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Comprehensive journalisation des interactions Tools for Every Need

Get access to journalisation des interactions solutions that address multiple requirements. One-stop resources for streamlined workflows.

journalisation des interactions

  • AgentQL MCP Integration

    Integrates AgentQL AI agents with the Multi-channel Communication Platform to send and receive email, SMS, and chat messages.
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    What is AgentQL MCP Integration?
    AgentQL MCP Integration is a connector that bridges AgentQL’s intelligent agent orchestration framework with the Multi-channel Communication Platform (MCP), enabling AI agents to engage users across multiple messaging channels. By installing the agentql-mcp package, developers can configure API credentials and define communication channels such as email, SMS, and live chat. The integration automatically routes prompts and responses, maintains conversation state, and logs interactions for monitoring purposes. Whether powering chatbots for customer service, sending automated notifications for enterprise workflows, or enabling real-time sales assistance, this integration offers a unified, scalable solution to extend AI-driven messaging capabilities across diverse endpoints.
    AgentQL MCP Integration Core Features
    • Multi-channel messaging via email, SMS, and chat
    • Automated prompt routing and response handling
    • Conversation context management
    • API key-based authentication
    • Interaction logging and monitoring
    AgentQL MCP Integration Pro & Cons

    The Cons

    Requires configuration and API key management which may be complex for beginners.
    No direct mention of commercial pricing or free tier limitations.
    Primarily command-line based, which may not suit all users.

    The Pros

    Open source and actively maintained.
    Supports integration with multiple AI clients and frameworks.
    Enables real-time, context-aware web data extraction.
    Enhances AI agents by providing structured web data for improved automation.

  • Doraemon-Agent

    Doraemon-Agent is an open-source Python framework that orchestrates multi-step AI agents with plugin integration and memory management.
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    What is Doraemon-Agent?
    Doraemon-Agent is an open-source Python platform and framework designed for developers to build sophisticated AI agents. It allows you to integrate custom plugins and external tools, maintain long-term memory across sessions, and execute chain-of-thought planning with multiple steps. Developers can configure agent roles, manage context, log interactions, and extend functionality through a plugin architecture. It simplifies the creation of autonomous assistants for tasks like data analysis, research support, or customer service automation.

  • RainbowGPT

    Self-hosted AI agent management platform enabling creation, customization, and deployment of GPT-based chatbots with memory and plugin support.
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    What is RainbowGPT?
    RainbowGPT provides a complete framework for designing, customizing, and deploying AI agents powered by OpenAI models. It includes a FastAPI backend, LangChain integration for tool and memory management, and a React-based UI for agent creation and testing. Users can upload documents for vector-based knowledge retrieval, define custom prompts and behaviors, and connect external APIs or functions. The platform logs interactions for analysis and supports multi-agent workflows, enabling complex automation and conversational pipelines.
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