David-patrick-chuks/Riona-AI-Agent
Riona AI Agent
Riona-AI-Agent es un agente de automatización LLM y un framework de automatización de navegadores diseñado para ejecutar flujos de trabajo complejos, entrenar con datos personalizados y generar contenido mediante IA. Funciona como una herramienta de automatización de redes sociales para programar contenido, gestionar múltiples perfiles y automatizar acciones de interacción en plataformas sociales.
El sistema incluye un panel de monitoreo centralizado para rastrear el estado en vivo, resúmenes de tiempo de ejecución y registros de actividad de los agentes de IA. Utiliza modelos de aprendizaje automático para identificar y omitir desafíos de seguridad visual durante sesiones de navegación automatizadas.
Las capacidades del agente cubren la automatización de redes sociales, incluyendo la automatización de interacciones repetitivas y la programación de publicaciones. Admite el entrenamiento de agentes de IA mediante la ingesta de enlaces web, audio y documentos para personalizar la base de conocimientos y el comportamiento del agente.
El framework está construido utilizando Node.js y TypeScript.
Features
- Agentic Workflow Automation - Provides an intelligent agent that coordinates complex workflows, trains on custom data, and generates AI content.
- Agent Knowledge Customization - Allows training agents by ingesting information from web links, audio files, and documents.
- Agent Training - Customizes AI agent knowledge and behavior by ingesting external web links and documents.
- Social Media Automation - Automates repetitive interactions and schedules content across multiple social platforms to increase engagement.
- Social Posting Schedulers - Queues images and text for automated publication at specific future times across social platforms.
- Style-Guided Generation - Generates AI captions and comments that adhere to pre-defined styles and brand voices.
- AI Content Generators - Creates AI-generated captions and comments based on specific formats and guided responses.
- Social Engagement Automations - Automates repetitive social interactions such as liking, commenting, and messaging to increase account engagement.
- Knowledge Base Ingestion - Ingests web links, audio, and documents to build a context-aware knowledge base for agent behavior.
- Browser Automation Frameworks - Implements a Node.js and TypeScript framework for programmatically automating web browser interactions and solving captchas.
- Account Profile Switching - Ships a mechanism to switch between multiple authenticated social media profiles using a central configuration file.
- Social Media Automation Clients - Offers a unified interface to automate social media actions including posting, session management, and engagement.
- Asynchronous Agent Job Execution - Manages and triggers long-running AI agent tasks asynchronously to handle complex operational logic.
- CAPTCHA Solving - Uses machine learning to solve CAPTCHA challenges during automated browsing sessions.
- Automated Captcha Solvers - Integrates machine learning models to identify and bypass visual security challenges during automated browsing.
- Multi-Account Session Management - Enables switching and persisting multiple authenticated sessions for different social media profiles.
- Agent Health Monitoring - Tracks the live status, connectivity, and runtime health of autonomous AI agents.
- AI Agent Execution Monitors - Ships a centralized dashboard for capturing execution events and monitoring real-time AI agent performance.
- Automation Activity Logging - Records detailed execution logs and operation summaries of automated agent actions for auditing.
- Centralized Logging Systems - Implements a centralized system for aggregating and storing runtime events and operation summaries for auditing.
- Real-Time Monitoring Dashboards - Provides a dedicated dashboard for tracking the live status and recent action histories of AI agents.
