Xtended
What is Xtended?
Xtended is a structured memory platform for AI agents that enables the co-creation of schemas with typed fields, relationships, and SQL-like constraints, transforming unstructured content into a curated database for insights.
How to use Xtended?
To use Xtended, connect it to your AI agent and utilize natural language to create tables, store records, and query data. The agent can manage structured information that persists across sessions.
Key features of Xtended?
- Create tables with various typed fields (text, number, date, etc.)
- Full CRUD operations with filtering, sorting, and pagination
- Cross-table search with full-text and vector similarity options
- Organize data into spaces for different contexts
- Integrate with external platforms (PostHog, Outlook, custom APIs)
Use cases of Xtended?
- Building CRM and contact management systems for AI agents
- Storing learnings and knowledge from conversations
- Project and task tracking with structured status fields
- Logging interactions and maintaining relationship context
- Querying analytics and external data sources
FAQ from Xtended?
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What types of data can I store? Xtended supports various data types including text, numbers, booleans, dates, and references between tables.
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Can multiple agents access the same data? Yes, data stored in Xtended is accessible to any agent connected to your account, allowing for shared context across tools.
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How do I query stored data? You can use natural language requests, such as "show me all contacts with status interested," and the agent will translate this into structured queries automatically.
Server Config
{
"mcpServers": {
"xtended": {
"url": "https://mcp.xtended.dev/sse"
}
}
}