Exabase

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.

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.

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.

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.

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.