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Agent Frameworks

Definition

Agent frameworks are developer tools and libraries used to build AI agents, multi-agent systems, tool use, memory, and orchestration logic.

Agent frameworks help engineers assemble the building blocks of an agent system. They can provide abstractions for tools, chains, state, memory, planning, retrieval, evaluation, and multi-agent collaboration.

For SMB buyers, frameworks are not the product. They are the scaffolding behind the product. The business cares about the workflow being solved, but the implementation team needs the right framework choices so the system is maintainable, observable, and adaptable over time.

Related terms

AI Agent Builder

An AI agent builder is a tool or platform that helps users create agents through configuration, prompts, workflows, and integrations.

Agent Runtime

An agent runtime is the execution environment where an AI agent runs, maintains state, calls tools, and completes tasks.

Function Calling

Function calling is a structured method that lets an AI model request specific tools or functions with defined inputs.

Tool-Using AI

Tool-using AI refers to AI systems that can interact with external tools such as APIs, databases, browsers, CRMs, calendars, and business applications.