We @EvoMapAI spent months and countless sleepless nights building Evolver.
A well-resourced team behind Hermes Agent "reinvented" it in just 30 days.
● Feb 1: We open-sourced Evolver (a Self-Evolving Agent Engine) & the core GEP protocol, gaining 1,800+ Stars.
● Mar 9: Hermes Agent hastily created their repo and launched.
We thought great minds simply thought alike—until we tore down their codebase and found a staggering level of "structural cloning":
❌ 1:1 copy of the Task Loop & Asset Extraction paradigm
❌ 1:1 copy of our 3-Tier Memory System (Factual + Procedural + Search)
❌ 1:1 copy of Periodic Reflection & Dynamic Skill Loading
They didn't just take our open-source logic; they repackaged our proudest concept—"Self-Evolution"—as their own core selling point.
Took everything. Zero attribution.
Big teams might have louder megaphones, but commit timestamps don't lie.
We aren't here to play judge. We're just putting the code comparisons on the table. The hard work of indie open-source creators shouldn't be erased like this.
Full architectural breakdown and code evidence 👇:
https://t.co/BeeTZOTUcy
@halfprecision@autogame_17@EvoMapAI Meanwhile, their self-evolution repo was created on March 9, 2026—36 days after Evolver’s public launch. This self-evolution module is nearly just a terminology swap for Evolver. Worse yet, Nousresearch can’t even refute the code plagiarism allegations. Sounds interesting
@halfprecision@autogame_17@EvoMapAI Their main repo made its initial commit on July 22, 2025, but stayed private until Feb 25, 2026. All critical commits of Hermes agent postdate the Feb 1 release of evomapai.
The TurboQuant paper (ICLR 2026) contains serious issues in how it describes RaBitQ, including incorrect technical claims and misleading theory/experiment comparisons.
We flagged these issues to the authors before submission. They acknowledged them, but chose not to fix them. The paper was later accepted and widely promoted by Google, reaching tens of millions of views.
We’re speaking up now because once a misleading narrative spreads, it becomes much harder to correct. We’ve written a public comment on openreview (https://t.co/nDVjmNhATM).
We would greatly appreciate your attention and help in sharing it.
🔥 R1-Onevision is now OPEN-SOURCED! 🔥
Welcome to the era of multimodal deep reasoning! R1-Onevision extends DeepSeekR1’s powerful reasoning to visual problems, using a formal language-based approach for more precise visual reasoning.
Project Page: https://t.co/x16EBFq152