A comparison of 7 production AI agent runtimes
The author says they compared seven runtimes for running AI agents in production. The list includes Cloudflare Agents, AWS Bedrock AgentCore, Google AX, Anthropic Claude Managed Agents, kagent, Vercel Open Agents, and Agyn. The comparison looks at resource efficiency, support for agents from different companies, security, and whether teams can run the system themselves.
Key points
- The post compares runtime tools for production AI agents.
- The author separates runtime tools from libraries used to build agents.
- Resource efficiency is one of the stated comparison criteria.
- The post checks whether tools can work with agents such as Claude Code and Codex.
- The comparison includes both closed-source and open-source platforms.
Quick term guide
- production
- The live version of a service that real users use.
- Cloudflare
- A service that protects websites and manages web traffic.
- AWS Bedrock
- A service by Amazon that lets people easily use various artificial intelligence models.
- vendor lock-in
- A situation where a customer is dependent on a single company for a product or service.
- benchmark
- A test used to compare speed, quality, or cost.
- libraries
- Reusable code packages developers use to build software faster.
- closed-source
- Software whose code is kept private and controlled by one company
- open-source
- Software whose code is shared publicly so others can inspect, use, or change it.