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System Design
ByteByteGo·Jun 13·5 min read
EP218: The Typical AI Agent Stack, Explained
TL;DR
Many businesses struggle with managing user authentication and identity infrastructure effectively. Descope MCP server was developed to connect AI agents to an identity platform, allowing them to perform various tasks through natural language.
✦ Why It Matters
Engineers can leverage AI agents to automate and secure user authentication processes effectively.
Key Takeaways
- Understand the four layers of the AI Agent Stack.
- Implement robust observability for AI agents in production.
- Evaluate which layer of the stack is most challenging for your projects.
- Consider the implications of AI safety in your development processes.
How It Works
The AI Agent Stack consists of four layers: the Agent Runtime, which executes a ReAct loop; the Model Layer, which houses the LLMs; the Tool Layer, which facilitates interaction with external systems; and the Memory Layer, which manages both short-term and long-term memory. The Observability & Safety Layer ensures that the entire system remains manageable and secure, allowing for effective debugging and evaluation.