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modularer Rahmen

  • 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.
    CoreLink-Persona-Engine Core Features
    • Persona definition via JSON/YAML
    • Short-term and long-term memory management
    • Plugin architecture for knowledge and logic
    • LLM integration (OpenAI, Hugging Face, local models)
    • Conversation orchestration and logging
    • Analytics dashboard for monitoring
  • An open-source Python framework to prototype and deploy customizable AI agents with memory management and tool integrations.
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    What is AI Agent Playground?
    AI Agent Playground provides a modular environment for developers and researchers to build sophisticated AI-driven agents capable of reasoning, planning, and executing tasks autonomously. By leveraging pluggable memory systems, customizable tool interfaces, and an extensible plugin architecture, users can define agents that interact with web services, databases, and custom APIs. The framework offers prebuilt templates for common agent roles such as information retrieval, data analysis, and automated testing, while also supporting deep customization of decision-making logic. Users can monitor agent workflows through a command-line interface, integrate with CI/CD pipelines, and deploy on any platform supporting Python. Its open-source nature encourages community contributions, enabling rapid innovation in autonomous agent capabilities.
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