Argil: Transform Workflows with No-Code AI Automation

Argil

Pricing model
Freemium
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Argil is a no-code platform for AI automation, enabling users to optimize workflows, automate processes, and develop AI models without programming skills. It includes tools for creating text and image prompts, templates, and service integrations. The platform offers a free plan as well as paid options with extra credits and automation features.

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GitHub
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Flowise is a free open-source visual interface that enables users to create personalized language-based models (LLMs) with LangchainJS, developed in Node Typescript/Javascript. It is available for both business and personal use and can be easily installed with minimal commands. Additionally, it offers Docker support, and users can reach out to the Flowise team via Discord, Twitter, or email.
Paid
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CopyCat is an AI-driven automation tool designed to simplify repetitive computer tasks, especially those in web browsers. It enables users to record their actions a single time and then automatically replicate them, substantially cutting down time spent on mundane activities, enhancing efficiency, and decreasing errors. The tool is perfect for business users, IT specialists, and anyone aiming to streamline their digital workflows, ultimately increasing productivity and allowing more focus on essential work aspects.
Paid
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Glean is an AI-driven search tool designed to boost productivity and engagement in the workplace. It employs generative AI for semantic comprehension of natural language queries. Glean consistently learns from the language and context of a company, enhancing search relevance without the need for manual adjustments. It delivers personalized results, facilitates knowledge discovery, and ensures secure, private chats. Glean creates a knowledge graph to tailor search outcomes and recommend pertinent information. With over 100 connectors, it seamlessly integrates with existing applications, while maintaining data source permissions. Glean is commended for its ability to save time and improve productivity across diverse enterprise teams.