Feynman debuts open-source multi-agent research assistant
Feynman is an autonomous research system designed to automate complex scientific and machine learning workflows by coordinating specialized agents. It goes beyond simple search to perform deep literature reviews, audit paper claims against codebases, and replicate experiments on local or cloud-based GPUs.
Feynman represents a shift toward "autonomous science," moving from simple information retrieval to rigorous multi-step reasoning and verification.
- –Specialized agents for research, review, writing, and verification work in parallel to produce source-grounded reports with direct citations.
- –The platform's ability to audit research paper claims against public repositories provides a critical tool for developers and researchers to verify technical accuracy.
- –Seamless integration with cloud GPU providers like Modal and RunPod enables one-click experiment replication directly from the research workflow.
- –By exposing its chain of reasoning and enforcing strict grounding, the system addresses the common "black box" and hallucination issues found in standard LLM assistants.
DISCOVERED
73d ago
2026-03-28
PUBLISHED
73d ago
2026-03-28
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