Exabase gives you everything you need to give your agent context.
Over
pages processed, workspaces and memories created
Agents
Build agents that your users can trust
Agent memory
Build agents that truly remember long-term, with Exabase's frontier memory system.
Agent undo
Deploy agents you can roll back, whenever they make a mistake. No more worrying about data loss or irreversible changes.
Data
Unlock & understand your data
File extraction from any source
Extract structured JSON, or Markdown, from any website or files including PDF, DOCX, PPT, EPUB, video and audio.
Dedicated extraction for invoices, resumes and contracts.
Keep your knowledge base current
Knowledge and context, that never goes stale. Automatically maintained.
Asset search
Unlock any library of content or media with multi-modal AI search that just works.
Burning money on tokens?
A free guide with 3 practical patterns to reduce your token costs.
FAQs
What is Exabase?
Exabase is infrastructure for AI agents. It gives your agents memory, versioned file storage, AI deep search, and context automation through a set of APIs. Store what your agent learns, search inside any content type, and keep knowledge bases current automatically. Built for production use. Give your agent precise context and cut your token spend by up to 81%.
Who uses Exabase?
Teams shipping AI agents to production. Startups building copilots that need persistent memory. SaaS companies adding AI features with per-user data isolation. Enterprise teams replacing brittle RAG pipelines with a managed data layer.
What can I build with Exabase?
Anything that needs agents to remember, store, or retrieve. Customer support bots with long-term memory, research agents that build their own knowledge bases, coding assistants that remember your codebase, sales copilots that track deal context across conversations.
What's the difference between Exabase and a vector database?
A vector database gives you semantic search over embeddings you create. You still build the ingestion pipeline, handle chunking, manage file parsing, and figure out citations yourself. Exabase handles the full stack from raw file to searchable, locatable result. It also does things vector databases don't: structured extraction, memory that tracks relationships and resolves contradictions, deep AI search inside files, versioned file storage with folders and tags, and scheduled agents that maintain your knowledge base automatically.
How does Exabase relate to Fabric?
Exabase is the infrastructure layer behind Fabric, the AI personal data platform where hundreds of thousands of users store and search their files, notes, and links. The same technology that powers Fabric is available to developers through Exabase's APIs. It's production-tested at scale, not a research project.
Can I use Exabase with my existing stack?
Yes. Exabase is model-agnostic and framework-agnostic. Use the TypeScript SDK or call the REST API directly. Works with any stack.
Who needs a memory API for AI agents?
Any team building an agent, copilot, or assistant that talks to the same user more than once. Customer support bots, sales copilots, coding assistants, learning platforms, healthcare agents. If your agent forgets everything between sessions, you need a memory layer.
What is a data layer for AI agents?
The infrastructure between your agent and its data. Memory, file storage, search, and extraction. Instead of stitching together a vector database, S3, an embedding pipeline, and a cron scheduler, a data layer gives you all of it through one API.
How do I add long-term memory to an AI agent?
Send your agent's conversations to a memory API. Exabase extracts facts, preferences, and events automatically, organizes them into a self-improving knowledge graph, and makes them searchable via semantic search. Two API calls: one to add, one to retrieve.
What are Exabase Workers?
Autonomous agents that run inside your Bases on a schedule. Define a task in natural language, set a frequency (daily, weekly, monthly), and Workers handle it. They can search the web, organize files, tag content, create notes, and manage tasks. No cron jobs, no servers. Knowledge that compounds instead of decaying.
Do I need to use the whole platform?
No. You can mix and match features, and Memory and Extract can be used by themselves. The platform features work better together, but there's no requirement to adopt everything at once.
What does it cost?
You can sign up and start building for free. See the pricing page for plan details and limits.
