Deep Research is a tool for generating in-depth research reports using any large language model through a unified interface.
The tool addresses the need to produce comprehensive research reports quickly by orchestrating multiple AI models with different capabilities. It combines "Thinking" models, which perform extended reasoning, with "Task" models that execute specific research steps, and integrates internet connectivity to gather current information. The system processes queries through this multi-model pipeline to synthesize findings into structured reports within minutes. All data processing and storage occurs locally, keeping user information private.
Deep Research supports a broad range of language models including those from Anthropic, OpenAI, Google, Deepseek, Grok, and Ollama, making it adaptable to different deployment scenarios and model preferences. The tool exposes its functionality through both a Server-Sent Events API for streaming responses and as a Model Context Protocol server, enabling integration into various applications and workflows. This flexibility suits teams that want deep research capabilities without vendor lock-in, as well as those operating in environments with specific model requirements or local-only constraints.
The project shows consistent development activity with regular updates and maintenance. The codebase is actively refined with improvements to core functionality. The tool maintains active deployment infrastructure and receives ongoing community engagement through Docker distribution channels.
