It is an agent designed for sourcing, curating, and scheduling social media posts with a human-in-the-loop (HITL) approach. The agent takes a URL as input and generates Twitter and LinkedIn posts based on the content of the URL. It incorporates a HITL workflow to handle authentication with social media platforms and allows users to review, modify, accept, or reject the generated posts before publishing. The agent supports advanced features such as posting to LinkedIn as an organization, uploading media to Twitter, and integrating with tools like Supabase for image storage, Slack for message ingestion, and GitHub for repository-related content.
To use the agent, users must set up environment variables, including API keys for social media platforms and other services like Arcade, Twitter, LinkedIn, Supabase, and Slack. The agent can be run in a basic setup mode for quick use or a full setup mode for advanced functionality. It includes a LangGraph CLI for server management and supports cron jobs for automated link ingestion from Slack channels. The Agent Inbox feature allows users to manage interrupted events and review generated posts. Customization options are available for modifying prompts and post styles to suit specific use cases. The agent is particularly tailored for generating posts related to LangChain but can be adapted for other contexts by updating relevant prompts and configurations.
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It is an automation framework designed to guide interacting AI agents through the entire process of scientific research, starting from raw data and culminating in the creation of transparent, backward-traceable, and human-verifiable scientific papers.
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It is an AI-powered incident resolution platform designed to help on-call engineers and Site Reliability Engineers (SREs) reduce Mean Time to Resolution (MTTR) by up to 90%.
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