David-patrick-chuks/Riona-AI-Agent
Riona AI Agent
Riona-AI-Agent is an LLM automation agent and browser automation framework designed to execute complex workflows, train on custom data, and generate AI content. It functions as a social media automation tool for scheduling content, managing multiple profiles, and automating engagement actions across social platforms.
The system includes a centralized monitoring dashboard for tracking the live status, runtime summaries, and activity logs of AI agents. It utilizes machine learning models to identify and bypass visual security challenges during automated browsing sessions.
The agent's capabilities cover social media automation, including the automation of repetitive interactions and the scheduling of posts. It supports AI agent training through the ingestion of web links, audio, and documents to customize the agent's knowledge base and behavior.
The framework is built using Node.js and 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.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
