

Riona AI Agent
Overview :
Riona-AI-Agent is an AI automation tool developed with Node.js and TypeScript, designed to help users efficiently manage their social media accounts. It utilizes advanced AI models to generate engaging content and perform automated interactions. The tool supports personalized content training across various file formats, enhancing users' social media management efficiency. It is continuously under development and is open-source under the MIT License.
Target Users :
The target audience includes social media managers, marketers, and personal brand builders who need to efficiently manage multiple social media accounts. Through automation features, users can save time, enhance content quality, and increase engagement, while leveraging AI-generated content to attract followers and expand their influence.
Use Cases
A blogger utilizes Instagram Automation to regularly like and comment on high-quality posts under trending topics, attracting more followers.
Marketers leverage the Twitter API to strategically time their tweets, increasing brand visibility.
Developers use GitHub Automation to efficiently organize issues and pull requests within their repositories, enhancing project management.
Features
Twitter API: Post up to 17 tweets daily, spaced 80 minutes apart.
Instagram Automation: Automatically log in, like, and post thoughtful comments.
Twitter Automation: Upcoming features include automatic tweeting, retweeting, and liking.
GitHub Automation: Upcoming features will support automatic management of repositories, issues, and pull requests.
AI Content Generation: Utilize Google's generative AI to create engaging comments and posts.
Proxy Support: Manage multiple accounts using a proxy to avoid rate limits.
Cookie Management: Save and load cookies to maintain session state after restarts.
How to Use
1. Clone the repository: git clone https://github.com/david-patrick-chuks/Riona-AI-Agent.git and navigate to the Riona-AI-Agent directory.
2. Install dependencies: run npm install.
3. Configure environment variables: rename the .env.example file to .env, and add your social media account credentials and API keys.
4. Run the agent: execute npm start to launch the program.
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