notnative

What This Skill Does

Notnative is an essential integration layer for the OpenClaw ecosystem, acting as the primary hub for persistent memory, task management, calendar coordination, and advanced utility execution. By connecting to a local or remote Notnative MCP (Model Context Protocol) instance via WebSocket, this skill empowers the AI agent to maintain continuity across sessions. It transforms a standard chat interface into a personalized assistant that remembers user preferences, allergies, project context, and historical interactions through its memory management suite. Furthermore, it bridges the gap between digital organization and execution by providing direct interfaces for note-taking, Python script execution, and task management, effectively turning the AI into a powerful workspace engine.

Installation

To integrate Notnative into your OpenClaw environment, ensure you have the required MCP server instance running. Execute the following command in your terminal: clawhub install openclaw/skills/skills/k4ditano/notnative Once installed, verify the connection status via the node scripts/mcp-client.js list command to ensure the agent has successfully established the WebSocket link to your backend.

Use Cases

• Long-term Knowledge Management: Storing and retrieving nuanced user preferences, such as professional background context, communication styles, or specific project constraints, ensuring the AI behaves consistently over weeks of interaction.
• Workflow Automation: Managing daily tasks and calendar events directly within the chat interface, allowing for seamless scheduling and follow-up reminders.
• Integrated Development: Running ad-hoc Python scripts to solve data problems or perform quick calculations without leaving the current conversation context.
• Dynamic Note Retrieval: Semantic searching through personal notes or documentation repositories to synthesize information during complex research tasks.

Example Prompts

1. "I am strictly vegan. Please keep this in mind for all future dining recommendations and grocery lists, and store it in your memory."
2. "Search my notes for the project plan regarding the migration update, then summarize the key deadlines for me."
3. "Run a Python script to calculate the average of these values: [12, 45, 67, 23] and save the result to my task list for tomorrow."

Tips & Limitations

• Memory Priority: Always utilize memory_store for any piece of information the user treats as a 'fact' or 'preference'. The quality of your AI experience depends entirely on the richness of the data you feed the memory system.
• Security: Because this skill connects to a local instance for file and code operations, ensure your local Notnative server is configured with appropriate access controls, especially when using it on shared or public networks.
• Context Hygiene: Periodically use memory_forget to prune outdated information, keeping your persistent memory relevant and accurate to your current life circumstances.