AI & Agentic Software · AI agents & automation

AI Agent Framework

Developer libraries for building AI applications and agents: chaining model calls, managing memory, calling tools and coordinating several agents.

Also searched as: LLM orchestration framework · agent SDK

What it does

  • Tool calling and function definitions
  • Memory and state
  • Multi-agent coordination
  • Tracing and debugging
  • Model-agnostic connectors

Who uses it

Developers and technical teams building AI features and agents.

Well-known examples

LangChain and LangGraph · LlamaIndex · CrewAI · Microsoft AutoGen · Pydantic AI

Questions about AI agent frameworks

What is an AI agent framework?

Developer libraries for building AI applications and agents: chaining model calls, managing memory, calling tools and coordinating several agents.

How is AI changing AI agent frameworks?

Frameworks are consolidating around the model providers’ own agent SDKs and open standards like MCP for tools and A2A for agent-to-agent communication.

Should we buy an AI agent framework or have it built?

We pick the lightest framework that does the job, often just the model provider’s SDK, so your agent stays easy to maintain.

Need an AI agent framework set up, connected or built?

Tell us what you use today and what you need it to do. We will tell you honestly whether to buy, build or connect, with a fixed quote.

  • Big projects and small ones are all welcome
  • Fixed-price quotes, no surprise invoices
  • You own your code, data and accounts
  • A client portal to track progress, invoices and payments
  • Rooted in Wisconsin, serving businesses nationwide

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