Hari5115/MoleculeIQ-SmolLM2-360M
Text Generation • 0.4B • Updated
Hariprasad Sundaresan PRO
Hari5115
AI & ML interests
LLMs, Fine-tuning, Agentic AI, RAG, Multilingual NLP, Transformers
Recent Activity
posted an update 1 day ago
Something quietly caught my attention while going through this week's trending papers — Three independent teams, all converging on the same problem — and all trending on HuggingFace right now.
That kind of convergence usually means the field is quietly agreeing something needs fixing.
The problem, as I understand it:
Most of us are still stuffing conversation history into a context window and calling it memory. That's not memory — that's a very expensive clipboard.
📄 Three papers worth reading:
🔹 SkillOpt — Microsoft Research ( @Yifan Yang, @Ziyang Gong et all )
Agent skills stored as natural language that improves with real usage, no retraining needed
→ https://huggingface.co/papers/2605.23904
🔹 Mem0 — Mem0 (YC S24, 41K ⭐) ( @Prateek Chhikara & all )
Graph-structured memory that retrieves what's relevant not just what's recent
→ https://arxiv.org/abs/2504.19413
🔹 EverMemOS — EverMind (@Chuanrui Hu, @Xingze Gao et all )
Separates memory into episodic, semantic and procedural types — closer to how human memory actually works
→ https://huggingface.co/papers/2601.02163
Great work from all three teams 🙌
💬 What are you actually using for agent memory in production today? Still ConversationBufferMemory, a custom schema, something else entirely? And do you think bigger context windows eventually make this problem disappear?
#AgentMemory #MemoryAugmentedAgents #LongContextLLM #AgenticAI #LangChain #SkillOpt #Mem0 #EverMemOS
upvoted a paper 1 day ago
Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryOrganizations
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