VoltAgent/voltagent

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

What it solves

VoltAgent provides a comprehensive platform for building and operating production-ready AI agents. It bridges the gap between writing agent logic in code and managing those agents in production through observability, deployment, and monitoring tools.

How it works

The platform is split into two primary components:

  1. Core TypeScript Framework: An open-source library used to define agents with specific roles, tools, and memory. It includes a declarative workflow engine for multi-step automations, a supervisor system for coordinating teams of specialized agents, and native support for the Model Context Protocol (MCP) to connect to external tools.
  2. VoltOps Console: A management layer (available as cloud or self-hosted) that provides real-time execution traces, performance metrics, a prompt builder, and tools for deployment and evaluation.

Who it’s for

Developers building complex AI agent systems who need full code control over their agent's logic but require professional operations tools for observability, safety guardrails, and deployment.

Highlights

  • Multi-Agent Coordination: Supports supervisor-led teams of specialized sub-agents.
  • Declarative Workflows: Build multi-step automations with built-in suspend/resume capabilities for human-in-the-loop interactions.
  • Production Observability: Detailed execution traces, logs, and memory management via the VoltOps Console.
  • Broad Compatibility: Easy swapping between LLM providers (OpenAI, Anthropic, Google) and integration with various voice and memory adapters.
  • MCP Integration: Native support for Model Context Protocol servers to extend agent capabilities.