Flowise

It is an open-source, low-code tool designed for developers to build customized Large Language Model (LLM) orchestration flows and AI agents.

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Flowise AI Agent Competitors

It is an open-source, low-code tool designed for developers to build customized Large Language Model (LLM) orchestration flows and AI agents. Flowise enables quick iterations, allowing users to move from testing to production efficiently. It connects LLMs with memory, data loaders, cache, moderation, and other components, facilitating the creation of autonomous agents capable of executing various tasks using tools. The platform supports integration with applications via APIs, SDKs, and embedded chat, and can run in air-gapped environments using local LLMs, embeddings, and vector databases.

Flowise is trusted and used by teams globally, offering a drag-and-drop UI that simplifies the development of LLM apps. It includes ready-to-use templates, conversational agents with memory, and seamless deployment on cloud platforms. The tool is powered by LangChain and supports multi-modal chatbots that merge text and image generation into seamless conversations. It also allows users to create chatbots that interact with PDFs, Excel files, and other data sources.

Flowise is available in three pricing tiers: $35/month for individuals and small teams, $65/month for medium-sized businesses, and custom pricing for large organizations. A free 14-day trial is offered without requiring a credit card. The platform is highly regarded in the open-source community, with over 12,000 stars on GitHub, and is praised for its ability to visualize chains and streamline the development of LLM apps.

Use cases include product catalog chatbots, AI newsletter agents, and project management integrations with tools like Notion and Slack. Flowise also supports advanced functionalities such as real-time data retrieval from GPS devices and the creation of Telegram bots. Its versatility and ease of use make it a valuable tool for developers and businesses looking to build and deploy AI-driven applications quickly and efficiently.

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