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You use AI agents for automation. You need a way to make them safe and fast. This is where an agent system comes in.
Think of it as an operating system for AI. It manages how your agents run and stay secure.
Here is what this system does for you:
- It handles memory and state.
- It runs code in isolated Docker boxes.
- It checks tools for errors before they run.
- It shrinks long chat logs to prevent crashes.
Many people confuse this with frameworks like LangChain. Frameworks give you the logic. The system manages the execution in production.
Real world results show it works:
- Stripe handles 1,000 pull requests a week.
- OpenClaw manages 6,600 commits a month.
This infrastructure makes AI reliable. It lets your agents work with less human help.