VoltAgent: AI Agent Engineering Platform
An end-to-end AI Agent Engineering Platform that consists of two main parts.
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Core facts
Read by a script from the official API, not rewritten by a model.
- Repository
- https://github.com/VoltAgent/voltagent
- License
- MIT
- Languages
- TypeScript
- Maintainer
- VoltAgent
- Homepage
- https://voltagent.dev
- Verified
What it is
VoltAgent is an end-to-end AI Agent Engineering Platform that consists of two main parts. With the open-source framework, you can build agents with memory, tools, and multi-step workflows. The framework creates multi-agent systems in which specialized agents work together under supervisor coordination. The project says it lets you build agents with full code control and ship them with production-ready visibility and operations.
Main features
The Core Runtime defines agents with typed roles, tools, memory, and model providers in one place.
The Workflow Engine describes multi-step automations declaratively rather than stitching together custom control flow.
Supervisors and Sub-Agents run teams of specialized agents under a supervisor runtime that routes tasks.
LLM Compatibility lets you swap between OpenAI, Anthropic, Google, or other providers by changing config, not rewriting agent logic.
Memory attaches durable memory adapters so agents remember context across runs.
Resumable Streaming lets clients reconnect to in-flight streams after refresh.
Getting started
A CLI tool creates a new VoltAgent project.
Afterwards, you navigate to your project and run a command.
When you run the dev command, tsx compiles and runs your code.
The expense approval workflow demonstrates human-in-the-loop automation with suspend/resume capabilities.
npm create voltagent-app@latestnpm run dev══════════════════════════════════════════════════
VOLTAGENT SERVER STARTED SUCCESSFULLY
══════════════════════════════════════════════════
✓ HTTP Server: http://localhost:3141
Test your agents with VoltOps Console: https://console.voltagent.dev
══════════════════════════════════════════════════Who it is for
Retrieval and RAG plugs in retriever agents to pull facts from data sources before the model answers. The VoltAgent Knowledge Base provides a managed RAG service for document ingestion, chunking, embeddings, and search. Voice adds text-to-speech and speech-to-text with OpenAI, ElevenLabs, or custom voice providers.
Guardrails intercept and validate agent input or output at runtime. Evals run agent eval suites alongside your workflows. VoltOps Console is the platform side of VoltAgent, providing observability, automation, and deployment with real-time execution traces, performance metrics, and visual dashboards.
The Prompt Builder designs, tests, and refines prompts directly in the console. Deployment deploys agents to production with one-click GitHub integration and managed infrastructure. Triggers and Actions automate agent workflows with webhooks, schedules, and custom triggers.
Monitoring monitors agent health, performance metrics, and resource usage. Guardrails in the console set up safety boundaries and content filters. Evals in the console run evaluation suites that test agent behavior, accuracy, and performance against benchmarks.
RAG connects agents to knowledge sources with built-in retrieval-augmented generation. Logs track detailed execution logs for every agent interaction and workflow step. Memory Management inspects and manages agent memory, context, and conversation history.
VoltAgent is licensed under the MIT License.
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Sources
This page is written from the official sources below. Open them to check the original text.
- GitHub READMEhttps://github.com/VoltAgent/voltagentFetched
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