voltagent
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Voltagent is an AI Agent Engineering Platform built on TypeScript with support for modularity, observability, and easy deployment. It includes tools like a custom logger, memory adapters, and integrations with popular Ll
Good fit when
- - When you require a TypeScript-based framework that supports integration with various tools including LLM models
- - If your project emphasizes observability and the need to monitor agent operations closely
Avoid when
- - Avoid if you prefer languages other than TypeScript for developing AI agents
- - If ease of deployment and built-in observability features are not critical to your project requirements
- Pricing:
- freemium - Open-source code available under MIT license but may opt into services with a付费层。请检查官方网站以获取详细信息。
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (7d since push)
- As of Aug 18, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 18, 2026
- Security (OSV)
- No MCP manifest
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install voltagentHow it fits your stack(4)
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Overview
A versatile platform for developing and running AI agents with a focus on modularity, observability, and ease of deployment. The framework supports integration with various tools including LLM models.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Aug 18, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 18, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Aug 18, 2026
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README
⚡ Quick Start Create a new VoltAgent project in seconds using the CLI tool: This command guides you through setup. You'll see the starter code in , which now registers both an agent and a comprehensive workflow example found in . Afterwards, navigate to your project and run: When...
For agents
This page has a .md twin and JSON over the API.