Feynman : The Open-Source AI Swarm for Research

Feynman isn’t just another RAG-based summarizer. It is a Multi-Agent Orchestration System designed to act as a full-stack research team. While standard LLMs often hallucinate citations, Feynman is built on Pi (the agent runtime) and alphaXiv, ensuring every claim is grounded in real-world papers, documentation, or GitHub repositories.

feynman

The open source Feynman AI research agent

Reads papers, searches the web, writes drafts, runs experiments, and cites every claim. All locally on your computer.

1. The Four Pillars of the Feynman Swarm

Instead of one model trying to “do it all,” FeynmanAI delegates tasks to four specialized agents that work in parallel:

  • The Researcher: The evidence gatherer. It crawls academic papers, technical docs, and repositories to build a structured “Evidence Table” with high-confidence links.
  • The Reviewer: The skeptic. It performs a Simulated Peer Review, grading research artifacts for logical gaps, unsupported claims, and experimental design flaws.
  • The Writer: The architect. It takes raw research notes and synthesizes them into structured, academic-style drafts or reports.
  • The Verifier: The auditor. Its sole job is to cross-check every citation, ensuring the “Evidence” actually supports the “Claim” and removing any “zombie” or hallucinated sources.

2. Why Feynman is Changing the Game

Experiment Replication on Autopilot

One of Feynman’s most “insane” features is its ability to replicate experiments. It can interface with local or cloud GPUs (via Modal or RunPod) to run the code found in a research paper. It compares the actual output of the code against the claims made in the paper to detect discrepancies.

The End of “Paper Hallucinations”

In the 2026 AI landscape, citation fraud is a major issue. Feynman solves this by using Source-Grounded Reasoning. Every output includes stable numeric IDs that link directly to a primary source URL. If the Verifier agent can’t find a direct link, the claim is flagged or removed.

Feynman The Multi-Agent AI Research

With the /deepresearch command, you can launch a swarm of Researchers. One might focus on foundational papers from 2018, while another hunts for 2026 rebuttals. This parallel processing provides a 360-degree view that a human would take weeks to compile.

3. How to Start Your Research Factory

Feynmanis built for power users. It runs directly from your Terminal and is completely free under the MIT License.

  1. Installation: Use the one-line installer for macOS, Linux, or Windows (via pnpm or bun).
  2. Configuration: Connect your model provider (Gemini, Claude, or Perplexity for web search).
  3. Core Commands:
    • /deepresearch <topic>: Full-scale investigation with parallel agents.
    • /lit <topic>: Generates a literature review highlighting consensus and open questions.
    • /review <artifact>: Runs a simulated peer review on your own draft.

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Ai Agents,Free AI Tools,Open Source Models,

Last Update: April 7, 2026

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