Exabase

Quick answers

What is Exabase?

Exabase is infrastructure for AI agents that provides memory, versioned file storage, AI deep search, and context automation through APIs. It enables agents to store and retrieve what they learn, search inside any content type, and keep knowledge bases current automatically.

How does Exabase reduce token costs?

Exabase gives agents persistent memory so they retrieve only the 10 relevant memories at 500 tokens instead of sending the full 50,000 token conversation history, cutting costs by up to 81% while improving accuracy.

What is the difference between Exabase and a vector database?

Vector databases provide semantic search over embeddings but require building ingestion pipelines and managing chunking yourself. Exabase handles the full stack from raw files to searchable results and also provides structured extraction, relationship-tracking memory, deep AI search inside files, versioned storage with folders and tags, and scheduled agents for automatic knowledge base maintenance.

What are Exabase Workers?

Workers are autonomous agents that run inside your Bases on a schedule. You define a task in natural language and set a frequency (daily, weekly, monthly), and Workers handle it by searching the web, organizing files, tagging content, creating notes, and managing tasks without needing cron jobs or servers.

Can I use only some features of Exabase?

Yes, you can mix and match features, and Memory and Extract can be used standalone. The platform features work better together but there is no requirement to adopt everything at once.