AutoResearcher is a command-line AI agent designed to streamline literature and web research workflows. Users supply a research prompt or topic, and the agent conducts automated searches across search engines and academic databases, retrieves and filters sources based on relevance, and uses GPT models to generate concise summaries. It then ranks and organizes findings into a coherent report or literature review. With configurable settings for search depth, summarization style, and output format, AutoResearcher accelerates knowledge gathering and synthesis in minutes instead of days.

Content Summarizer with AI Agents orchestrates a sequence of specialized AI agents to streamline content summarization workflows. A FetchAgent retrieves text from URLs or local files, while a PreprocessingAgent cleans and segments content. A SummarizationAgent generates concise summaries for each segment using GPT models, and a FeedbackAgent iteratively refines the output for coherence and relevance. The tool supports customization of summary length and tone, handles long documents through chunking, and produces final summaries in plain text or JSON formats. It requires a valid OpenAI API key and runs in a standard Python environment.