Agent Knowledge Engine

Train AI agents on the context they need to do the job right.

Your AI workers are only as effective as the knowledge you give them. The Agent Knowledge Engine lets you train your AI agents on the important context they need to perform their jobs correctly—using the same documentation you'd give to a new hire.

Onboard AI Like You Onboard Employees

Think about how you train a new team member. You share company documentation, process guides, product information, and institutional knowledge that helps them understand how things work. The Agent Knowledge Engine works the same way.

Your written documentation—the processes, procedures, and expertise that make your business run—becomes the training material for your AI workers. No translation required. No technical reformatting. Just the knowledge your team already uses, now powering your AI workforce.

Create Memories in Seconds

Memories are organized knowledge libraries you create for your AI agents. Think of them like Google Drive folders—containers where you store the information your agents need to reference.

You can add any type of content to a memory: documents, PDFs, plain text instructions, website content, connected application data, and web research findings. You can even connect applications to automatically pull memory items, or have your agents' web research findings flow directly into their knowledge base. It's as easy as a few button clicks.

Connect Knowledge to Agents Instantly

Once you've created a memory, connecting it to your agents is as simple as checking a box. Select which memories each agent can access, and they immediately have the context they need to work effectively.

Different agents can access different memories based on their roles. Your customer support agent might need product documentation and FAQ content, while your recruiting agent needs job descriptions and company culture materials.

Zero Technical Complexity

Our platform handles all the technical heavy lifting. You don't need to set up your own vector database, build a RAG pipeline, configure an embedding model, or manage any other infrastructure. Everything you need is built in.

You focus on what actually moves the needle: your domain expertise, written down in business process documentation and instructions. That's what creates effective AI workers.

You create AI agents. The platform handles everything else.