Best AI Agents for Arize AI
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Compare the Top AI Agents that integrate with Arize AI as of October 2025
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This a list of AI Agents that integrate with Arize AI. Use the filters on the left to add additional filters for products that have integrations with Arize AI. View the products that work with Arize AI in the table below.
What are AI Agents for Arize AI?
AI agents are autonomous systems designed to perform specific tasks by simulating intelligent behavior. They can perceive their environment, make decisions, and take actions to achieve particular goals based on their programming or learning. These agents can be rule-based, relying on pre-set instructions, or machine learning-based, adapting their behavior over time through experience. AI agents are used in various applications, from virtual assistants to self-driving cars and even decision-making systems in business. Their capabilities range from simple automation to complex problem-solving and predictive tasks. Compare and read user reviews of the best AI Agents for Arize AI currently available using the table below. This list is updated regularly.
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1
Vertex AI
Google
AI Agents within Vertex AI are designed to automate tasks by leveraging machine learning models that can handle complex decisions and interactions. These agents can be trained to process natural language, understand context, and take autonomous actions based on data. By automating critical business processes, companies can enhance productivity and improve customer satisfaction. New customers receive $300 in free credits, enabling them to experiment with creating their own AI agents and test their performance on real-world tasks. With Vertex AI’s powerful infrastructure, businesses can deploy these agents across various domains, from customer service to operations, all while maintaining flexibility and scalability.Starting Price: Free ($300 in free credits) -
2
Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
3
Claude
Anthropic
Claude is an artificial intelligence large language model that can process and generate human-like text. Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Large, general systems of today can have significant benefits, but can also be unpredictable, unreliable, and opaque: our goal is to make progress on these issues. For now, we’re primarily focused on research towards these goals; down the road, we foresee many opportunities for our work to create value commercially and for public benefit.Starting Price: Free -
4
LangGraph
LangChain
Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.Starting Price: Free -
5
Flowise
Flowise AI
Flowise is an open-source, low-code platform that enables developers to create customized Large Language Model (LLM) applications through a user-friendly drag-and-drop interface. It supports integration with various LLMs, including LangChain and LlamaIndex, and offers over 100 integrations to facilitate the development of AI agents and orchestration flows. Flowise provides APIs, SDKs, and embedded widgets for seamless incorporation into existing systems, and is platform-agnostic, allowing deployment in air-gapped environments with local LLMs and vector databases.Starting Price: Free -
6
LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs.
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