Best for · verified Nov 2, 2026

Best framework to build your own AI agent

You want to ship an agent in your own product or workflow.

Short answer: OpenAI Agents SDK. Lightweight, MIT-licensed, code-first.
  1. OpenAI Agents SDK

    Lightweight, MIT-licensed, code-first.

    Free tier: Yes. MIT-licensed SDK.
    Paid: None for the SDK; model and API usage is billed by your provider.

  2. LangChain / LangGraph + LangSmith

    LangGraph for stateful agents, LangSmith for tracing and evals.

    Free tier: Yes. Developer plan $0 (1 seat, 5k base traces/month, 1 free small serverless deployment).
    Paid: Plus $39/seat/mo plus usage. Startup credits up to $10,000 for VC-backed companies.

  3. CrewAI

    Role-based multi-agent crews in Python.

    Free tier: Yes. The open-source framework is free; the platform's Free tier includes 50 workflow executions/month.
    Paid: Enterprise tiers; pricing not listed publicly on the page we read.

  4. n8n

    Visual automations priced per workflow run.

    Free tier: Free trial of n8n Cloud (14 days on Business, no card required).
    Paid: Cloud (billed annually): Starter €20/mo, Pro €50/mo, Business €667/mo.

FAQ

What is the best framework to build your own ai agent?

Our top pick is OpenAI Agents SDK: Lightweight, MIT-licensed, code-first.

Why consider LangChain / LangGraph + LangSmith?

LangGraph for stateful agents, LangSmith for tracing and evals.

Why consider CrewAI?

Role-based multi-agent crews in Python.

Why consider n8n?

Visual automations priced per workflow run.