VoltAgent
VerifiedTypeScript framework for building AI agents with memory, tools, and workflows.
What is VoltAgent?
VoltAgent combines an open-source TypeScript framework with optional cloud or self-hosted console tooling. The framework handles agent definition, multi-step workflows, supervisor coordination of sub-agents, and integrations such as tool registries and Model Context Protocol servers.
Developers can attach memory adapters, run retrieval for grounded responses, add guardrails for safety, and switch between providers like OpenAI or Anthropic without rewriting core logic. The console layer supplies runtime monitoring, evals, and prompt management.
It targets TypeScript developers and teams that need code-level control over agents while gaining production visibility through structured workflows and observability features.
Capabilities
What you can build with VoltAgent
Multi-agent orchestration
Coordinate specialized agents under a supervisor that routes tasks and maintains shared state across steps.
RAG-enabled assistants
Connect retrievers to pull relevant context from documents before generating answers.
Voice-enabled workflows
Add speech-to-text and text-to-speech using supported providers while keeping the same agent logic.
Install VoltAgent
npm install @voltagent/corenpm create voltagent-app@latest- 1Install the core package with npm or yarn.
- 2Create a new agent by specifying role, model provider, and tools in TypeScript.
- 3Attach memory or workflow definitions as needed for the use case.
- 4Run the agent locally and connect it to your chosen LLM provider.
- 5Add the optional console for logging, evals, and deployment.
VoltAgent: pros & cons
Pros
- +Strong TypeScript typing for tools and agent definitions
- +Flexible provider switching without code changes
- +Built-in support for workflows and sub-agent teams
- +Open-source core with MIT license
Cons
- –Requires TypeScript and Node.js environment
- –Console features need separate setup or cloud account
- –Documentation and community still growing
Frequently asked questions
The core framework is written in TypeScript and runs on Node.js.
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