Architecture layers
Agent architecture,
in 10 tool layers.
Each category is one layer of an AI agent architecture. Knowing which layer a tool occupies tells you where it fits in your blueprint — not which product category to shop by.
4 tools
Orchestration
Frameworks that coordinate agent logic, tool use, and decision flow
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4 tools
Models
LLM providers and local inference options
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2 tools
Memory & Vector
Storage layers for agent context, embeddings, and retrieval
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2 tools
Actions & Integrations
Tools that give agents the ability to act on external systems
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6 tools
Browser & Scraping
Headless browser control and web data extraction
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1 tool
Triggers & Scheduling
Event-driven and scheduled agent execution
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1 tool
Hosting & Infra
Where agents run — serverless, containerised, or edge
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1 tool
Databases
Persistent structured storage for agent state and outputs
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2 tools
Monitoring & Observability
Trace, evaluate, and debug agent runs in production
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3 tools
MCP Servers
Model Context Protocol servers that extend agent capabilities
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