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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

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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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1 tool

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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2 tools

MCP Servers

Model Context Protocol servers that extend agent capabilities

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