Deep Research AI Agent is an open-source Python framework designed for conducting comprehensive research tasks. It leverages integrated web search, PDF ingestion, and NLP pipelines to discover relevant sources, parse technical documents, and extract structured insights. The agent chains requests through LangChain and OpenAI, enabling context-aware question answering, automated citation formatting, and multi-document summarization. Researchers can adjust search scopes, filter by publication date or domain, and output reports in markdown or JSON. This tool minimizes manual literature review time and ensures consistent, high-quality summaries across diverse research domains.

ImageAgent is a Python-based AI agent framework that connects to OpenAI’s APIs and vision models to perform text-to-image generation, image editing (inpainting, style transfer), and image analysis (captioning, object detection). It uses LangChain-like agent orchestration to manage multiple steps autonomously, handles prompt parsing, and can be extended with custom tools and pipelines for tailored image workflows.