Comprehensive configuração em JSON Tools for Every Need

Get access to configuração em JSON solutions that address multiple requirements. One-stop resources for streamlined workflows.

configuração em JSON

  • An open-source engine for creating and managing AI persona agents with customizable memory and behavior policies.
    0
    0
    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
  • A lightweight JavaScript framework to build AI agents that chain tool calls, manage context, and automate workflows.
    0
    0
    What is Embabel Agent?
    Embabel Agent provides a structured approach for building AI agents in Node.js and browser environments. Developers define tools—such as HTTP fetchers, database connectors, or custom functions—and configure agent behaviors through simple JSON or JavaScript classes. The framework maintains conversation history, routes queries to the appropriate tool, and supports plugin extensions. Embabel Agent is ideal for creating chatbots with dynamic capabilities, automated assistants that interact with multiple APIs, and research prototypes that require on-the-fly orchestration of AI calls.
Featured