autonomous-data-manager
0
The AI Autonomous Data Manager is designed to give AI agents autonomous control over structured data, supporting persistent memory and data management across sessions. It features automatic schema validation and can operate in different modes for flexibility.
Overview
The AI Autonomous Data Manager is a data management system that allows AI agents to autonomously control dynamically structured data collections. It features AI-driven collection creation, schema validation, CRUD operations, and persistent data storage across sessions. The system supports both STDIO and SSE modes, enabling agents to maintain knowledge bases, organize content, and more. Users can monitor data via a web interface or the MCP Inspector tool.
Features
- AI-driven collection creation
- Autonomous CRUD operations
- Persistent data storage
- Supports STDIO and SSE modes
Usage
- Start MongoDB using
docker-compose upor your own Mongo instance - Run server and use the web interface or tools for data management
Running Modes
- STDIO Mode: Requires environment setup and script configuration
- SSE Mode: Has some stability issues, improvements are recommended
Setting up
- Install Node and NPM
- Run
npm install - Use NPM scripts to start or develop the app