Ultimate Flujos de conversación Solutions for Everyone

Discover all-in-one Flujos de conversación tools that adapt to your needs. Reach new heights of productivity with ease.

Flujos de conversación

  • WhatsApp marketing automation and sales platform.
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    What is Hello24ai?
    Hello24.ai is a powerful WhatsApp marketing and sales automation platform designed to help businesses engage with their customers seamlessly. Leveraging proprietary AI technology, it offers pre-built e-commerce conversational flows, enabling easy two-click payments and pre-integrated payment gateways. The platform supports D2C and B2C e-commerce brands, ensuring a smooth shopping experience and higher conversion rates.
  • LangBot is an open-source platform integrating LLMs into chat terminals, enabling automated responses across messaging apps.
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    What is LangBot?
    LangBot is a self-hosted, open-source platform that enables seamless integration of large language models into multiple messaging channels. It offers a web-based UI for deploying and managing bots, supports model providers including OpenAI, DeepSeek, and local LLMs, and adapts to platforms such as QQ, WeChat, Discord, Slack, Feishu, and DingTalk. Developers can configure conversation workflows, implement rate limiting strategies, and extend functionality with plugins. Built for scalability, LangBot unifies message handling, model interaction, and analytics into a single framework, accelerating the creation of conversational AI applications for customer service, internal notifications, and community management.
  • A Laravel package to integrate and manage AI-driven agents, orchestrating LLM workflows with customizable tools and memory.
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    What is AI Agents Laravel?
    AI Agents Laravel provides a comprehensive framework for defining, managing, and executing AI-driven agents inside Laravel applications. It abstracts interactions with various large language models (OpenAI, Anthropic, Hugging Face) and offers built-in support for tool integrations, such as HTTP requests, database queries, and custom business logic. Developers can define agents with custom prompts, memory backends (in-memory, database, Redis), and decision-making rules to handle complex conversational flows or automated tasks. The package includes event logging, error handling, and monitoring hooks to track agent performance. It facilitates rapid prototyping and seamless integration of intelligent assistants, data parsers, and workflow automation directly in web environments.
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