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