Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. It offers MCP server support and SSE APIs, so IDEs and agent clients can drive the same workflow programmatically. The result is a repeatable process for scoping questions, collecting evidence, and producing a concise report with citations and reasoning steps.
Features
- Local processing with no cloud data retention
- Multi-model orchestration for planning and synthesis
- Live web search, crawl, and source ingestion
- Streaming UI with progress and intermediate notes
- MCP and SSE APIs for tool/agent integration
- Structured research reports with sources and reasoning