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Exabase

Memory, cloud filesystem instances, advanced search, and extraction APIs. Everything your agent needs to remember and reason.

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Overview

Memory, cloud filesystem instances, advanced search, and extraction APIs. Everything your agent needs to remember and reason.

AI summary

Exabase provides infrastructure for AI agents, offering memory, versioned file storage, AI deep search, and context automation through a set of APIs. It aims to enhance agents' capabilities by allowing them to remember, store, and retrieve information effectively.

Key Features

  • Self-managing advanced memory system for AI agents.
  • Isolated per-tenant instances with version rollback capabilities.
  • Multi-modal hybrid search API for deep content search.
  • Structured data extraction from various sources including PDFs and images.
  • Autonomous agents that maintain and enrich knowledge bases automatically.

Who Is It For

Target audience

Tech startups and enterprise teams focused on building AI-driven applications that require sophisticated memory and data management solutions.

Best for

Teams developing AI agents that require persistent memory and context management, such as customer support bots, coding assistants, and SaaS companies integrating AI features.

Not for

Organizations looking for a free plan or trial, or those needing extensive integrations with other platforms, as none are detected.

Strengths & Weaknesses

Biggest strength

Offers a comprehensive memory and data management solution for AI agents, with features like autonomous agents, structured data extraction, and deep search capabilities.

Biggest weakness

Pricing details are unclear, which may deter potential users seeking transparent cost structures. (AI-inferred; may be outdated – founders can correct this)

Classification

Likely competitors
OpenAIPineconeWeaviateFaunaDB

Alternatives to Exabase

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How we sourced this: Observed fields () were crawled from https://exabase.io and are stated as fact. AI-inferred fields () were generated by gpt-4o-mini and are always labelled – never presented as measured fact. Last updated: 8 July 2026. Is this your tool? Claim it to edit and get a do-follow badge.