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Leistungstracking von Agenten

  • Arakoo.ai empowers businesses with customizable AI Agents to automate customer support, lead generation, and routine workflows seamlessly.
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    What is Arakoo.ai?
    Arakoo.ai is an AI Agent platform designed to help businesses automate repetitive tasks and enhance customer interactions through intelligent virtual assistants. Users can select from a library of pre-built agent templates—such as support bots, sales assistants, and scheduling bots—or create custom agents using a visual workflow builder. The platform integrates with CRM systems, messaging apps, and ticketing tools, allowing agents to fetch data, answer queries, and escalate complex issues seamlessly. Arakoo.ai also offers analytics dashboards to track agent performance, conversation metrics, and user satisfaction. Advanced NLP capabilities ensure agents understand context and intent, while iterative training features enable continuous improvement based on real-world interactions.
    Arakoo.ai Core Features
    • No-code visual agent builder
    • Pre-built templates for support, sales, and scheduling
    • Omnichannel integrations (CRM, messaging apps, social media)
    • Real-time analytics and performance dashboards
    • Natural Language Understanding and contextual awareness
    • Continuous learning and model retraining
  • Open-source Python framework enabling autonomous AI agents to set goals, plan actions, and execute tasks iteratively.
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    What is Self-Determining AI Agents?
    Self-Determining AI Agents is a Python-based framework designed to simplify the creation of autonomous AI agents. It features a customizable planning loop where agents generate tasks, plan strategies, and execute actions using integrated tools. The framework includes persistent memory modules for context retention, a flexible task scheduling system, and hooks for custom tool integrations such as web APIs or database queries. Developers define agent goals via configuration files or code, and the library handles the iterative decision-making process. It supports logging, performance monitoring, and can be extended with new planning algorithms. Ideal for research, automating workflows, and prototyping intelligent multi-agent systems.
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