
Open-source TypeScript framework and engineering platform for building agents with memory, tools, workflows, RAG, guardrails, and observability.
VoltAgent is an AI agent engineering platform built around an open-source TypeScript framework. The framework is designed for building agents with memory, tools, RAG, guardrails, MCP support, voice capabilities, and multi-step workflows while retaining full code control. Its companion VoltOps Console supports production operations such as observability, automation, deployment, evaluations, guardrails, and prompt management, with cloud and self-hosted options referenced by the project. The GitHub repository is public and MIT licensed, while VoltOps offers paid plans in addition to developer/free access according to the official pricing page.
Product overview
VoltAgent is agent-development infrastructure rather than one standalone agent. It combines an MIT-licensed TypeScript framework for agents, tools, memory, RAG, workflows, guardrails, voice, and multi-agent supervision with the optional VoltOps cloud or self-hosted operations console.
Information as of September 3, 2026
Developers define agents with instructions, model providers, tools, memory, retrieval, guardrails, and direct or streamed generation methods, then expose them through application code or REST endpoints.[1], [2]
The framework includes declarative multi-step workflows and supervisor coordination for teams of specialized sub-agents.[1]
The optional console adds observability, automation, deployment, evaluations, guardrails, prompts, and managed RAG alongside the open-source runtime.[1], [3]
The core framework is free and open source. VoltOps offers a $0 Developer plan, Core at $50/month, Pro at $250/month, and custom Enterprise pricing; Core and Pro include 14-day trials and metered limits or overages apply to several features.[3]
Platforms: TypeScript and Node.js applications, REST API, VoltOps web console[1], [2], [3]
Access: Self-managed open-source framework, VoltOps cloud, Enterprise self-hosted VoltOps[1], [2], [3]
66/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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