manthangupta109

I went through both the blog and the code for Observational Memory, and really interesting direction, and I appreciate the transparency in sharing implementation details. I do have a few thoughts on the SOTA memory claim and the broader framing.From what I can see:1. The implementation appears heavily tuned toward performing well on LongMemEval. That's a useful signal, but it doesn't...

https://www.ihatepdf.in/

https://addyosmani.com/blog/self-improving-agents/

https://www.moltverr.com/

https://getfirstcheck.com/

https://moltx.io/

https://www.tensortonic.com/

https://github.com/affaan-m/everything-claude-code

https://www.talkwithopus.com/posts/003-dear-vibecoder.html

A lot of startups today claim they have "solved agentic memory."In many cases, agentic memory is being reduced to a vector database with embeddings and retrieval. That’s not agentic memory. That’s just storage + search.Real agentic memory is about: - What an agent should remember vs forget - How memory changes over time (decay, reinforcement, consolidation) - When memory should be read...

https://manthanguptaa.in/posts/agentic_systems_pattern/

With the increase of vibe coding I am interested in knowing some creative ways people are automating their coding work.

https://www.alphaxiv.org/abs/2601.01885

https://arxiv.org/abs/2512.05470

https://loot-drop.vercel.app/

https://manthanguptaa.in/posts/towards_human_like_memory_for_ai_agents/

https://manthanguptaa.in/posts/proof_of_work/

https://github.com/manthanguptaa/water