xpander.ai – Backend‑as‑a‑Service for AI Agents
xpander.ai is a cloud‑native platform that provides the missing backend layer for autonomous AI agents. It abstracts away all the operational complexity—storage, memory, tool integration, authentication, multi‑agent orchestration, CI/CD, and monitoring—so developers can focus on the agent’s business logic.
Key Features
- Zero‑Infrastructure Agent Runtime – Deploy agents with a single command (
xpander deploy). The platform runs inside your VPC or on xpander‑hosted infrastructure with pre‑configured environments for OpenAI, Anthropic, Agno, etc. - Stateful Memory & MCP Tools – Built‑in persistent memory, multi‑channel pipelines (MCP), and a catalog of 2000+ connectors for Slack, Teams, webhooks, and custom APIs.
- Versioning & CI/CD – Full agent version lifecycle: create, test in sandbox, roll‑out, and rollback with automated pipelines.
- Human‑Machine Interfaces – One‑click deployment to UI layers (web, Slack, Teams) with authentication, thread management, and multimodal support.
- Observability & Guardrails – Real‑time event streaming, logs, and safety policies to ensure reliable execution.
- Developer‑First CLI –
npm install -g xpander-cligives you commands to scaffold agents, select runtimes, and manage deployments.
Typical Use Cases
- Customer Support Bots – Deploy a chat‑support agent that persists conversation context across sessions and integrates with internal ticketing systems.
- Code Review Assistants – Run a code‑reviewer agent that accesses repositories, runs static analysis tools, and returns actionable feedback.
- Data Pipelines – Orchestrate multi‑step data‑processing agents that pull from APIs, transform data, and store results securely.
- Enterprise Automation – Enable internal teams to build and run agents without needing a dedicated DevOps team, leveraging VPC isolation and organization‑wide access control.
FAQ
Q: Do I need to manage servers? A: No. xpander.ai provides a fully managed runtime or can be self‑hosted in your VPC.
Q: Which LLM providers are supported? A: OpenAI, Anthropic, Agno, and any custom endpoint via the SDK.
Q: How is data secured? A: All traffic is encrypted, data resides in isolated VPC subnets, and role‑based access control is enforced at the platform level.
Q: Can I integrate my own tools? A: Yes. Use the MCP connector catalog or create custom connectors that expose any private API.
Q: Is there a free tier? A: A free sandbox is available with no credit‑card required; production usage is billed based on compute and storage.
xpander.ai empowers AI developers and platform owners to ship robust, production‑grade agents faster, with less operational overhead and greater reliability.
