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bots d'assistance client

  • Pentagi is an AI agent development platform enabling users to design, deploy and manage autonomous task-specific conversational agents seamlessly.
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    What is Pentagi?
    Pentagi is a no-code AI agent platform that lets you create, train, and deploy intelligent conversational agents for various business scenarios. Using its visual flow builder, you define intents, entities, and response actions. Integrations with external APIs enable dynamic data retrieval and automated task execution. Deploy your agents on web chat widgets, messaging apps, or mobile SDKs, then monitor performance through a built-in analytics dashboard to optimize conversations and agent effectiveness.
    Pentagi Core Features
    • Visual Conversation Flow Builder
    • No-code Agent Designer
    • Integration Hub for APIs
    • Custom Action Triggers
    • Multi-channel Deployment
    • Real-time Analytics Dashboard
    • Role-based Access Control
    • Versioning and Rollback
    Pentagi Pro & Cons

    The Cons

    May require technical expertise to deploy and operate effectively.
    Limited information on pricing models and licensing on the website.
    No mobile app availability on Google Play or App Store.
    Potential dependency on external AI service providers.

    The Pros

    Fully autonomous penetration testing with AI-driven task execution.
    Sandboxed Docker environment ensures security and isolation.
    Real-time monitoring and history tracking of testing processes.
    Integration with multiple AI service providers like OpenAI and Anthropic.
    Open source with an active GitHub repository for transparency and collaboration.
    Customizable APIs and modern UI enhance usability and extensibility.
  • An open-source engine for creating and managing AI persona agents with customizable memory and behavior policies.
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    What is CoreLink-Persona-Engine?
    CoreLink-Persona-Engine is a modular framework that empowers developers to create AI agents with unique personas by defining personality traits, memory behaviors, and conversation flows. It provides a flexible plugin architecture to integrate knowledge bases, custom logic, and external APIs. The engine manages both short-term and long-term memory, enabling contextual continuity across sessions. Developers can configure persona profiles using JSON or YAML, connect to LLM providers like OpenAI or local models, and deploy agents on various platforms. With built-in logging and analytics, CoreLink facilitates monitoring agent performance and refining behavior, making it suitable for customer support chatbots, virtual assistants, role-playing applications, and research prototypes.
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