11.ai

ElevenLabs Agents, also known as ElevenAgents, is a conversational AI platform developed by ElevenLabs. It enables businesses and developers to configure, test, deploy, and monitor AI agents capable of communicating through natural voice conversations and text-based chat.

Users can configure an agent’s voice, language, system prompt, knowledge base, workflows, tools, and behavioral rules from a centralized dashboard. The platform supports more than 11,000 voices across over 70 languages, allowing businesses to create agents adapted to different markets, audiences, and communication styles.

Agents can be deployed across phone calls, website widgets, mobile applications, WhatsApp, SMS, email, and customer-service platforms. Context can be maintained across supported channels so customers do not need to repeat the same information when moving from one communication method to another.

The visual Workflow Builder helps teams create structured multi-step conversations without building every interaction from code. Workflows can control how the agent responds, which tools it can access, when it transfers a conversation, and what actions it performs at each stage. Usage data can also be displayed directly on the workflow to identify where conversations succeed or end.

A built-in knowledge base allows users to upload product information, company policies, technical documentation, FAQs, and other business documents. The agent can use retrieval-augmented generation to find relevant information and provide more accurate context-aware answers. The same knowledge base document can be connected to multiple agents.

ElevenLabs Agents can perform actions through system tools, webhook integrations, external APIs, and Model Context Protocol servers. These tools can allow an agent to retrieve account information, schedule appointments, update customer records, check order status, process requests, or interact with other business systems.

The platform includes guardrails, conversation simulations, automated testing, tool-call testing, analytics, transcripts, conversation histories, success-rate tracking, customer-satisfaction metrics, language analytics, debug logs, experiments, and A/B testing. These capabilities help teams evaluate agent behavior before deployment and continuously improve performance after launch.

Developers can integrate agents into products using native web and mobile SDKs, REST APIs, WebSocket APIs, React components, and server-side integrations. The platform is LLM-agnostic, allowing supported third-party models or customer-hosted models to be connected when required.