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Documentation Index

Fetch the complete documentation index at: https://docs.xpander.ai/llms.txt

Use this file to discover all available pages before exploring further.

xpander.ai is a platform for building AI agents that connect to your enterprise systems. It handles the hard parts of putting agents into production: governed access to APIs, memory, knowledge bases, observability, and deployment to any channel. The xpander.ai agent builder: configure instructions, tools, channels, and memory, then test in a live chat. The platform is made up of four building blocks. Three are specific products you can use out of the box, and one is the builder for creating your own agents from scratch.

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Four building blocks

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Personal AI Agents

Powered by OpenClaw An AI assistant that lives where your employees already work: Slack, Teams, and voice. It builds memory about each person’s projects, preferences, and patterns over time. When it needs to reach into an enterprise system, it delegates to a specialized agent with the right permissions. IT deploys it once, and every employee in the workspace gets a personalized agent automatically. Personal AI Agent delegation flow: employee asks a question, the agent reasons and delegates to Salesforce, Jira, and Slack agents, then returns a unified answer. When to use: You want every employee to have an AI assistant without building anything custom. Learn more →

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Specialized Agents

Powered by Agno Pre-built agents for enterprise systems like Salesforce, Jira, Snowflake, and GitHub. Each one is scoped to only the operations you approve. Unlike raw API connectors where constraints are prompt-based, specialized agents enforce access structurally. Specialized Agent flow: the personal agent delegates to a scoped specialist that queries only approved operations, then returns the result. When to use: Governed AI access to specific systems without building anything custom. Learn more →

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Agentic Automation

Powered by Agno Workflows Backend workflow automation where AI handles data mapping between systems at runtime. Traditional automations (Zapier, n8n, Power Automate) break when an API changes because every field is manually wired. Agentic automation describes what each step should do in natural language, so it adapts to schema changes instead of breaking. Build on a no-code canvas or with the Python/JS SDK. When to use: Backend automation triggered by events (webhooks, schedules, emails) across multiple systems. Learn more →

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Agent Studio

Powered by Agno A visual builder for custom agents. When the pre-built options don’t cover your use case, Agent Studio lets you combine any of the 2,000+ tools, add your own documents as knowledge bases, and deploy to any channel. When to use: The predefined agents don’t cover your use case, and you need a custom mix of tools, knowledge, and behavior. Learn more →

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How it fits together

Agent Studio is where you configure everything: agent instructions, tool connections, knowledge bases, safety controls, and deployment channels. Once deployed, Personal Agents handle conversations and delegate to Specialized Agents for governed system access. Agentic Automations run separately in the background, triggered by events, handling multi-step processes that don’t need a conversation. Everything is also accessible through the Python SDK and REST API.
xpander.ai platform architecture

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Deployment

All three options run identical software.

xpander Cloud

Managed, SOC 2, auto-scaling. Free tier available.

Bring Your Own Cloud

Your AWS, GCP, or Azure. Self-hosted Kubernetes with Helm.

xpander Box

On-prem hardware. Air-gapped, rack-mountable, pre-loaded models.

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What’s next

Personal AI Agents

AI teammates for every employee.

Specialized Agents

Governed agents for enterprise systems.

Agent Studio

Build custom agents.

Agentic Automation

AI-native workflow automation.