CogAgent is a research-oriented, open-source Python library designed to streamline the development of AI agents. It provides core modules for memory management, planning and reasoning, tool and API integration, and chain-of-thought execution. With its highly modular architecture, users can define custom tools, memory stores, and agent policies to create conversational chatbots, autonomous task planners, and workflow automation scripts. CogAgent supports integration with popular LLMs such as OpenAI GPT and Meta LLaMA, allowing researchers and developers to experiment, extend, and scale their intelligent agents for a variety of real-world applications.

Tech Research Agent operates by first receiving a research query, then dispatching web searches via Google Serp API. It crawls result URLs, extracts code samples and textual content, applies natural language processing for summarization, and builds a knowledge graph of key concepts. Using OpenAI GPT, it synthesizes findings into coherent technical reports in markdown format. It supports customization of search depth, summarization granularity, and output templates. With built-in caching and parallel processing, the agent accelerates large-scale literature reviews, API explorations, and competitive analysis, enabling users to quickly identify trends, best practices, and relevant code examples for technology evaluation.