Exabase – The Data Layer for AI Agents

Exabase is the foundational data layer built to empower AI agents with the tools they need to operate effectively in real-world environments. At its core, Exabase provides persistent memory, cloud storage, and semantic search, enabling agents to remember users, store files, and retrieve context seamlessly across sessions. This transforms the way AI systems interact with information, ensuring continuity, reliability, and intelligence that grows over time.

The centerpiece of Exabase is the Memory API, a self-organizing memory system designed to go far beyond traditional vector databases. It stores facts, preferences, and events, then builds a living knowledge graph that tracks relationships, resolves contradictions, and evolves with every interaction. This means agents don’t just recall data—they understand it in context, adapt to changes, and refine their knowledge continuously. Unlike static storage solutions, the Memory API represents real, self-improving memory that grows smarter with use.

Complementing this is the Resources API, which provides a cloud-native filesystem for both agents and users. With full CRUD capabilities, it allows the storage of files, notes, bookmarks, and documents, all organized with folders, tags, and semantic search. This ensures that information is not only stored but also easily retrievable and meaningfully categorized. By integrating semantic search, the Resources API makes it possible for agents to locate and leverage data intuitively, mirroring the way humans organize and access information.

The third pillar of Exabase is the Bases API, which enables the creation of isolated cloud workspace instances on demand. Each workspace comes equipped with its own memory, files, and search capabilities, fully controlled by the application and auditable through the API or web console. This isolation ensures security, scalability, and flexibility, allowing developers to spin up dedicated environments tailored to specific tasks or users. With Bases, agents gain a structured place to work, collaborate, and evolve without interference from other systems.

Together, these APIs eliminate the need for developers to build memory infrastructure from scratch. Exabase provides a ready-made, robust foundation that accelerates development and enhances agent capabilities. By offering persistent memory, intelligent storage, and flexible workspaces, Exabase gives AI agents the tools they need to operate with continuity and context, bridging the gap between isolated tasks and long-term intelligence.

Key Features

• Main Feature: Provides the essential data layer functionality for AI agents.

• Fast: Operates quickly, ensuring agents can access and process information without delay.

• Easy: Simple to integrate and use, reducing complexity for developers and users alike.

• Flexible: Adapts to diverse workflows and application requirements.

• Help: Offers support when needed, ensuring smooth adoption and operation.

Exabase redefines what it means to give AI agents a place to work. By combining persistent memory, semantic search, and cloud-native storage, it creates a living, evolving foundation that supports smarter, more capable agents. It is not just infrastructure—it is the backbone of intelligent, context-aware AI systems.