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Exabase

The data layer for AI agents. Everything your agent needs to remember & reason.

Agents
FREE

Exabase is the data layer for AI agents. It gives your agents persistent memory, cloud storage, and semantic search so they can remember users, store files, and retrieve context across sessions. The Memory API is a self-organizing memory system that stores facts, preferences, an...

Exabase interface screenshot

Features

  • Main Feature

    Does the main thing

  • Fast

    Works quickly

  • Easy

    Simple to use

  • Flexible

    Adapts to you

  • Help

    Support when needed

FAQ

What is Exabase?

Exabase is the data layer for AI agents, providing persistent memory, cloud storage, and semantic search capabilities. It enables agents to remember users, store files, and retrieve context across sessions.

How does Exabase work?

Exabase uses three core APIs: the Memory API creates a self-organizing knowledge graph that stores facts and relationships, the Resources API provides cloud-native file storage with semantic search, and the Bases API creates isolated workspace instances with built-in memory and file management.

What are the main features of Exabase?

Exabase offers persistent memory with knowledge graph capabilities, cloud file storage with folders and tags, semantic search across all data, full CRUD operations, and isolated workspace instances that are auditable through API or web console.

Who should use Exabase?

Exabase is designed for developers building AI agents that need to maintain context and memory across user interactions, as well as applications requiring persistent data layers, file management, and semantic search capabilities.

What problems does Exabase solve?

Exabase eliminates the need to build custom memory infrastructure from scratch, providing agents with a complete data layer for remembering user preferences, storing documents, and accessing contextual information across sessions.

How is Exabase different from a vector database?

Unlike vector databases, Exabase's Memory API creates a self-organizing, self-improving knowledge graph that tracks relationships, resolves contradictions, and evolves with each interaction, providing true semantic reasoning rather than just similarity matching.

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