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Scientists Found A Better Language For AI Agents

2026-06-19 · 14:06 UTC ·Two Minute Papers ·0 min read

Brief

Two Minute Papers (video, 2026-06-19) presents RecursiveMAS, a newly released research project and codebase that proposes an improved emergent communication language for AI agents to enhance coordination. The short presentation highlights the paper and GitHub repo, links to demos (including a related brain‑reading video), and lists sponsorship and Patreon supporters for the channel.

Why it matters

Two Minute Papers (published 2026-06-19) covers a new project called RecursiveMAS (paper and code at https://recursivemas.github.io/ and https://github.com/RecursiveMAS/RecursiveMAS) that proposes a better communication language/protocol for AI agents to improve multi-agent coordination.

Key details

  • The video points to additional resources and demos (including a related brain‑reading video) and includes a Weights & Biases sponsorship link and Patreon acknowledgements; the Two Minute Papers video URL is https://www.youtube.com/watch?v=dUmT0OIGoqE.
Source evidence

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.me/papers

📝 The paper is available here:
https://recursivemas.github.io/
https://github.com/RecursiveMAS/RecursiveMAS

Brain reading video: https://www.youtube.com/watch?v=IUg-t609byg

🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi

Channel: Two Minute Papers
Published: 2026-06-19
Video URL: https://www.youtube.com/watch?v=dUmT0OIGoqE