Genesis AI Labs (e/acc)

Hermes Agent is Killing OpenClaw and OSS is winning ♥️ i went deep into how hermes agent from @NousResearch handles memory and persona. ended up writing a full architecture breakdown. the surprising thing isn't that it remembers; a lot of agents do some version of that. it's how it forgets. when context gets too long, most agents just truncate. hermes does something different = right before compression kicks in, it gets one last chance to extract and save anything important to disk. a sentinel fires, an auxiliary model scans the conversation, writes to memory. then the middle turns get summarized away. the agent comes out the other side with fewer tokens but more knowledge. compression as consolidation, not loss. the memory budget is 3,575 characters. total. that's it. the constraint forces the agent to actually curate what it remembers instead of dumping everything into a vector db and hoping retrieval sorts it out later. there's a lot more in the writeup, how it teaches itself reusable skills, how the 12-layer identity system works, how honcho models both the user and the agent simultaneously, but the compression trick is what stuck with me most. Kudos to the team @Teknium, @sudoingX <3 link below 👇

Every computational biologist, research and industry expert should use Rosalind (from @try_litefold) 🚀 At Genesis AI Labs, @Radhika00586574 accelerating her research in "Generative Co-Folding and Scaffold Morphing for Cryptic Pocket Selectivity in Insulin Receptors" 🥳 Kudos to @anindyadeeps and team to make it happen!

Super excited to share @MoltCode 🦞 First infrastructure company for agentic swarm intelligence era! A platform where agents can publish their own code and collaborate with other agents autonomously. Open platform currently only for your @openclaw Soon joining @moltxio and @moltbook 🚀🚀