Turn what you know into what gets donePRAXISAI Agents

πρᾶξιςThe process by which a theory, lesson, or skill is enacted and put into practice

product proof

What Praxis Agents look like

Praxis agents are designed to be as clear and simple to use as possible.

human approval

Choose when agents stop and ask before they act.

This is the actual approval layer that Praxis Agents follow. Teams can review messages and actions before an agent does anything in the 'real' world.

Praxis approval screen for sending a Gmail message with approve and deny actions.

business memory

Agents work with a dynamic knowledge graph, acting as their memory.

Context is stored as relationships and entities your agents can reuse later, so knowledge compounds instead of being forgotten.

Praxis knowledge graph screen showing connected entities, relationships, and memories used by agents.

agent builder

Detailed control over how agents are scoped and configured.

Prompting, skills, collaboration, and tool access live in one place so agent configuration is visible and editable instead of hidden in code.

Praxis create sub agent screen with details, model override, skills, collaboration, and tool access options.

built for

Built for teams where AI does real work.

Operations Teams

Who need AI that actually does the work - not just talks about it.

Marketing & Advertising Teams

Managing campaigns, documents, calendars, and ad accounts across platforms.

Agencies

Running multiple accounts without mixing things up, with a clear record of everything.

Founders Building AI Products

Use Praxis as the foundation for your own AI system - white-label ready.

See Praxis Agents In Action.

We'll build a custom Praxis Agent in under 10 minutes.

You'll see the difference straight away.

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