AI agent platforms in 2026, compared fairly

The short version

Prices and names change. We read each product's own pages on 28 October 2026 and link them; check the live page before you decide.

Three kinds of platform

Visual builders for business teams

Copilot Studio, Relevance AI, n8n and Dify let people build agents without writing code: describe the agent, connect tools on a canvas, publish it to a chat, a website or a workflow. They suit teams whose agents answer customers, move data between apps or run sales and support tasks.

Managed clouds for agents you write in code

Google's Gemini Enterprise Agent Platform (formerly Vertex AI Agent Builder), Amazon Bedrock AgentCore and LangSmith Deployment run agents you wrote in a framework (ADK, LangGraph, CrewAI, the OpenAI Agents SDK and others) and add identity, memory, gateways and tracing around them. They suit engineering teams already on that cloud.

Open-source software you run yourself

Swarm and OpenHands are programs you install on your own machines; the OpenAI Agents SDK, LangGraph and CrewAI are libraries you build into your own code. Your code and data stay where they are, and the models run on whatever plan or key you connect.

Pick each one when

• Swarm: you want agents that work in your own folders on your own Linux machines (coding, research, design, media), driven from the AI you already use, with your own workers, schedules and review steps. Not a fit if you want a visual builder or a managed cloud, or if you only have a Mac or Windows PC and no Linux server.
• OpenAI Agents SDK: you build on OpenAI models in Python and want a light, code-first multi-agent library. OpenAI's visual Agent Builder shuts down on 30 November 2026; OpenAI points to the SDK instead.
• Google Gemini Enterprise Agent Platform: your data and identity already live in Google Cloud and you want a managed runtime and governance for agents built with ADK or another framework.
• Copilot Studio: your organization runs on Microsoft 365 and Teams, and business teams should build and publish agents there without code.
• Bedrock AgentCore: you build on AWS and want managed runtime, identity, gateway and observability for agents written in any framework.
• LangGraph and LangSmith: you write agents in code and need fine control over state, branching and durable execution, with tracing and evaluation from the same vendor.
• CrewAI: you want role-based multi-agent logic inside your own Python product, with an optional managed control plane later.
• n8n: agents are steps inside broader automations across many apps, on a visual canvas you can self-host.
• Dify: you want a visual builder for chatbots, RAG and agentic workflows, published as web apps or APIs, that you can self-host.
• OpenHands: you want a mature, model-agnostic coding agent with a web control center you run yourself.
• Relevance AI: sales, support or operations teams want hosted agent "workforces" without code.

What we would check before choosing

1. Who builds the agents? Business teams need a visual builder. Developers can take a framework or a platform their AI drives.
2. Where must the data stay? If code or customer data cannot leave your machines, rule out hosted-only platforms first.
3. Whose models, whose bill? Some platforms bill you for model use; others run on a plan or API key you already pay for.
4. What happens after a run? Look for review steps, retries, schedules, and a record of what each run did and cost. That is most of the work once agents are real.
5. Can you leave? Open-source code and agents defined in your own files are easier to move than agents that live only in a vendor's editor.