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VoltAgent

TypeScript framework and platform for building AI agents with memory, tools, workflows, and observability.

GitHub Download @voltagent/core@2.11.0
Stars
10.9k
Forks
1.2k
Licence
MIT
Language
TypeScript
Last update
21 days ago
Type
Framework

What it is

VoltAgent is an open-source TypeScript framework for building AI agents, programs that use language models to carry out multi-step tasks with tools and memory. It is paired with a VoltOps Console for observability, deployment, and evals. People use it to write agents in code while getting visibility into how those agents run.

  • Create an agent with weather-checking tools and persistent memory using the starter template
  • Coordinate several specialized agents under a supervisor agent
  • Connect an agent to Model Context Protocol servers without custom glue code
  • Add text-to-speech or speech-to-text to an agent with OpenAI or ElevenLabs
  • Use the MCP docs server so an AI coding assistant can read VoltAgent documentation

Great for

  • TypeScript or Node.js developers building AI agents
  • Teams that want multi-agent setups with a supervisor routing tasks to sub-agents
  • Developers who want to switch between model providers by changing configuration
  • Projects that need built-in memory, RAG, guardrails, or voice features

Not ideal for

  • Non-programmers, since setup and agent logic are written in code
  • Python-first teams, because the framework is TypeScript-based
  • Projects needing only a simple chatbot, where a lighter library may be enough
Step-by-step guide: how to use VoltAgentInstall, first run, examples, tips and FAQs
VoltAgent alternativesLangChain.js vs VoltAgentLangChain vs VoltAgentOpenUI vs VoltAgent

How to get it

  1. 1

    Install with a package manager

    You'll need: Node.js · npm

    Create a new VoltAgent project

    npm create voltagent-app@latest
  2. 2

    Run it

    • Run npm create voltagent-app@latest and follow the setup prompts
    • Open the generated project and run npm run dev
    • Look for the VoltAgent server startup message showing http://localhost:3141
    • Open the VoltOps Console link from the terminal to interact with your agent
  3. 3

    Get the most out of it

    • Add a persistent memory adapter such as LibSQL so agents remember context across runs
    • Define tools with Zod types and lifecycle hooks in the Tool Registry
    • Connect Model Context Protocol servers through the MCP integration
    • Set up the @voltagent/mcp-docs-server so AI coding assistants can access VoltAgent docs
    • Use guardrails to validate agent input and output at runtime

Downloads

Source code (.zip)main branch · straight from GitHubRelease @voltagent/core@2.11.0Release notes and sourceOfficial website & docsvoltagent.dev

Strengths

  • Agents, tools, memory, and workflows are defined in one typed TypeScript codebase
  • Supports many model providers and MCP servers through configuration
  • Released under the permissive MIT license with active development shown by recent pushes

Trade-offs

  • The full platform features the VoltOps Console, which the README marks as Cloud or Self-Hosted; details beyond that are not covered here
  • The README is truncated, so the complete feature list and setup details could not be fully verified
  • Many features are broad, so newcomers may need time to learn the framework's concepts

How it compares

ProjectStarsTypeLevelUpdatedBest for
voltagent (this)10.9kFrameworkintermediate21 days agoTypeScript or Node.js developers building AI agents
langchainjs18.3kLibraryintermediate4 days agoJavaScript or TypeScript developers building LLM-powered features
langchain149kFrameworkintermediate4 days agoPython developers building LLM-powered applications
langgraph44.3kLibraryintermediate4 days agoPython developers building multi-step AI agents that must survive failures or long waits
mindshub39.8kAppintermediate13 days agoKnowledge workers who want to automate reading and writing tasks like reports and recurring workflows
openai-agents-python30.5kLibraryintermediate5 days agoPython developers building multi-step AI workflows

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.