yokingma/deepresearch
🤖 AI Agentyokingma
A modular DeepResearch agent built with LangGraph, supporting custom LLMs, search engines, and RAG pipelines.
The yokingma/deepresearch project is a specialized agentic framework designed to streamline the process of automated deep research. By utilizing LangGraph, the project offers a robust state-machine approach to managing complex agent workflows, ensuring that research tasks—such as query generation, search execution, and document synthesis—are handled in a logical, iterative loop.
Key technical features include its model-agnostic design, which allows users to swap between different OpenAI-compatible LLMs depending on their specific performance or cost requirements. The integration of RAG (Retrieval-Augmented Generation) capabilities enables the agent to process and ground its findings in retrieved data, reducing hallucinations. Built with TypeScript, the codebase is modular and extensible, making it an ideal starting point for developers aiming to build custom research assistants that require deep web exploration and structured report generation.
💡Highlights
- ├─Built on LangGraph for state control
- ├─Supports any OpenAI-compatible LLM
- └─Integrated RAG and search workflows
🎯For
- ├─AI Engineers
- └─Software Developers