Compare the Top AI Agent Builders that integrate with SQLite as of October 2025

This a list of AI Agent Builders that integrate with SQLite. Use the filters on the left to add additional filters for products that have integrations with SQLite. View the products that work with SQLite in the table below.

What are AI Agent Builders for SQLite?

AI agent builders are tools, platforms, or frameworks designed to create, train, and deploy intelligent virtual agents capable of performing tasks autonomously. These builders provide resources for natural language processing, decision-making algorithms, and machine learning, enabling agents to interact with users effectively. They often include user-friendly interfaces or APIs to customize behaviors, integrate with existing systems, and adapt to specific use cases. AI agent builders are widely used across industries, including customer service, healthcare, education, and entertainment, to enhance efficiency and user experience. By leveraging these tools, developers and businesses can rapidly create sophisticated agents tailored to their unique needs. Compare and read user reviews of the best AI Agent Builders for SQLite currently available using the table below. This list is updated regularly.

  • 1
    Jotform

    Jotform

    Jotform

    Jotform AI Agent Builder is a powerful tool that allows businesses to create and customize AI-powered customer service agents without coding. With this tool, businesses can easily design AI agents that handle tasks like guiding users through forms, answering frequently asked questions, scheduling appointments, and sending automated emails. The AI agents can be deployed across various communication channels, including phone, chat, and messaging apps like WhatsApp and Messenger. Jotform AI Agent Builder provides complete customization options, enabling businesses to adjust the agent’s tone, behavior, and appearance to align with their brand. With multi-language support and 24/7 availability, these AI agents improve efficiency, reduce response times, and enhance customer satisfaction.
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    Starting Price: $34 per month
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  • 2
    Cognee

    Cognee

    Cognee

    ​Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.
    Starting Price: $25 per month
  • 3
    Airweave

    Airweave

    Airweave

    Airweave is an open source platform that transforms application data into agent-ready knowledge, enabling AI agents to semantically search across various apps, databases, and document stores. It simplifies the process of building intelligent agents by offering no-code solutions, instant data synchronization, and scalable deployment options. Users can connect their data sources using OAuth2, API keys, or database credentials, initiate data synchronization with minimal configuration, and provide agents with a unified search endpoint to access the necessary information. Airweave supports over 100 connectors, including integrations with Google Drive, Slack, Notion, Jira, GitHub, and Salesforce, allowing agents to access a wide range of data sources. It handles the entire data pipeline, from authentication and extraction to embedding and serving, automating tasks such as data ingestion, enrichment, mapping, and syncing to vector stores and graph databases.
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