HubLensAgentic AIgetcompanion-ai/feynman
// archived 2026-04-10
110

// summary

Feynman is an open-source AI research agent designed to assist with complex tasks like literature reviews, paper auditing, and experiment replication. The platform utilizes a multi-agent system to gather evidence, perform simulated peer reviews, and draft structured research findings. Users can interact with the tool via a terminal interface, supporting both local and cloud-based execution environments.

// technical analysis

Feynman is an open-source AI research agent designed to automate complex academic and technical investigations through a multi-agent architecture. By leveraging the Pi runtime and integrating specialized tools like AlphaXiv and Docker, it addresses the challenge of synthesizing information from disparate sources into verifiable, cited research briefs. The project prioritizes source-grounded outputs, ensuring that all claims are linked to original papers, documentation, or codebases, which significantly enhances the reliability of automated research workflows.

// key highlights

01
Utilizes a multi-agent system featuring specialized roles like Researcher, Reviewer, Writer, and Verifier to handle distinct stages of the investigation process.
02
Provides deep research capabilities that enable parallel investigation, synthesis, and verification of complex topics.
03
Supports automated paper-to-codebase auditing to identify discrepancies between research claims and actual implementation.
04
Integrates with serverless and persistent GPU compute providers like Modal and RunPod to facilitate experiment replication.
05
Offers a modular skill system based on Markdown instructions, allowing for extensible research workflows without requiring core code changes.
06
Ensures high-quality output by enforcing inline citations and source URL verification for all generated research artifacts.

// use cases

01
Conducting multi-agent deep research and literature reviews on specific topics.
02
Auditing research papers by comparing claims against public codebases.
03
Replicating experiments using local or cloud-based GPU compute resources.

// getting started

To begin, install the Feynman CLI using the provided one-line curl or PowerShell script for your operating system. Once installed, you can initiate research tasks directly from your terminal using natural language or slash commands like /deepresearch or /lit. For local model support, use the 'feynman setup' command to configure your custom provider and API keys.