Comprehensive 上下文持續性 Tools for Every Need

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上下文持續性

  • 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
  • AiChat provides customizable AI chat agents with role-based prompt configuration, multi-turn conversation, and plugin integration.
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    What is AiChat?
    AiChat offers a versatile toolkit for creating intelligent chat agents by providing role-based prompt management, memory handling, and streaming response capabilities. Users can set up multiple conversational roles, such as system, assistant, and user, to shape dialogue context and behavior. The framework supports plugin integrations for external APIs, data retrieval, or custom logic, enabling seamless extension of functionalities. AiChat's modular design allows easy swapping of language models and configuration of feedback loops to refine responses. Built-in memory features provide context persistence across sessions, while streaming API support delivers low-latency interactions. Developers benefit from clear documentation and sample projects to accelerate deployment of chatbots across web, desktop, or server environments.
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