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AI agent frameworks and platforms for developers

Frameworks give developers building blocks for agents: tools, memory, steps and hand-offs. Cloud services add hosting and controls. Pick by your team's skills and where the agent must run.

SARVO lists 12 tools for this task. Tools with no implementation partner are sold directly by the vendor, and SARVO can connect you with them. Ask SARVO to match your exact need.

Tools to consider

#8 · by Block

Goose

Open-source local AI agent that installs, runs and tests code and connects to tools through MCP extensions.

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What to check before you choose

  • Does your team prefer code (LangGraph, CrewAI, AutoGen) or a visual builder (Dify, Flowise)?
  • Where will it run, and does that match your data rules?
  • How will you test, monitor and trace what the agent does?
  • What is the licence, and what happens if the project changes direction?

SARVO does not certify tools. Verify security and data terms with each vendor.

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Frequently asked questions

What is an AI agent framework?

A software library or platform that helps developers build agents that plan, call tools and keep state.

LangGraph or CrewAI?

LangGraph gives fine control over steps and state, and CrewAI is quicker for teams of role-based agents. Prototype one task in both.

Do I need a framework at all?

Simple agents can call a model directly. Frameworks help when you need several steps, tools and recovery from errors.

Which cloud services host agents?

Google Vertex AI Agent Builder, Amazon Bedrock AgentCore and Azure AI Foundry Agent Service are examples.