Feynman is a command-line AI research agent designed to automate complex research workflows by orchestrating multiple specialized agents that collaborate to gather, analyze, and synthesize information into structured outputs. It operates as a “Claude Code for research,” allowing users to input natural language queries and receive fully developed, source-grounded research briefs, literature reviews, or experimental analyses. The system is built around a multi-agent architecture that includes roles such as researcher, reviewer, writer, and verifier, each responsible for a specific stage of the research pipeline. It supports advanced workflows like deep research investigations, paper replication, peer review simulation, and autonomous experimentation, enabling users to go beyond simple question answering into full research automation.
Features
- Multi-agent system with researcher, reviewer, writer, and verifier roles
- Natural language interface for initiating complex research workflows
- Support for deep research, literature review, and experiment replication
- Integration with web search, paper analysis, and GPU compute tools
- Source-grounded outputs with citation verification and traceability
- Persistent sessions with artifact tracking and iterative refinement