VoltAgent

What is VoltAgent?

VoltAgent is an open-source TypeScript framework for building AI agents, with memory, RAG, guardrails, tools, MCP, voice and workflow support in the core package. Alongside it, the company sells VoltOps, a console for the work that comes after the code is written: LLM observability, automation, deployment, evals, guardrails and prompt management. The analytics dashboard shows traces, success rates, token use, cost by model and by user, and latency percentiles for agents, tools and workflows. VoltOps Deploy connects a GitHub repository and ships your agent with automatic SSL, custom domains and push-to-deploy. Prompts can be versioned, rolled back and A/B tested. The framework is free forever. VoltOps pricing starts with a Developer plan at $0/month, then Core at $50/month and Pro at $250/month, both with a 14-day free trial, and a custom Enterprise plan that includes self-hosting.

Use cases

• Build AI agents in TypeScript
• Trace and debug LLM calls
• Track LLM cost per model and user
• Deploy agents from a GitHub repo
• Version and A/B test prompts
• Run evals on agent output
• Build RAG knowledge bases for agents
• Self-host agent observability

Who it's for

• TypeScript developers
• AI engineers
• Startup engineering teams
• Platform teams

Why use VoltAgent

• The framework is free and open source, so you can build agents without paying for the console.
• Traces, cost and latency views show where an agent is slow or expensive.
• Deploying straight from GitHub removes separate hosting setup for agents.
• Prompt versioning with rollback lets teams change prompts without redeploying code.
• Both cloud and self-hosted VoltOps options exist for teams that must keep data in their own infrastructure.

VoltAgent features

• TypeScript agent framework with memory, tools and MCP
• Workflow engine for multi-step automations
• RAG with knowledge bases and document uploads
• Guardrails and voice support
• LLM observability with traces and latency percentiles
• Cost tracking by model and by user
• Prompt management with versions and rollback
• VoltOps Deploy with GitHub push-to-deploy
• Custom domains with automatic SSL
• Evals, actions and triggers
• Self-hosted VoltOps on Enterprise

VoltAgent integrations

• GitHub
• OpenAI
• Anthropic
• Nixpacks
• Docker

How to get started with VoltAgent

1. Install the VoltAgent TypeScript framework and define an agent with a role, tools, memory and a model provider.
2. Add workflows, RAG knowledge bases or guardrails as the agent grows.
3. Connect the agent to the VoltOps console to collect traces, cost and latency data.
4. Optionally link a GitHub repository in VoltOps Deploy and turn on auto-deploy for each push.
5. Use the dashboard, evals and prompt versions to improve behavior over time.

VoltAgent limitations

• Developer plan is capped at 250 traces per month and 7 days of data retention
• Developer plan has 1 seat, 1 project and 1 prompt
• Traces beyond plan limits are billed at $10 per 5,000
• HTTP basic auth and SSO require the Pro plan
• Self-hosted deployment is part of the Enterprise plan

VoltAgent pricing

Yes, VoltAgent has a free plan. Paid plans start at $50 per month, according to the official pricing page on 24 Oct 2026.

VoltAgent plans

• Developer Plan

  $0/month

  • 1 seat, 1 project, 1 prompt
  • 250 traces/month
  • 7 days data retention
  • No credit card required

• Core

  $50/month

  14-day free trial

  • Up to 3 seats
  • Unlimited prompts and agents
  • 50,000 traces/month
  • 90 days retention
  • 5,000 evals/month

• Pro

  $250/month

  14-day free trial

  • Up to 20 seats
  • 250,000 traces/month
  • SSO integration
  • Deployment basic auth
  • Priority support

• Enterprise

  Custom

  • Self-hosted deployment
  • Unlimited tracing
  • Dedicated account manager
  • Custom MSA

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

VoltAgent alternatives

The main VoltAgent alternatives listed on Debuly are Mastra, LangChain, CrewAI, Langfuse, Lunary and OpenLIT. The table compares pricing and platforms; order is A–Z.

1. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
2. 

   LangChain

   Open-source framework for building LLM agents, paired with LangSmith for tracing, evals and agent deployment.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit LangChain (official site)
3. 

   Langfuse

   Open-source LLM observability and evaluation platform for tracing agents, managing prompts and scoring outputs.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Langfuse (official site)
4. 

   Lunary

   LLM observability and evaluation platform for logging calls, tracing agents, managing prompts and running evaluations.

   Developer platformsAutomation and agentsCoding
   PaidVisit Lunary (official site)
5. 

   Mastra

   Open source TypeScript framework for building AI agents and workflows, plus a hosted platform for Studio, Server, memory and observability.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Mastra (official site)
6. 

   OpenLIT

   Open-source, OpenTelemetry-native platform for tracing, evaluating and guarding AI agents, with cost and GPU monitoring

   Developer platformsCodingAutomation and agents
   Open sourceVisit OpenLIT (official site)

VoltAgent FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from voltagent.dev · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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