Banger paper from NVIDIA on shared memory for research agents.

(bookmark it)

If you run several coding agents on the same research problem, this design keeps them from repeating each other's experiments and lets each agent build on results the others have already verified.

Agora records every result, hypothesis and verification as an immutable Git commit.

Parent edges show what each claim builds on, and an index lists open branches and which claims have been verified.

They ran 13 LLM workers for nearly 12 days without assigned tasks or a central planner. The workers had to initialize a 119.6M-parameter hybrid model from 141 donor models without training data or gradient updates.

The workers posted 1,703 contributions.

They cut the evaluator from 3.39 to 1.899 bits per byte, closing 62% of the gap to a trained GPT-2 124M. All 165 independent reproductions succeeded.

Paper: https://arxiv.org/abs/2609.18094

Chat with Paper: https://academy.dair.ai/papers/agora-git-as-shared-memory-for-collective-autoresearch-2609.18094