Danus Scales Multi-Agent Math Reasoning

By treating memory as a structured, verified fact graph rather than a fuzzy semantic retrieval database, Danus solves the logical drift and hallucination issues that plague multi-agent workflows in complex mathematical reasoning.

* **Paradigm Shift in Memory:** Traditional retrieval-augmented generation (RAG) is insufficient for exact logical reasoning. Storing memory as a validated graph where nothing enters without verification prevents cascading reasoning errors.

* **Rigorous Verification Layer:** Having a dedicated stateless verifier acts as a gatekeeper, shielding the global fact graph from incorrect or hallucinated claims generated during parallel proof searches.

* **Demonstrated Research Success:** The framework has already demonstrated real-world efficacy, autonomously generating major portions of published algebraic geometry papers without human guidance.

* **Human-in-the-loop Friendly:** The structured graph representation provides a natural, interpretable interface for human mathematicians to inspect, track, and redirect agent progress.