n## 📚 Documentation\n\n- [📖 Full Documentation](docs\u002FREADME.md)\n- [🛠️ Available Tools](docs\u002Ftools.md)\n- [🤖 Agent Management](docs\u002Fagents.md)\n- [🎨 Prompt Customization](docs\u002Fen\u002Fprompt-customization.md)\n- [🔧 API Reference](docs\u002Fapi.md)\n\n## 🎯 Common Use Cases\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Feature Development\u003C\u002Fb>\u003C\u002Fsummary>\n\n```\nAgent: \"plan task: add user authentication with JWT\"\n# Agent analyzes codebase, creates subtasks\n\nAgent: \"execute task\"\n# Implements authentication step by step\n```\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Bug Fixing\u003C\u002Fb>\u003C\u002Fsummary>\n\n```\nAgent: \"plan task: fix memory leak in data processing\"\n# Agent researches issue, creates fix plan\n\nAgent: \"continuous mode\"\n# Executes all fix tasks automatically\n```\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Research & Learning\u003C\u002Fb>\u003C\u002Fsummary>\n\n```\nAgent: \"research: compare React vs Vue for this project\"\n# Systematic analysis with pros\u002Fcons\n\nAgent: \"plan task: migrate component to chosen framework\"\n# Creates migration plan based on research\n```\n\u003C\u002Fdetails>\n\n## 🛠️ Configuration\n\n### Environment Variables\n\nCreate a `.env` file:\n\n```bash\n# Required\nDATA_DIR=\u002Fpath\u002Fto\u002Fdata\u002Fstorage\n\n# Optional\nENABLE_GUI=true          # Enable web GUI\nWEB_PORT=3000           # Custom web port\nPROMPT_LANGUAGE=en      # Prompt language (en, zh, etc.)\n```\n\n### Available Commands\n\n| Command | Description |\n|---------|-------------|\n| `init project rules` | Initialize project standards |\n| `plan task [description]` | Create a task plan |\n| `execute task [id]` | Execute specific task |\n| `continuous mode` | Execute all tasks sequentially |\n| `list tasks` | Show all tasks |\n| `research [topic]` | Enter research mode |\n| `reflect task [id]` | Review and improve task |\n\n## 🤝 Contributing\n\nWe welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🌟 Credits\n\nCreated by [cjo4m06](https:\u002F\u002Fgithub.com\u002Fcjo4m06) and maintained by the community.\n\n---\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcjo4m06\u002Fmcp-shrimp-task-manager\">GitHub\u003C\u002Fa> •\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcjo4m06\u002Fmcp-shrimp-task-manager\u002Fissues\">Issues\u003C\u002Fa> •\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcjo4m06\u002Fmcp-shrimp-task-manager\u002Fdiscussions\">Discussions\u003C\u002Fa>\n\u003C\u002Fp>","Shrimp Task Manager 是一个专为AI代理设计的任务工具，强调思维链、反思和风格一致性。它能够将自然语言转换成结构化的开发任务，并支持依赖跟踪和迭代优化，使AI系统表现出类似开发人员的推理行为。项目采用JavaScript编写，具备强大的任务分解、上下文维护以及与多种AI客户端（如Claude Code）集成的能力。适用于需要高效管理和执行复杂软件开发项目的场景，特别是在利用AI辅助进行代码编写和项目管理时。",2,"2026-06-11 03:43:38","high_star"]